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Journal articles on the topic 'Complex sentence with the relation of identification'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Voloschenko, Maria. "UNDERSTANDING OF COMPARATIVE AND OPPOSING RELATIONSHIP IN A COMPLEX SENTENCE." Chronos 6, no. 4(54) (2021): 33–35. http://dx.doi.org/10.52013/2658-7556-54-4-8.

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The article is devoted to the study of the content of the concepts of comparative relations, oppositional relations in a complex sentence. The work shows the ambiguity of these terms and their possible identification through the notion of opposition

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2

О., В. Ткач, та В. Андрейко Я. "СКЛАДНІ РЕЧЕННЯ З ВІДНОШЕННЯМ ІДЕНТИФІКАЦІЇ У ТЕКСТАХ ХУДОЖНЬОГО СТИЛЮ". Лінгвістичні дослідження: Зб. наук. праць ХНПУ ім. Г.С. Сковороди, № 46 (14 листопада 2017): 86–93. https://doi.org/10.5281/zenodo.1048738.

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<em>The article devotes to the means of selection of the certain object in the artistic style by complex sentences with the relation of identification. Analysis of complex sentences with the relation of identification as components of the text suggests that they perform different functions in the composite structure of the text: take the starting position, continue the line of presentation and summarize the idea that they are a means of coherent text. In addition, breaking the line of presentation researched sentences pay recipient’s attention to an important moment, thus provide a recipient w

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3

Межов, Олександр. "Приховані семантико-синтаксичні відношення в системі складносурядних речень сучасної української мови: лінгвістичний та лінгводидактичний аспекти". Scientific Notes of Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University Series Philology (Linguistics), № 38 (14 серпня 2024): 47–56. http://dx.doi.org/10.31652/2521-1307-2024-38-06.

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Various types of semantic-syntactic relations can be observed in the structure of compound sentences. Typically, in the presence of specialized formal-semantic means of explication, the process of their identification by the addressee occurs quickly and smoothly. However, if conjunctions are absent or have atypical manifestations, the semantic-syntactic relations between the predicative parts of a compound sentence are hidden. This complicates their establishment by the recipient, and therefore prevents him/her from adequately perceiving and understanding the communicated information. Conseque

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Özgür, Arzucan, Junguk Hur, and Yongqun He. "The Interaction Network Ontology-supported modeling and mining of complex interactions represented with multiple keywords in biomedical literature." BioData Mining 9, no. 1 (2016): 41. https://doi.org/10.1186/s13040-016-0118-0.

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<strong>Background: </strong>The Interaction Network Ontology (INO) logically represents biological interactions, pathways, and networks. INO has been demonstrated to be valuable in providing a set of structured ontological terms and associated keywords to support literature mining of gene-gene interactions from biomedical literature. However, previous work using INO focused on single keyword matching, while many interactions are represented with two or more interaction keywords used in combination.<strong>Methods: </strong>This paper reports our extension of INO to include combinatory pattern

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Babaali, Marzieh, Afsaneh Fatemi, and Mohammad Ali Nematbakhsh. "SCRQE: Subjective comparative relation quintuple extraction from questions in product domain." PLOS One 20, no. 5 (2025): e0319824. https://doi.org/10.1371/journal.pone.0319824.

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The extraction of subjective comparative relations is essential in the field of question answering systems, playing a crucial role in accurately interpreting and addressing complex questions. To tackle this challenge, we propose the SCQRE model, specifically designed to extract subjective comparative relations from questions by focusing on entities, aspects, constraints, and preferences. Our approach leverages multi-task learning, the Natural Language Inference (NLI) paradigm, and a specialized adapter integrated into RoBERTa_base_go_emotions to enhance performance in Element Extraction (EE),

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Schaefer, Ronald P. "Demarcating Emai dative constructions." Studies in African Linguistics 42, no. 1 (2013): 70–94. http://dx.doi.org/10.32473/sal.v42i1.107275.

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This paper investigates the formal and functional character of a dative relation and two additional structural relations in Emai, an Edoid language of West Benue Congo stock (Bendor-Samuel 1989, Williamson and Blench 2000). Each relation is grammatically expressed by a common morphophoneme. Postverbal particle li/ni marks Emai dative constituents. In addition, li/ni codes a limited range of subordinate clause types within complex sentences, and within noun phrases it designates a subset of modifying constituents. To bridge the common formal marking across these structural relations, we postula

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Mihaleva, Svetlana N., and Irina N. Kostina. "FEATURES OF INTRODUCTORY CONSTRUCTION FUNCTIONING IN SENTENCE STRUCTURE." Sovremennye issledovaniya sotsialnykh problem 16, no. 4 (2024): 113–23. https://doi.org/10.12731/2077-1770-2024-16-4-454.

