Relevant bibliographies by topics / Sentence score

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Sentence score'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Sentence score"

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Abdullah, Moch Zawaruddin, and Chastine Fatichah. "Feature-based POS tagging and sentence relevance for news multi-document summarization in Bahasa Indonesia." Bulletin of Electrical Engineering and Informatics 11, no. 1 (2022): 541–49. http://dx.doi.org/10.11591/eei.v11i1.3275.

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Sentence extraction in news document summarization determines representative sentences primarily by employing the news feature known as news feature score (NeFS). NeFS can achieve meaningful sentences by analyzing the frequency and similarity of phrases while neglecting grammatical information and sentence relevance to the title. The presence of instructive content is indicated by grammatical information carried by part of speech (POS). POS tagging is the process of giving a meaningful tag to each term based on qualified data and even surrounding words. Sentence relevance to the title is inten
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Tye-Murray, Nancy, Suzanne C. Purdy, George G. Woodworth, and Richard S. Tyler. "Effects of Repair Strategies on Visual Identification of Sentences." Journal of Speech and Hearing Disorders 55, no. 4 (1990): 621–27. http://dx.doi.org/10.1044/jshd.5504.621.

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This investigation determined whether information elicited by repair strategies enhances an individual's ability to lipread a misperceived sentence. Five groups of subjects were each assigned one of five repair strategies: (a) asking the talker to repeat a sentence, (b) simplify it, (c) rephrase it, (d) say an important keyword, and (e) speak two sentences. Subjects viewed sentences spoken by six different talkers. When a subject did not recite a sentence verbatim, the talker performed the assigned repair strategy and then repeated the original sentence. A control group of subjects saw only th
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Yadav, Chandra Shekhar, and Aditi Sharan. "Hybrid Approach for Single Text Document Summarization Using Statistical and Sentiment Features." International Journal of Information Retrieval Research 5, no. 4 (2015): 46–70. http://dx.doi.org/10.4018/ijirr.2015100104.

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Summarization is a way to represent same information in concise way with equal sense. This can be categorized in two type Abstractive and Extractive type. Our work is focused around Extractive summarization. A generic approach to extractive summarization is to consider sentence as an entity, score each sentence based on some indicative features to ascertain the quality of sentence for inclusion in summary. Sort the sentences on the score and consider top n sentences for summarization. Mostly statistical features have been used for scoring the sentences. A hybrid model for a single text documen
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Mohamed, Syed Sabir, and Shanmugasundaram Hariharan. "A Summarizer for Tamil Language Using Centroid Approach." International Journal of Information Retrieval Research 6, no. 1 (2016): 1–15. http://dx.doi.org/10.4018/ijirr.2016010101.

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Document summarization plays a vital role in the use and management of information dissemination. This paper investigates a method for the production of summaries from Tamil newspaper text document. The primary goal is to create an effective and efficient tool that is able to summarize the given text documents in a form of meaningful extract of the original text document using centroid-based algorithm. The paper focuses on generating summaries using a centroid-based algorithm, which represents group of words that are statistically important for a document. Each sentence in a document is consid
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Haynes, William O., and Susie F. Steed. "Multiphonemic Scoring of Articulation in Imitative Sentences." Language, Speech, and Hearing Services in Schools 18, no. 1 (1987): 4–14. http://dx.doi.org/10.1044/0161-1461.1801.04.

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The present study gathered preliminary data on clinicians' ability to reliably score children's productions of consonants. Nine articulation-disordered children were asked to imitate 65 sentences. The consonants tested occurred in two words in each sentence. A total of 337 consonants were tested. Clinicians scored the children's productions on pretranscribed scoring sheets. Data were gathered on test-retest and interjudge reliability and efficiency of the task in minutes and a correlation coefficient was computed between the children's imitative sentence performance and their Percent Consonant
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Suprapti Suprapti. "Analisis Teknik Menyusun Unsur Kalimat Untuk Meningkatkan Kemampuan Menyusun Kalimat Efektif." Jurnal Nakula : Pusat Ilmu Pendidikan, Bahasa dan Ilmu Sosial 1, no. 6 (2023): 263–82. http://dx.doi.org/10.61132/nakula.v1i6.552.

