Relevant bibliographies by topics / Language processing task

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

Academic literature on the topic 'Language processing task'

Author: Grafiati
Published: 19 February 2023
Last updated: 31 July 2025

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Journal articles on the topic "Language processing task"

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Lemhöfer, Kristin, and Ralph Radach. "Task Context Effects in Bilingual Nonword Processing." Experimental Psychology 56, no. 1 (2009): 41–47. http://dx.doi.org/10.1027/1618-3169.56.1.41.

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To investigate the language-specific or language-integrated nature of bilingual lexical processing in different task contexts, we studied how bilinguals process nonwords that differ in their relative resemblance to the bilinguals’ two languages in different versions of the lexical decision task. Unbalanced German-English bilinguals performed a pure-German, a pure-English, and a mixed lexical decision task on the same set of nonwords that were either very English-like or very German-like. Rejection latencies for these two nonword categories were reversed in the pure-English and pure-German cond
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Lambert, Craig, Judit Kormos, and Danny Minn. "TASK REPETITION AND SECOND LANGUAGE SPEECH PROCESSING." Studies in Second Language Acquisition 39, no. 1 (2016): 167–96. http://dx.doi.org/10.1017/s0272263116000085.

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This study examines the relationship between the repetition of oral monologue tasks and immediate gains in L2 fluency. It considers the effect of aural-oral task repetition on speech rate, frequency of clause-final and midclause filled pauses, and overt self-repairs across different task types and proficiency levels and relates these findings to specific stages of L2 speech production (conceptualization, formulation, and monitoring). Thirty-two Japanese learners of English sampled at three levels of proficiency completed three oral communication tasks (instruction, narration, and opinion) six
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Lu, Youtao, and James L. Morgan. "Homophone auditory processing in cross-linguistic perspective." Proceedings of the Linguistic Society of America 5, no. 1 (2020): 529. http://dx.doi.org/10.3765/plsa.v5i1.4733.

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Previous studies reported conflicting results for the effects of homophony on visual word processing across languages. On finding significant differences in homophone density in Japanese, Mandarin Chinese and English, we conducted two experiments to compare native speakers’ competence in homophone auditory processing across these three languages. A lexical decision task showed that the effect of homophony on word processing in Japanese was significantly less detrimental than in Mandarin and English. A word-learning task showed that native Japanese speakers were the fastest in learning novel ho
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Dong, Yanping, and Ping Li. "Attentional control in interpreting: A model of language control and processing control." Bilingualism: Language and Cognition 23, no. 4 (2019): 716–28. http://dx.doi.org/10.1017/s1366728919000786.

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AbstractInterpreting is a complex bilingual task, placing high demands on both language control (i.e., source language not interfering in target language production) and processing control (i.e., multi-tasking carried out in concert under time pressure). On the basis of empirical evidence in the literature, we propose an attentional control model to account for both language control and processing control. Specifically, language control in interpreting is achieved by a structural framework of language-modality connections (established in interpreting training and stored as task schema), and by
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SPARCK JONES, KAREN. "Automatic language and information processing: rethinking evaluation." Natural Language Engineering 7, no. 1 (2001): 29–46. http://dx.doi.org/10.1017/s1351324901002583.

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System evaluation has mattered since research on automatic language and information processing began. However, the (D)ARPA conferences have raised the stakes substantially in requiring and delivering systematic evaluations and in sustaining these through long term programmes; and it has been claimed that this has both significantly raised task performance, as defined by appropriate effectiveness measures, and promoted relevant engineering development. These controlled laboratory evaluations have made very strong assumptions about the task context. The paper examines these assumptions for six t
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Su, Yuanbin. "A general view of task-based approach to teaching language." SDCA Asia-Pacific Multidisciplinary Research Journal 5, no. 1 (2023): 8–12. https://doi.org/10.5281/zenodo.8031179.

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More teachers across all subject areas have been exploring ways to improve the conventional modes of instruction in recent years. They have sought at strategies for making the classroom more student-centered and have delved into the various ways that students might take more initiatives in learning and knowledge processing. Task-based Approach (TBA) is one of them. This paper endeavors to introduce its theoretical bases, teaching principles, teaching procedures and evaluations to present a general idea about TBA to teaching language.
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Venkatraman, Vinod, Soon Chun Siong, Michael W. L. Chee, and Daniel Ansari. "Effect of Language Switching on Arithmetic: A Bilingual fMRI Study." Journal of Cognitive Neuroscience 18, no. 1 (2006): 64–74. http://dx.doi.org/10.1162/089892906775250030.

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The role of language in performing numerical computations has been a topic of special interest in cognition. The “Triple Code Model” proposes the existence of a language-dependent verbal code involved in retrieving arithmetic facts related to addition and multiplication, and a language-independent analog magnitude code subserving tasks such as number comparison and estimation. Neuroimaging studies have shown dissociation between dependence of arithmetic computations involving exact and approximate processing on language-related circuits. However, a direct manipulation of language using differe
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Yeldo, Hima. "Natural Language Processing: Components, Advances, Tools and Industrial Applications." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (2021): 964–71. http://dx.doi.org/10.22214/ijraset.2021.38015.

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Abstract: Natural Language Processing is the study that focuses the interplay between computer and the human languages NLP has spread its applications in various fields such as an email Spam detection, machine translation, summation, information extraction, and question answering etc. Natural Language Processing classifies two parts i.e. Natural Language Generation and Natural Language understanding which evolves the task to generate and understand the text.
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Skehan, Peter, and Pauline Foster. "Task type and task processing conditions as influences on foreign language performance." Language Teaching Research 1, no. 3 (1997): 185–211. http://dx.doi.org/10.1177/136216889700100302.