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Background. The study is devoted to the problem of semantic features of introductory constructions (hereinafter referred to as IC). Currently, we are considering the synthesis of the main and introductory sentences with a single complex syntactic construction, in which the introductory sentence is semantically and grammatically connected to the main sentence as an organizing center. Since introductory constructions have additional semantic features and are sometimes able to influence with their help the general meaning of a newly formed utterance, it seems appropriate to consider their functio

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Repnina, T. V. "Poly-predicative conditional constructions in Catalan (in comparaison with Spanish and French)." Vestnik of Samara University. History, pedagogics, philology 27, no. 3 (2021): 128–36. http://dx.doi.org/10.18287/2542-0445-2021-27-3-128-136.

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By poly-predicative conditional constructions we mean complex sentences that contain at least three simple sentences, each representing either a condition or a consequence. Poly-predicative sentences can in addition contain other simple sentences that represent neither condition, nor consequence. Poly-predicative constructions that, apart from one condition and one consequence, also include other simple sentences, are not classified here as poly-predicative conditional constructions. While poly-predicative constructions in general have already been in the focus of researches attention, this ar

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Burtsev, V. A. "Features of the Use of Addressed Statements in Russian Orthodox Sermon." Nauchnyi dialog 1, no. 10 (2020): 9–25. http://dx.doi.org/10.24224/2227-1295-2020-10-9-25.

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The features of the use of addressed utterances are considered from the point of view of the concept of asubjectivation, as opposed to the locuous activity of the subject of speech. Asubjectivation is defined as the presence in the semantics of the statement of the point of view of a non-assertive judgment subject, which is not perceived by the speaker’s sphere of consciousness and imposes restrictions on the meaning of the illocutionary act. The main method for identifying and describing asubjectivation in addressed utterances in a sermon is the identification of the scope and illocutionary f

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Pu, Ruili, Yang Li, Jun Zhao, et al. "A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 17 (2024): 18879–87. http://dx.doi.org/10.1609/aaai.v38i17.29853.

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Event Causality Extraction (ECE) aims to extract the cause-effect event pairs with their structured event information from plain texts. As far as we know, the existing ECE methods mainly focus on the correlation between arguments, without explicitly modeling the causal relationship between events, and usually design two independent frameworks to extract cause events and effect events, respectively, which cannot effectively capture the dependency between the subtasks. Therefore, we propose a joint multi-label extraction framework for ECE to alleviate the above limitations. In particular, 1) we

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11

Zhang, Mengqi, Lei Ma, Yanzhao Ren, Ganggang Zhang, and Xinliang Liu. "Span-based model for overlapping entity recognition and multi-relations classification in the food domain." Mathematical Biosciences and Engineering 19, no. 5 (2022): 5134–52. http://dx.doi.org/10.3934/mbe.2022240.

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<abstract><p>Information extraction (IE) is an important part of the entire knowledge graph lifecycle. In the food domain, extracting information such as ingredient and cooking method from Chinese recipes is crucial to safety risk analysis and identification of ingredient. In comparison with English, due to the complex structure, the richness of information in word combination, and lack of tense, Chinese IE is much more challenging. This dilemma is particularly prominent in the food domain with high-density knowledge, imprecise syntactic structure. However, existing IE methods focu

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Mohamed, Sally, Mahmoud Hussien, and Hamdy M. Mousa. "ADPBC: Arabic Dependency Parsing Based Corpora for Information Extraction." International Journal of Information Technology and Computer Science 13, no. 1 (2021): 54–61. http://dx.doi.org/10.5815/ijitcs.2021.01.04.

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There is a massive amount of different information and data in the World Wide Web, and the number of Arabic users and contents is widely increasing. Information extraction is an essential issue to access and sort the data on the web. In this regard, information extraction becomes a challenge, especially for languages, which have a complex morphology like Arabic. Consequently, the trend today is to build a new corpus that makes the information extraction easier and more precise. This paper presents Arabic linguistically analyzed corpus, including dependency relation. The collected data includes

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Trostynska, O. "Contrastive approach in teaching Ukrainian as a foreign language." Teaching languages at higher institutions, no. 43 (December 25, 2023): 128–44. http://dx.doi.org/10.26565/2073-4379-2023-43-09.