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This study is entitled "Analysis of Sentence Element Structuring Techniques to Improve the Ability to Compose Effective Sentences". The problems studied in this study are 1) How to improve the ability to compose sentences effectively through sentence element techniques in grade IX junior high school students 2) How did the behavior of grade IX junior high school students change during the study?. The purpose of this study was (1) to obtain an objective description of the improvement of the ability of grade IX junior high school students to construct effective sentences after the students were
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Liu, Chang, Pengyuan Zhang, Ta Li, and Yonghong Yan. "Semantic Features Based N-Best Rescoring Methods for Automatic Speech Recognition." Applied Sciences 9, no. 23 (2019): 5053. http://dx.doi.org/10.3390/app9235053.

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In this work, we aim to re-rank the n-best hypotheses of an automatic speech recognition system by punishing the sentences which have words that are semantically different from the context and rewarding the sentences where all words are in semantical harmony. To achieve this, we proposed a topic similarity score that measures the difference between topic distribution of words and the corresponding sentence. We also proposed another word-discourse score that quantifies the likeliness for a word to appear in the sentence by the inner production of word vector and discourse vector. Besides, we us
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Hapsari Nina Nabilah, Hasnida, and Rahma Fauzia. "Tingkat Stres Narapidana Ditinjau dari Vonis Hukuman." Jurnal Pengabdian Masyarakat dan Riset Pendidikan 4, no. 1 (2025): 1122–27. https://doi.org/10.31004/jerkin.v4i1.1554.

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This study aims to describe the stress levels of prisoners based on their sentence type, namely sentences of more than one year (BI), life imprisonment, and death penalty. This research employed a descriptive quantitative approach involving 337 male inmates from Correctional Institution X, consisting of 298 inmates with sentences of more than one year (BI), 33 with life imprisonment, and 6 with death sentences. The instrument used was the Perceived Stress Scale (PSS), which had been adapted into Indonesian, and the data were analyzed using descriptive statistics.The results showed that inmates
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D. Samson, Dr Ignatius A Herman, Dr Ibrahim Olanya Bwalya, and Dr Kitraj Penchinkilas. "Artificial Intelligent Decoding of Rare Words in Natural Language Translation Using Lexical Level Context and Fuzzy Semantic Reasoning." Asian Journal of Applied Science and Technology 07, no. 02 (2023): 171–77. http://dx.doi.org/10.38177/ajast.2023.7218.

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Artificial intelligence based Machine Translation is a Natural Language Processing, attaining significant attention to fully computerize the system that can decode basis content into the target languages. The proposed method is a Neural Machine Translation, end-to-end system, with the sentence context for converting German sentences to English sentences. The Transformer based Machine Translation is used for translation integrated with fuzzy semantic representation for handling the occurrence of rare words in the sentence level context. The FSR organization uncommon phrases collectively and con
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Llanos, Fernando, Kirsten Meemann, Rajka Smiljanic, and Bharath Chandrasekaran. "High spectral covariation between frequency channels contributes to clear speech intelligibility." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A169. http://dx.doi.org/10.1121/10.0018544.

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Speech signals are acoustically redundant, which could explain why sentence intelligibility is fairly robust even when sentences are acoustically degraded. We investigated the contributions to sentence intelligibility of clear speech redundancy encoded as patterns of spectrotemporal covariation between frequency channels. Participants (N = 16) transcribed 120 clear-speech English sentences acoustically degraded to 5, 8, or 15 frequency bands derived from an ERB-scaled filter bank. Before the acoustic degradation, each sentence was expressed as a linear combination of principal component eigenv
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Dissertations / Theses on the topic "Sentence score"

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Riback, Michelle Lynn. "A Comparison of Developmental Sentence Score Patterns in Three Groups of Preschool Children." PDXScholar, 1992. https://pdxscholar.library.pdx.edu/open_access_etds/4694.