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The article continues a series of studies dedicated to teaching the Ukrainian language to foreign students who either know or have experience in studying Russian. This group comprises foreigners from post-Soviet countries, as well as foreign master’s and postgraduate students who previously studied in Ukrainian higher education institutions in Russian. In compliance with the Law on Education, they are now studying Ukrainian or learning it as the state language of their current country of study. The mastery of a new foreign language, as is commonly known, is built upon existing speaking experie

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14

Valentinova, Olga, Michail Rybakov, and Alicja Pstyga. "Typological Safety of the Russian Language as the Necessary Condition of Cultural and Intellectual Self-Identification of the Russian Society." Theoretical and Practical Issues of Journalism 7, no. 3 (2018): 418–28. http://dx.doi.org/10.17150/2308-6203.2018.7(3).418-428.

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Phenomena characteristic for speech works of all functional styles of the modern Russian literary language, which are traditionally considered from the normative-didactic point of view: violation of case coordination, the appearance of the plural in abstract nouns, the non-identification of voice, the lack of correlation between the subject of the participial construction and the subject of the sentence etc. - are discussed by the authors of the article from the standpoint of modern systemic linguistics. The method of the systemic typology of languages used by researchers makes it possible to

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Роговнева, Ю. В. "Polypredicative units and their relation to simple and complex sentences." Russkii iazyk za rubezhom, no. 2(303) (April 24, 2024): 74–78. http://dx.doi.org/10.37632/pi.2024.303.2.012.

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Существующие определения предложения как минимальной предикативной и предикативной единицы нуждаются в дополнении, которое поможет снять вопросы относительно границ этой единицы. В статье предлагается считать предложением предикативный отрезок между двумя завершающими знаками препинания. Этот отрезок может состоять как из одной предикации – монопредикативное предложение, так и из нескольких – полипредикативное предложение. Автор соотносит монопредикативные и полипредикативные единицы с простым и сложным предложением. The existing definitions of a sentence as a minimal predicative and predicati

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Khamrayeva, Zebiniso Khaydar kizi. "LINGUISTIC FEATURES OF COMPLEX SENTENCES (ON THE MATERIAL OF THE SCIENTIFIC TEXT)." Academic Research Journal 2, no. 1 (2023): 111–19. https://doi.org/10.5281/zenodo.7558455.

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The article is based on investigation of complex sentence and their linguistic features and simultaneously it study  a scientific text the framework of its functional and stylistic features in relation to a complex sentence as a construct text as a whole. The syntactic features of a complex sentence are studied, as well as modern approaches to comprehending of a complex sentence, taking into account the corresponding syntactic transformations. The influence of the syntactic structure of a complex sentence on the choice of a translation strategy when translating a scientific text from Engl

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17

Willem Saragih and Christine Hutajulu. "Types of Sentences Used by Male and Female Writers in Journal Article Abstracts." LingLit Journal Scientific Journal for Linguistics and Literature 1, no. 1 (2020): 1–11. http://dx.doi.org/10.33258/linglit.v1i1.345.

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This study analyzed the types of sentences used in the Abstracts of Journal Articles written by 10 Female and 10 Male fully sourced from the Book Program of The First Annual International Seminar UNIMED Medan: November 19, 2016. Of the 195 sentences, 102 of which were written by females, and 92 by Males, all types of sentences are present. The occurrence of the types of sentence used by Females is Simple Sentence (50.1%), Complex Sentence (37.1%), Complex - Compound Sentence (6.8%), and Compound Sentence (4.9%). By Males, Simple Sentence is (50.%), Complex Sentence (41%), Compound Sentence (5.

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Saragih, Willem, and Christine Helena Natalia. "Types of Sentences Used by Male and Female Writers in Journal Article Abstracts." BAHAS 31, no. 4 (2020): 227. http://dx.doi.org/10.24114/bhs.v31i4.21911.

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ABSTRACTThis study analyzed the types of sentences used in the Abstracts of Journal Articles written by 10 Female and 10 Male fully sourced from the Book Program of The First Annual International Seminar UNIMED Medan: November 19, 2016. Of the 195 sentences, 102 of which were written by females, and 92 by Males, all types of sentences are present. The occurrence of the types of sentence used by Females is Simple Sentence (50.1%), Complex Sentence (37.1%), Complex - Compound Sentence (6.8%), and Compound Sentence (4.9%). By Males , Simple Sentence is (50.%), Complex Sentence (41%), Compound Sen

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Islomova, Muattar Bozor kizi, and Ibrahimjon Korpashevich Usarov. "STYLISTIC ASPECTS OF COMPOUND SENTENCES." Academic Research Journal 2, no. 1 (2023): 190–93. https://doi.org/10.5281/zenodo.7589407.

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In this thesis, the scientific text is considered within the framework of its functional and stylistic features, its functional and stylistic characteristics are identified in relation to a complex sentence as a text construct as a whole, the syntactic features of a complex sentence are studied, as well as modern approaches to the translation of a complex sentence, taking into account the corresponding syntactic transformations.

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20

Qi, Shanshan, Limin Zheng, and Feiyu Shang. "Dependency Parsing-based Entity Relation Extraction over Chinese Complex Text." ACM Transactions on Asian and Low-Resource Language Information Processing 20, no. 4 (2021): 1–34. http://dx.doi.org/10.1145/3450273.

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Open Relation Extraction (ORE) plays a significant role in the field of Information Extraction. It breaks the limitation that traditional relation extraction must pre-define relational types in the annotated corpus and specific domains restrictions, to realize the goal of extracting entities and the relation between entities in the open domain. However, with the increase of sentence complexity, the precision and recall of Entity Relation Extraction will be significantly reduced. To solve this problem, we present an unsupervised Clause_CORE method based on Chinese grammar and dependency parsing

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Li, Xiang, Junan Yang, Pengjiang Hu, and Hui Liu. "LAPREL: A Label-Aware Parallel Network for Relation Extraction." Symmetry 13, no. 6 (2021): 961. http://dx.doi.org/10.3390/sym13060961.

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Relation extraction is a crucial task in natural language processing (NLP) that aims to extract all relational triples from a given sentence. Extracting overlapping relational triples from complex texts is challenging and has received extensive research attention. Most existing methods are based on cascade models and employ language models to transform the given sentence into vectorized representations. The cascaded structure can cause exposure bias issue; however, the vectorized representation of each sentence needs to be closely related to the relation extraction with pre-defined relation ty

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MONTGOMERY, JAMES W., JULIA L. EVANS, and RONALD B. GILLAM. "Relation of auditory attention and complex sentence comprehension in children with specific language impairment: A preliminary study." Applied Psycholinguistics 30, no. 1 (2009): 123–51. http://dx.doi.org/10.1017/s0142716408090061.

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ABSTRACTWe investigated the relation of two dimensions of attentional functioning (sustained auditory attention and resource capacity/allocation) and complex sentence comprehension of children with specific language impairment (SLI) and a group of typically developing (TD) children matched for age. Twenty-six school-age children with SLI and 26 TD peers completed an auditory continuous performance task (ACPT, measure of sustained attention), a concurrent verbal processing-storage task (measure of resource capacity/allocation), and a picture pointing comprehension task. Correlation analyses wer

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Borysov, Oleksii, and Olena Vasylieva. "Individual License Plates of Vehicles in the Communicative and Cognitive Perspective." Studia Philologica 2, no. 23 (2024): 20–32. https://doi.org/10.28925/2311-2425.2024.232.

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The article focuses on analyzing personalized license plates issued for vehicles of individuals and legal entities. A made-to-order plate is an official identification of a car or motorcycle on the roads of Ukraine. The article argues that these license plates demonstrate the owner’s linguistic creativity and represent a unique form of communication within the Ukrainian society. While standard license plates provided by the Ministry of Internal Affairs of Ukraine are impersonal and only serve to link a vehicle to its owner and a region of its registration, a personalized plate serves as a way

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Singh, Jaspreet, Gurvinder Singh, and Rajinder Singh Virk. "An Automated Complex Word Identification from Text: A Survey." Oriental journal of computer science and technology 10, no. 3 (2017): 612–17. http://dx.doi.org/10.13005/ojcst/10.03.09.

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Complex Word Identification (CWI) is the process of locating difficult words from a given sentence. The aim of automated CWI system is to make non-native English user understand the meaning of target word in the sentence. CWI systems assist second language learners and dyslexic users through simplification of text. This study introduces the CWI process and investigates the performance of twenty systems submitted in the SemEval -2016 for CWI. The G-score measure which is harmonic mean of accuracy and recall is taken for the performance evaluation of systems. This paper explores twenty CWI syste

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Dr., V. Suresh. "AN APPROACH OF CHECKING GRAMMAR FOR TELUGU LANGUAGE COMPLEX SENTENCES." INTERNATIONAL EDUCATIONAL JOURNAL OF SCIENCE AND ENGINEERING - IEJSE 7, no. 6 (2024): 01–07. https://doi.org/10.5281/zenodo.15607724.