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Researchers have successfully labeled specific patterns of expressive language development as it appears in children developing language normally. Little research has identified particular patterns of expressive language in children who display expressive language disorders or delays. Longitudinal studies of expressively language impaired children indicate that linguistic, educational and social impairments exist long after the language impairment was first identified (Aram, Eckelman and Nation, 1984; Aram and Nation, 1980; Fundudis, Kolvin and Garside, 1979; Stark, Berstein, Condino, Bender,
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Reitler, Angela K. "A Mixed-Methodological Exploration of Potential Confounders in the Study of the Causal Effect of Detention Status on Sentence Severity in One Federal Court." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377866571.

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Roeser, Jens. "Planning scope in spoken and written sentence production." Thesis, Nottingham Trent University, 2017. http://irep.ntu.ac.uk/id/eprint/33423/.

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This thesis investigates two questions about the cognitive mechanisms underlying the advance preparation of sentences. First, how much planning does the language system require to begin outputting a sentence and second, how is this scope determined. Previous research has concluded that advance planning embraces less than the sentence, is determined by either content or structure of some minimal linguistic unit, and is subject to variation (V. S. Ferreira & Slevc, 2007). Unlike previous research, the presented hypotheses were evaluated in both speech and writing. This eliminates explanations in
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Allum, Paul Humphrey. "Planning Scope in Spoken Sentence Production : The Role of Grammatical Units." Thesis, University of Birmingham, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.521932.

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Tucker, Daniel. "Scope Licensing in English Sentences Containing Universal Quantifiers and Negation by L1-Mandarin Chinese L2-English Adult Learners." OpenSIUC, 2013. https://opensiuc.lib.siu.edu/theses/1188.

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Recent research in both native (L1) and non-native (L2) knowledge of quantifier scope has led to a number of competing beliefs about the nature of learner knowledge. With regard to native knowledge, it has been noted in the literature that there is a discrepancy between L1 child and adult performance in quantifier interpretation. This observed mismatch has led to the formulation of two conflicting analyses of the L1 data. Philip (1991, 1992, and 1995) and others (Philip and Takahashi, 1991; Roeper, Strauss and Pearson, 2004, 2005; DelliCarpini, 2003) propose that quantification is a natural ac
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Ameer, Saleh. "How to even the score : an investigation into how native and Arab non-native teachers of English rate essays containing short and long sentences." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/17361/.

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In the field of education, test scores are meant to provide an indication of test-takers’ knowledge or abilities. The validity of tests must be rigorously investigated to ensure that the scores obtained are meaningful and fair. Owing to the subjective nature of the scoring process, rater variation is a major threat to the validity of performance-based language testing (i.e., speaking and writing). This investigation explores the influence of two main effects on writing test scores using an analytic rating scale. The first main effect is that of raters’ first language (native and non-native). T
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Maldonado, Mora. "La compréhension des ambiguïtés sémantiques : une perspective expérimentale." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLEE014/document.

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Les ambiguïtés de phrases sont au cœur de la recherche sur la compréhension du langage depuis un certain temps. Pour les sémanticiens, ces ambigüités ont été utilisées pour suggérer l’existence de différents mécanismes abstraits qui pourraient s’appliquer à une même structure syntaxique au stade de l’interprétation. Pour les psycholinguistes, les ambiguïtés sémantiques ont offert un outil d’étude de la dynamique du traitement de phrases : puisque les ambiguïtés tendent à être résolues incrémentalement (c’est-à-dire avant la fin de la phrase), le schéma de traitement des phrases ambiguës peut p
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Pitfield, Doreen Jennie. "Public opinion on sentencing in Pretoria." Thesis, 1997. http://hdl.handle.net/10500/15792.