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For grammar checking of  complex sentences, it is necessary to identify the structure of these sentences. The structure of complex sentences can be identified on the basis of number of clauses and types of clauses present in them. If a sentence contains a dependent clause along with independent clause then it is a complex sentence. Once the sentence is identified as complex sentence, the next step is to identify its pattern. After identification of patterns, various clauses present in the sentence are extracted and grammar checking is performed on them. A grammar checking system for compl

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Dou, Ruifang. "Research on the Translation of Chinese Complex Sentences With Large Language Model ChatGPT-4o —Taking English Translation of Chinese Flowing Sentences as an Example." Theory and Practice in Language Studies 15, no. 5 (2025): 1541–49. https://doi.org/10.17507/tpls.1505.19.

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Large language models (LLMs) have demonstrated outstanding performance in the field of machine translation. Many scholars have explored LLM-based translation from various perspectives, primarily focusing on the translation of routine, simple, and everyday texts. However, when it comes to the examination of specific sentence structures, especially complex sentences, the research is still somewhat insufficient. Therefore, this study attempts to investigate the translation of Chinese complex sentences by ChatGPT-4o, focusing on the translation of Chinese flowing sentences, a special sentence patt

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Prathap Reddy M, Veera, Prasad P.V.R.D, Manjunath Chikkamath, and Karthikeyan Ponnalagu. "Extracting Conjunction Patterns in Relation Triplets from Complex Requirement Sentence." International Journal of Computer Trends and Technology 60, no. 3 (2018): 133–43. http://dx.doi.org/10.14445/22312803/ijctt-v60p121.

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Ortiz-Barajas, Jesus-German, Gemma Bel-Enguix, and Helena Gómez-Adorno. "Sentence-CROBI: A Simple Cross-Bi-Encoder-Based Neural Network Architecture for Paraphrase Identification." Mathematics 10, no. 19 (2022): 3578. http://dx.doi.org/10.3390/math10193578.

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Since the rise of Transformer networks and large language models, cross-encoders have become the dominant architecture for various Natural Language Processing tasks. When dealing with sentence pairs, they can exploit the relationships between those pairs. On the other hand, bi-encoders can obtain a vector given a single sentence and are used in tasks such as textual similarity or information retrieval due to their low computational cost; however, their performance is inferior to that of cross-encoders. In this paper, we present Sentence-CROBI, an architecture that combines cross-encoders and b

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Hamed, Alaa, Arabi Keshk, and Anas Youssef. "A Lexicon-Based Framework for Mining and Analysis of Arabic Comparative Sentences." Algorithms 18, no. 1 (2025): 44. https://doi.org/10.3390/a18010044.

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People tend to share their opinions on social media daily. This text needs to be accurately mined for different purposes like enhancements in services and/or products. Mining and analyzing Arabic text have been a big challenge due to many complications inherited in Arabic language. Although, many research studies have already investigated the Arabic text sentiment analysis problem, this paper investigates the specific research topic that addresses Arabic comparative opinion mining. This research topic is not widely investigated in many research studies. This paper proposes a lexicon-based fram

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Mumrikoh, Liana, Eka Agustina, and Hastuti Retno Kuspiyah. "A Syntactic Analysis on Sentences Found in the English Textbook for the Tenth Grade Students Entitled “Bahasa Inggris Kelas X” (2017 revised edition) Published by Ministry of Education and Culture Republic of Indonesia." Channing: Journal of English Language Education and Literature 4, no. 2 (2020): 38–49. http://dx.doi.org/10.30599/channing.v4i2.743.

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This study is an analysis of sentence structure by using a syntactic approach that portrayed in the tree diagram. This study focused only on the discussion covering the identification of types of sentence and sentence structure. It was found that there are 191 sentences from the six selected text in the textbook consisting of the simple sentence which has 53 sentences (27,75%), the compound sentence has 79 sentences (41,36%), the complex sentence has 33 sentences (17,27% ) and the compound-complex sentence has 26 sentences (13,61%) from the total number of the data. The finding of the analysis

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Tomitch, Lêda Maria Braga, Sharlene D. Newman, Patricia A. Carpenter, and Marcel Adam Just. "Comprehending the topic of a paragraph: a functional imaging study of a complex language process." DELTA: Documentação de Estudos em Lingüística Teórica e Aplicada 24, no. 2 (2008): 175–97. http://dx.doi.org/10.1590/s0102-44502008000200002.

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This study uses fMRI (functional magnetic resonance imaging) to investigate the brain activity in a set of cortical areas in the task of main idea identification, when the topic sentence was presented in first versus in last position in a three-sentence paragraph. The participants were eight right-handed undergraduate students from Carnegie Mellon University, six male and 2 female, all native speakers of English. Each participant read twelve paragraphs, six in which the topic sentence was paragraph initial and six in which it was paragraph final, and each paragraph was presented word by word i

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Akhil, Chaturvedi, Singh Taranveer, and Budania Prashant. "Enhancing Sentence Embeddings with Term Frequency-KL Divergence (TF-KLD) for Improved Paraphrase Identification." Journal of Scientific and Engineering Research 7, no. 6 (2020): 306–11. https://doi.org/10.5281/zenodo.13950766.