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Summaries in English and Afrikaans<br>The study explores the beliefs and wishes of respondents in Pretoria concerning crime seriousness and criminal sentencing in South Africa. It is suggested that in a democracy, the legal system must reflect the values of the individual citizen if it is to achieve a legitimacy based upon the concepts of moral consent and universality, and argues that this can only be achieved when all citizens have a voice. The study undertakes and reports on a survey of 400 units, across race divisions in and around the City of Pretoria by initially emulating, and thereafte
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Veselý, Vojtěch. "Projekce presupozic v češtině." Doctoral thesis, 2014. http://www.nusl.cz/ntk/nusl-338489.

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On the Presupposition Projection in Czech I understand presupposition as both an implication and a set of requirements which have to be fulfilled by the (passive) context, i.e. a set of realized propositions and logico- semantic relations between them shared by the communicants. The content of presupposition is formed by information which the speaker characterizes as predetermined, i.e. known to the communicants. Presupposition is a semantically narrower notion than implication: every meaning expressed indirectly is implied, but not every implied meaning is presupposed. Contextually bound cons
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Books on the topic "Sentence score"

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No Boring Practice, Please! Sentence Structure: Reproducible Practice Pages PLUS Easy-to-Score Quizzes That Give Kids Review in Kinds of Sentences, Subject-Verb ... Passive Voice, and More (Teaching Resources). Teaching Resources, 2005.

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de Keijser, Jan, Julian V. Roberts, and Jesper Ryberg, eds. Sentencing for Multiple Crimes. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190607609.001.0001.

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Most people assume that criminal offenders have only been convicted of a single crime. However, in reality almost half of offenders stand to be sentenced for more than one crime. The high proportion of multiple-crime offenders poses a number of practical and theoretical challenges for the criminal justice system. For instance, how should courts punish multiple offenders relative to individuals who have been sentenced for a single crime? Should a court simply determine a specific sentence for each individual crime and then impose the total sentences on the offender? If this happens, an offender
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Report on sentencing by offense, race, and criminal conduct score and criminal justice plan. The Commission, 1999.

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Lidz, Jeffrey L. Quantification in Child Language. Edited by Jeffrey L. Lidz, William Snyder, and Joe Pater. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199601264.013.21.

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This chapter addresses role of cognitive, information processing and learning mechanisms underlying children’s acquisition of quantifiers in natural language. We discuss the cognitive mechanisms that provide content to quantificational expressions, constraints on possible quantifier meanings, and the role of syntax in identifying a novel word as quantificational. We also examine the syntax and semantics of quantifiers in development, examining interactions between multiple scope bearing expressions in a single sentence. We explore the grammatical and psycholinguistic constraints at play in sha
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Taraldsen, Tarald. Remarks on the Relation between Case-Alignment and Constituent Order. Edited by Jessica Coon, Diane Massam, and Lisa Demena Travis. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198739371.013.14.

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The topic of this chapter is a descriptive generalization indicating a connection between case-alignment and the linear order of the major constituents of a sentence. In particular, the generalization claims that no SVO language can have Ergative/Absolutive case-alignment (“Mahajan’s Generalization”). The discussion focuses on determining to what extent existing theories of case-alignment provide a basis for explaining the descriptive generalization as well as its exceptions, and some concrete proposals are examined. I also suggest ways of broadening the empirical foundations of the generaliza
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Guasti, M. Teresa. Voice Alternations (Active, Passive, Middle). Edited by Jeffrey L. Lidz, William Snyder, and Joe Pater. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199601264.013.10.

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Acquisition of the passive voice has been studied since the sixties; these earlier results have provided evidence for difficulties in both comprehension and production at 4–5 years of age with differences depending on the shape of sentences and the type of verbs involved. This led to an interpretation expressed in the A-chain deficit hypothesis, whereby children are challenged by movement of the internal argument to the subject position. More recent studies, using new techniques and new insights, have shown an earlier mastery of some passives (age 3), have narrowed down the scope of difficulti
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Manuel José Cepeda, Espinosa, and Landau David. Part Two Rights, 7 The Rights of Victims and Transitional Justice. Oxford University Press, 2017. http://dx.doi.org/10.1093/law/9780190640361.003.0007.

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Because of the scope and duration of Colombia’s internal armed conflict, that conflict has produced much suffering in the civilian population. This chapter focuses on the Court’s jurisprudence protecting the rights of victims, especially of the internal armed conflict. In this area, the incorporation of international law has been particularly important. Drawing on this jurisprudence, the Court has insisted that victims be given rights to truth, justice, and reparations. The contours of this right have proven particularly important in processes in which the government has sought to give amnesti
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MacBride, Fraser. Predicate Reference. Edited by Ernest Lepore and Barry C. Smith. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199552238.003.0019.

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Whether a predicate is a referential expression depends upon what reference is conceived to be. Even if it is granted that reference is a relation between words and worldly items, the referents of expressions being the items to which they are so related, this still leaves considerable scope for disagreement about whether predicates refer. One of Frege's great contributions to the philosophy of language was to introduce an especially liberal conception of reference relative to which it is unproblematic to suppose that predicates are referring expressions. According to this liberal conception, e
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Kanyoro, Musimbi. Alternative Luther. Edited by ElseMarie Wiberg Pedersen. Published by Lexington Books/Fortress Academic, 2019. https://doi.org/10.5040/9781978720190.

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Contributors to this book analyze areas of Martin Luther’s and Lutheran theology that have otherwise been neglected or underrepresented in the five hundred years since the Reformation. They constructively widen the scope of Luther and Lutheran theology by viewing both from the perspectives of the “subaltern,” those whose voices are barely or rarely heard. The book formulates an inclusive Lutheran theology that reaches out but does not close out. The book’s sections address “Precarious Life,” from Luther’s own precarious existence as an outlaw under a death sentence to other precarious life sit
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Ambos, Kai. Treatise on International Criminal Law. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780199665617.001.0001.

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Abstract Since the adoption of the Rome Statute of the International Criminal Court in 1998, international criminal law has rapidly grown in importance. This three-volume treatise on international criminal law presents a foundational and systematic analysis of the field. Taking into account the scholarly literature, not only sources written in English but also in French, German, Italian, Portuguese, and Spanish, the book draws on academic and practical work in international criminal law. This third volume offers an analysis of the procedures and implementation of international law by internati
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Book chapters on the topic "Sentence score"

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Lahiri, Shibamouli, Prasenjit Mitra, and Xiaofei Lu. "Informality Judgment at Sentence Level and Experiments with Formality Score." In Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19437-5_37.

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Nguyen Thi, Thuy, Anh Nguyen Viet, Thin Dang Van, and Ngan Luu-Thuy Nguyen. "Software Mention Recognition with a Three-Stage Framework Based on BERTology Models at SOMD 2024." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65794-8_18.

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AbstractThis paper describes our systems for the sub-task I in the Software Mention Detection in Scholarly Publications shared-task. We propose three approaches leveraging different pre-trained language models (BERT, SciBERT, and XLM-R) to tackle this challenge. Our best-performing system addresses the named entity recognition (NER) problem through a three-stage framework. (1) Entity Sentence Classification - classifies sentences containing potential software mentions; (2) Entity Extraction - detects mentions within classified sentences; (3) Entity Type Classification - categorizes detected me
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Spring, Nicolas, Marek Kostrzewa, Annette Rios, and Sarah Ebling. "Ensembling and Score-Based Filtering in Sentence Alignment for Automatic Simplification of German Texts." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05028-2_8.

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Szabolcsi, Anna. "1. Scope and binding." In Semantics - Sentence and Information Structure, edited by Paul Portner, Claudia Maienborn, and Klaus von Heusinger. De Gruyter, 2019. http://dx.doi.org/10.1515/9783110589863-001.

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Štícha, František. "Acceptability and the Scope of Grammar." In The Syntax of Sentence and Text. John Benjamins Publishing Company, 1994. http://dx.doi.org/10.1075/llsee.42.31sti.