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This paper introduces an advanced method for paraphrase identification by enhancing sentence embeddings with Term Frequency-KL Divergence (TF-KLD) weights. Unlike traditional sentence embedding methods that rely solely on frequency or contextual relevance, our approach integrates discriminative term weighting to refine the representation of sentences in semantic space. We developed a model that matches or outperforms baseline sentence embedding methods in identifying similar question pairs, particularly in datasets characterized by subtle lexical variations and complex paraphrase structures, s

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Janz, Arkadiusz, Paweł Kędzia, and Maciej Piasecki. "Graph-Based Complex Representation in Inter-Sentence Relation Recognition in Polish Texts." Cybernetics and Information Technologies 18, no. 1 (2018): 152–70. http://dx.doi.org/10.2478/cait-2018-0013.

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Abstract This paper presents a supervised approach to the recognition of Cross-document Structure Theory (CST) relations in Polish texts. Its core is a graph-based representation constructed for sentences. Graphs are built on the basis of lexicalised syntactic-semantic relations extracted from text. Similarity between sentences is calculated as similarity between their graphs, and the values are used as features to train the classifiers. Several different configurations of graphs, as well as graph similarity methods were analysed for this task. The approach was evaluated on a large open corpus

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Zhang, Mei Na, and Wei Fu. "Research about Automatic Text Summarization Based on Discourse Structure of Chinese." Advanced Materials Research 945-949 (June 2014): 3323–26. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.3323.

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A new automatic text summarization based on discourse structure of Chinese is proposed and build a summarization system. System has 3 steps: first, generates contributing the text physical structure tree; after that, it analyses the content of original texts by fusing the complex sentence, RST and many characteristic of the language, and gives RST and complex sentence analysis algorithm, then it has the logistic relation between the each level of the text and the logistic structure; finally, using the rule of the ambiguity is applied to improve the fluency of the summary last. The evaluation r

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Meng, Fanqi, Yujie Zheng, Songbin Bao, Jingdong Wang, and Shuaisong Yang. "Formulaic language identification model based on GCN fusing associated information." PeerJ Computer Science 8 (June 3, 2022): e984. http://dx.doi.org/10.7717/peerj-cs.984.

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Formulaic language is a general term for ready-made structures in a language. It usually has fixed grammatical structure, stable language expression meaning and specific use context. The use of formulaic language can coordinate sentence generation in the process of writing and communication, and can significantly improve the idiomaticity and logic of machine translation, intelligent question answering and so on. New formulaic language is generated almost every day, and how to accurately identify them is a topic worthy of research. To this end, this article proposes a formulaic language identif

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Madugu, Isaac S. "Complex verbs in Nupe and Yoruba." Studies in African Linguistics 16, no. 3 (1985): 295–322. http://dx.doi.org/10.32473/sal.v16i3.107499.

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This paper examines the structural behaviour of various types of complex verbs in Nupe and Yoruba in relation to causative constructions. When such verbs occur in simplex non-agentive causative sentences as well as in agentive non-causative sentences, they freely permit sentence embedding, resulting in biclausal causative structures. But in the case of non-agentive causatives, it is only Yoruba which allows the verbs to be irregularly embedded into causative matrix sentences in such a way that the biclausal causative structure constitutes input to Causative Clause Union, which compresses it in

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Barbuta, Ion. "Informational Organization of the Sentence in Romanian." Philologia, no. 3(318) (December 2022): 23–37. http://dx.doi.org/10.52505/1857-4300.2022.3(318).02.

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The article contains a description of the informational structure of the sentence in its capacity as a layer of meaning constituted as an effect of its contextual updating. A complex phenomenon of a discursive nature, the informational structure of the utterance requires an interpretation of the facts of language by taking into account the interrelationship between the semantic, syntactic and discursive factors involved in the act of communication. The semantic-pragmatic specificity of the informational structure of the sentence is analysed starting from the extralinguistic factors that contro

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Кулаков, Андрей Владимирович. "CRIMINOLOGICAL CHARACTERISTICS OF THE PERSONALITY OF A CONVICTED PERSON WITH SOCIAL DEVIATIONS TYPICAL FOR PLACES OF DEPRIVATION OF LIBERTY." Vestnik Samarskogo iuridicheskogo instituta, no. 2(38) (August 4, 2020): 53–60. http://dx.doi.org/10.37523/sui.2020.38.2.008.