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González-Rodríguez, Raquel. "Reconstruction and scope in exclamative sentences." In Linguistik Aktuell/Linguistics Today. John Benjamins Publishing Company, 2007. http://dx.doi.org/10.1075/la.111.06gon.

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Sulbaran, Tulio. "Evaluating the Comprehension of Construction Schedules of an Artificial Intelligence." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.53.

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Construction schedules are an important tool to communicate with the project stakeholders and are critical for the project management team to plan, coordinate, and manage construction projects. Each construction project has a unique schedule that is created based on the construction drawings, specifications, contracting requirements, construction methods, and the judgment of the project management team. Therefore, each construction schedule is unique in many aspects such as the number of activities, the names of the activities, the duration of those activities, and the relationship between the
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Sulbaran, Tulio. "Evaluating the Comprehension of Construction Schedules of an Artificial Intelligence." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.53.

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Construction schedules are an important tool to communicate with the project stakeholders and are critical for the project management team to plan, coordinate, and manage construction projects. Each construction project has a unique schedule that is created based on the construction drawings, specifications, contracting requirements, construction methods, and the judgment of the project management team. Therefore, each construction schedule is unique in many aspects such as the number of activities, the names of the activities, the duration of those activities, and the relationship between the
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Kiss, Katalin É. "The Order and Scope of Operators in the Hungarian Sentence." In Linguistik Aktuell/Linguistics Today. John Benjamins Publishing Company, 1986. http://dx.doi.org/10.1075/la.4.10kis.

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Shafiei, Nazila. "Chapter 2. Persian quantifiers and their scope." In Advances in Iranian Linguistics II. John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/cilt.361.02sha.

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This paper investigates quantifiers and their scope in Persian, proposing that Persian is not a scope-rigid language, rather scope rigidity in this language is a construction-specific property controlled by scrambling. In other words, the availability of scrambling translates into lack of ambiguity (for similar arguments, see Hoji 1985, 1986 for Japanese; Ionin 2001 for Russian; Bobaljik &amp; Wurmbrand 2012 for German). I further propose that in Persian, the nature and the size of scrambling is what dictates the presence or absence of scope ambiguity, whereby the vP-internal scrambling cases
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Conference papers on the topic "Sentence score"

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Joo, Eojin, Young-Jun Lee, and Ho-Jin Choi. "Entropy-based Sentence-level Hallucination Score in Large Language Models." In 2025 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2025. https://doi.org/10.1109/bigcomp64353.2025.00022.

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Zhang, Tianyi, Atta Norouzian, Aanchan Mohan, and Frederick Ducatelle. "A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-industry.68.

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Yajnik, Archit, and Sabu Lama Tamang. "Chunker Based Sentiment Analysis for Nepali Text." In 4th International Conference on NLP Trends & Technologies. Academy & Industry Research Collaboration, 2023. http://dx.doi.org/10.5121/csit.2023.131406.

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The article represents the Sentiment Analysis (SA) of a Nepali sentence. Skip-gram model is used for the word to vector encoding. In the first experiment the vector representation of each sentence is generated by using Skip-gram model followed by the Multi-Layer Perceptron (MLP) classification and it is observed that the F1 score of 0.6486 is achieved for positive-negative classification with overall accuracy of 68%. Whereas in the second experiment the verb chunks are extracted using Nepali parser and carried out the similar experiment on the verb chunks. F1 score of 0.6779 is observedfor pos
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Basiri, Mohammad Ehsan, and Arman Kabiri. "Uninorm operators for sentence-level score aggregation in sentiment analysis." In 2018 4th International Conference on Web Research (ICWR). IEEE, 2018. http://dx.doi.org/10.1109/icwr.2018.8387244.

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Maji, Subhadeep, Rohan Kumar, Manish Bansal, Kalyani Roy, and Pawan Goyal. "Logic Constrained Pointer Networks for Interpretable Textual Similarity." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/333.