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Исследование личности преступника было и остается актуальным для науки криминологии. Установление особенностей личности позволяет познать субъективные детерминанты правонарушающего, в том числе и преступного, поведения, а также делает возможным назначение справедливого наказания, основанного на учете общественной опасности совершенного деликта, и разработку мер предупредительно-профилактического воздействия. Именно личность, а ничто иное, является носителем причин совершения преступления. Это в полной мере относится и к личности осужденного, отбывающего наказание в местах лишения свободы. Несм

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Duan, Yuquan. "Conjunction wja1 in Tangut Language." Journal of Chinese Writing Systems 3, no. 1 (2018): 3–10. http://dx.doi.org/10.1177/2513850218796081.

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Tangut wja1 is considered as a verb, a noun or a pronoun, which is ambiguous in current dictionaries. This paper makes it clear that wja1 is a conjunction in grammatical words of the Tangut language, and can be used to translate the conjunction na in Tibetan language. This conjunction usually occurs at the end of a former clause in a compound sentence, and expresses progressive, hypothetical, conditional and sequenced relations with the latter clause. Moreover, the latter clause is usually an interrogative sentence, in which there are mostly rhetorical questions in the progressive relation com

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Беданокова, Сусанна Каплановна. "Circumstantial determinants in the structure of a complex sentencein modern French." Вестник Адыгейского государственного университета, серия «Филология и искусствоведение», no. 2(277) (October 6, 2021): 24–29. http://dx.doi.org/10.53598/2410-3489-2021-2-277-24-29.

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Рассмотрены некоторые особенности функционирования обстоятельственного детерминанта в структуре сложноподчиненного предложения. Теоретическая значимость определяется в поле конструктивного синтаксиса и выявления наиболее устойчивых и частотных признаков функционирования различных структурных компонентов предложения. В результате компонентного анализа намечены основные параметры систематизации особенностей функционирования детерминирующих компонентов в структуре сложного предложения, что формирует практическую значимость проведенного исследования при работе с текстами. Исследование строилось на

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Neville, Donald D., and Evelyn F. Searls. "The Effect of Sentence-Combining and Kernel-Identification Training on the Syntactic Component of Reading Comprehension." Research in the Teaching of English 19, no. 1 (1985): 37–61. http://dx.doi.org/10.58680/rte198515653.

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This study examined the effect of sentence-combining and kernel-identification practice on the syntactic component of sixth graders’ reading comprehension, as measured by a cloze instrument developed by the authors, and by two subtests from the norm-referenced Test of Reading Comprehension (TORC). The experimental group completed eight open sentence-combining exercises, seven kernel-identification exercises, and eight cloze exercises over a 10-week period (two or three exercises per week). The comparison group completed eight cloze exercises during the same period. When covaried by Comprehensi

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Khan, Kahirullah, and Wahab Khan. "Sentence Level Domain Independent Opinion and Targets Identification in Unstructured Reviews." Computers 7, no. 4 (2018): 70. http://dx.doi.org/10.3390/computers7040070.

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User reviews, blogs, and social media data are widely used for various types of decision-making. In this connection, Machine Learning and Natural Language Processing techniques are employed to automate the process of opinion extraction and summarization. We have studied different techniques of opinion mining and found that the extraction of opinion target and opinion words and the relation identification between them are the main tasks of state-of-the-art techniques. Furthermore, domain-independent features extraction is still a challenging task, since it is costly to manually create an extens

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Cheng, Kevin Kwok-Yin, Natasha Pushkarna, and Sayaka Ri. "Enhancing the legitimacy of sentences in the minds of the public: Evidence from a public opinion survey in Hong Kong." Punishment & Society 22, no. 5 (2020): 617–36. http://dx.doi.org/10.1177/1462474520915595.

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Legal and criminology scholars have devoted a great deal of attention towards measuring public confidence in the courts and sentencing. However, little is known about how attitudes toward sentencing relate to the more complex concept of legitimacy. Departing from conventional measurements of the public’s confidence in the courts and their support for various sentence outcomes, this study centres on the process of sentencing and its relation to ‘sentence legitimacy’. The central question posed in this article is what makes sentence outcomes legitimate? Survey responses from the Hong Kong public

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Rus, Maria-Laura. "Aspects of Coordination and Subordination within the Romanian Legal Discourse." Acta Marisiensis. Philologia 6, no. 6 (2024): 121–26. http://dx.doi.org/10.62838/amph-2024-0114.