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Systematically discovering semantic relationships in text is an important and extensively studied area in Natural Language Processing, with various tasks such as entailment, semantic similarity, etc. Decomposability of sentence-level scores via subsequence alignments has been proposed as a way to make models more interpretable. We study the problem of aligning components of sentences leading to an interpretable model for semantic textual similarity. In this paper, we introduce a novel pointer network based model with a sentinel gating function to align constituent chunks, which are represented
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Zheng, Chen, Yu Sun, Shengxian Wan, and Dianhai Yu. "RLTM: An Efficient Neural IR Framework for Long Documents." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/758.

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Deep neural networks have achieved significant improvements in information retrieval (IR). However, most existing models are computational costly and can not efficiently scale to long documents. This paper proposes a novel End-to-End neural ranking framework called Reinforced Long Text Matching (RLTM) which matches a query with long documents efficiently and effectively. The core idea behind the framework can be analogous to the human judgment process which firstly locates the relevance parts quickly from the whole document and then matches these parts with the query carefully to obtain the fi
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Gonçalves, Eduardo Corrêa. "Semantic Textual Similarity: In Defense of Wordnet-Based Methods." In Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana. Sociedade Brasileira de Computação, 2023. http://dx.doi.org/10.5753/stil.2023.233464.

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Wordnets have long been used as a tool for evaluating the semantic similarity between short texts. In addition to being simpler than recent deep learning approaches, methods based on wordnets offer an important advantage: they deliver results that are easy to interpret as their decisions are usually taken by considering the proximity between graph nodes. In this work, we explore a lightweight approach based on a Portuguese wordnet to solve the ASSIN 2 Semantic Textual Similarity (STS) shared task. In this task, each object of a dataset consists of a pair of Portuguese sentences annotated with
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Avais, Fabiana, Marcos Carreira, and Livy Real. "Getting Logic From LLMs: Annotating Natural Language Inference with Sabiá." In Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana. Sociedade Brasileira de Computação, 2024. https://doi.org/10.5753/stil.2024.31169.

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We discuss the difficulties of annotation for Natural Language Inference in Portuguese, comparing human and Large Language Model annotations. We used 200 sentence pairs from the ASSIN2 dataset and re-annotated them for the inference task. A semanticist conducted the first annotation, and a second round was conducted using Sabiá-3, a large language model trained on Brazilian Portuguese data. We found that Sabiá-3 has the same agreement score as human annotators, but the LLM and human annotators disagree in cases involving different linguistic phenomena. While humans tend to disagree on pairs in
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Berlanga Neto, P., E. Y. Okano, and E. E. S. Ruiz. "Experimenting Sentence Split-and-Rephrase Using Part-of-Speech Labels." In Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/kdmile.2020.11973.

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Text simplification (TS) is a natural language transformation process that reduces linguistic complexity while preserving semantics and retaining its original meaning. This work aims to present a research proposal for automatic simplification of texts, precisely a split-and-rephrase approach based on an encoder-decoder neural network model. The proposed method was trained against the WikiSplit English corpus with the help of a part-of-speech tagger and obtained a BLEU score validation of 74.72%. We also experimented with this trained model to split-and-rephrase sentences written in Portuguese
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Carrasco, Paulo, and Sandra Dias. "Exploring Natural Language Processing and Sentence Embeddings for Sentiment Analysis of Online Restaurant Reviews." In 23ª Conferência da Associação Portuguesa de Sistemas de Informação. Associação Portuguesa de Sistemas de Informação, APSI, 2023. http://dx.doi.org/10.18803/capsi.v23.85-98.

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This paper explores the application of Natural Language Processing (NLP) methods in sentiment analysis of restaurant reviews available online, for a sample of restaurants in the Algarve region. The primary objective was to develop an automated method that could efficiently extract and categorize relevant sentiments relating to five key attributes of customer satisfaction, namely food quality, service, ambient, price and restaurant’s location. Using the F1 Score the proposed method was compared against human classification benchmarks. The results showed that Universal Sentence Encoding (USE) wa
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Reports on the topic "Sentence score"

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Riback, Michelle. A Comparison of Developmental Sentence Score Patterns in Three Groups of Preschool Children. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.6578.

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