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In this article we analyze the specificity of syntactic relations of coordination and subordination in the legal discourse, inside a sentence and between sentences. We underline the symmetry of sentences, the rendering of circumstances in the most varied way, the preference for complex relation elements, and the specialization of expressing a clear structural relation through prepositional units. The coordination and subordination in the legal text contribute to clear, unambiguous, concise and coherent expression.

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Singh, Anshika, and Ankit Garg. "Named Entity Recognition (NER) and Relation Extraction in Scientific Publications." International Journal of Recent Technology and Engineering (IJRTE) 12, no. 2 (2023): 110–13. http://dx.doi.org/10.35940/ijrte.b7846.0712223.

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Scientific publications are essential sources of information for researchers across various fields. However, the increasing number of publications has made it challenging for researchers to keep up with the latest advancements. The task of extracting key phrases and relationships from scientific papers is of utmost importance in the field of natural language processing. This task plays a crucial role in helping researchers efficiently identify relevant articles and extract valuable insights from them. This research focuses on the problem of key phrase extraction, classification, and relationsh

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Anshika, Singh, and Garg Ankit. "Named Entity Recognition (NER) and Relation Extraction in Scientific Publications." International Journal of Recent Technology and Engineering (IJRTE) 12, no. 2 (2023): 110–13. https://doi.org/10.35940/ijrte.B7846.0712223.

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<strong>Abstract: </strong>Scientific publications are essential sources of information for researchers across various fields. However, the increasing number of publications has made it challenging for researchers to keep up with the latest advancements. The task of extracting key phrases and relationships from scientific papers is of utmost importance in the field of natural language processing. This task plays a crucial role in helping researchers efficiently identify relevant articles and extract valuable insights from them. This research focuses on the problem of key phrase extraction, cla

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Penke, Martina, and Eva Wimmer. "Verbal short-term memory and sentence comprehension in German children and adolescents with Down syndrome: Beware of the task." First Language 40, no. 4 (2020): 367–89. http://dx.doi.org/10.1177/0142723719899587.

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In individuals with Down syndrome (DS) deficits in verbal short-term memory (VSTM) and deficits in sentence comprehension co-occur, suggesting that deficits in VSTM might be causal for the deficits in sentence comprehension. The present study aims to explore the presumed relationship between VSTM and sentence comprehension in individuals with DS by specifically targeting the influence of task demands. The authors assessed VSTM skills in 18 German-speaking children/adolescents with DS by a nonword repetition (NWR) test and elicited data from three different tasks on the comprehension of complex

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Tskhovrebov, A. S. "Erratological approach to teaching complex sentences to a foreign audience." Tambov University Review. Series: Humanities 29, no. 3 (2024): 708–23. http://dx.doi.org/10.20310/1810-0201-2024-29-3-708-723.

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Importance. Teaching foreign students of engineering and technical profile to complex specific text-forming structures of scientific style of speech is a laborious process. The identification of the causes and mechanisms of the occurrence of the errors noted in the structure of a complex sentence, their analysis (identification, elimination, correction) facilitates the process of studying these important grammatical units. The purpose of the research is to develop a new approach (erratological) to the study of a complex sentence based on error analysis. Its structural and meaningful descriptio

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Liu, Xiaofeng, Jianye Fan, and Shoubin Dong. "Document-Level Biomedical Relation Extraction Leveraging Pretrained Self-Attention Structure and Entity Replacement: Algorithm and Pretreatment Method Validation Study." JMIR Medical Informatics 8, no. 5 (2020): e17644. http://dx.doi.org/10.2196/17644.

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Background The most current methods applied for intrasentence relation extraction in the biomedical literature are inadequate for document-level relation extraction, in which the relationship may cross sentence boundaries. Hence, some approaches have been proposed to extract relations by splitting the document-level datasets through heuristic rules and learning methods. However, these approaches may introduce additional noise and do not really solve the problem of intersentence relation extraction. It is challenging to avoid noise and extract cross-sentence relations. Objective This study aime

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Zhang, Kun, Guangyi Lv, Linyuan Wang, et al. "DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 7442–49. http://dx.doi.org/10.1609/aaai.v33i01.33017442.

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Sentence semantic matching requires an agent to determine the semantic relation between two sentences, which is widely used in various natural language tasks such as Natural Language Inference (NLI) and Paraphrase Identification (PI). Among all matching methods, attention mechanism plays an important role in capturing the semantic relations and properly aligning the elements of two sentences. Previous methods utilized attention mechanism to select important parts of sentences at one time. However, the important parts of the sentence during semantic matching are dynamically changing with the de

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