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WILLIAMS, JOHN N. "Incremental interpretation in second language sentence processing." Bilingualism: Language and Cognition 9, no. 1 (2006): 71–88. http://dx.doi.org/10.1017/s1366728905002385.

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The degree to which native and non-native readers interpret English sentences incrementally was investigated by examining plausibility effects on reanalysis processes. Experiment 1 required participants to read sentences word by word and to make on-line plausibility judgements. The results showed that natives and non-natives immediately computed the plausibility of the preferred structural analysis, which then affected ease of reanalysis. Experiment 2 required participants to read the same sentences word by word in order to perform a memory task. The natives showed a similar pattern of results
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Dissertations / Theses on the topic "Language processing task"

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Elliot, Mark James. "A computational model of task oriented discourse." Thesis, University of Nottingham, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284055.

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Røkenes, Håkon Drolsum. "Graph-based Natural Language Processing : Graph edit distance applied to the task of detecting plagiarism." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-20778.

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The focus of this thesis is the exploration of graph-based similarity, in the context of natural language processing. The work is motivated by a need for richer representations of text. A graph edit distance algorithm was implemented, that calculates the difference between graphs. Sentences were represented by means of dependency graphs, which consist of words connected by dependencies. A dependency graph captures the syntactic structure of a sentence. The graph-based similarity approach was applied to the problem of detecting plagiarism, and was compared against state of the art systems. The
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Ugalde-Gonzalez, Arturo. "Processing conditions as influences on task-based foreign language performance : a longitudinal study of communication strategies." Thesis, King's College London (University of London), 2006. https://kclpure.kcl.ac.uk/portal/en/theses/processing-conditions-as-influences-on-taskbased-foreign-language-performance--a-longitudinal-study-of-communication-strategies(5e7d3767-5b17-4a47-abb5-df068881a0f8).html.

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Communicative language ability requires the development of formal linguistic resources to achieve realistic language use in real contexts and in real time. Linguistic-based instruction may become: less productive and fruitful than exposure to real-world task-based instruction. This study focuses on foreign language dev~lopment over time in sixteen subjects performing task-based activities involving description, narration and problem-solving si~uations. :.a;.... Learners' do not seem to present a clear acquisition-sequencing for language forms and. language functions. The major ideas and claims
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Zezinka, Alexandra. "Investigation of a Computerized Nonverbal Word-Picture Verification Task in Healthy Adults." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1491932143220066.

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Alamry, Ali. "Grammatical Gender Processing in Standard Arabic as a First and a Second Language." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39965.

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The present dissertation investigates grammatical gender representation and processing in Modern Standard Arabic (MSA) as a first (L1) and a second (L2) language. It mainly examines whether L2 can process gender agreement in a native-like manner, and the extent to which L2 processing is influenced by the properties of the L2 speakers’ L1. Additionally, it examines whether L2 gender agreement processing is influenced by noun animacy (animate and inanimate) and word order (verb-subject and subject-verb). A series of experiments using both online and offline techniques were conducted to address t
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Suddrey, Gavin. "Instructing and training robots through a natural language dialogue." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/229145/1/Gavin_Suddrey_Thesis.pdf.

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This thesis focused on the problem of allowing non-expert users, such as the elderly, to teach robots how to perform everyday tasks through dialogue. In particular, this thesis addressed issues relating to how task knowledge, extracted from spoken instructions, should be encoded by a robot to allow the robot to learn complex tasks; how to generalise knowledge provided by human instructors such that the robot can perform the same task across different scenarios; as well as how to handle information gaps present in the explanation of tasks provided by novice users.
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Foster, Pauline Mary. "Attending to message and medium : the effects of planning time on the task-based language performance of native and non-native speakers." Thesis, King's College London (University of London), 2000. https://kclpure.kcl.ac.uk/portal/en/theses/attending-to-message-and-medium--the-effects-of-planning-time-on-the-taskbased-language-performance-of-native-and-nonnative-speakers(528f66b6-1324-4ca7-a76c-0f4b3247e14a).html.

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Widjaja, Hendra. "Visor++ : a software visualisation tool for task-parallel object-orientated programs." Title page, abstract and contents only, 1998. http://web4.library.adelaide.edu.au/theses/09AS/09asw639.pdf.

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Bibliography: leaves 173-184. This thesis describes Visor++, a tool for visualising programs written in CC++, a task-parallel, object-orientated language derived from C++. Visor++ provides a framework of visualising task-parallel object-orientated programs in the absence of language support for visualisation, i.e. for programs such as CC++ which are written in languages which are not "visualisation-conscious". The development of techniques using a wide selection of language features are described and the effectiveness testified by experimentation.
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Enzinna, Naomi R. "The Processing of Preposition-Stranding Constructions in English." FIU Digital Commons, 2013. http://digitalcommons.fiu.edu/etd/889.

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One of the prominent questions in modern psycholinguistics is the relationship between the grammar and the parser. Within the approach of Generative Grammar, this issue has been investigated in terms of the role that Principles of Universal Grammar may play in language processing. The aim of this research experiment is to investigate this topic. Specifically, this experiment aims to test whether the Minimal Structure Principle (MSP) plays a role in the processing of Preposition-Stranding versus Pied-Piped Constructions. This investigation is made with a self-paced reading task, an on-line proc
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Masellis, Maria C. "Evidence for temporal processing deficits in children with attention deficit hyperactivity disorder and language impairments on a dichotic listening task." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0007/MQ40662.pdf.

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Books on the topic "Language processing task"

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Klose, G. Task-oriented modeling for natural language processing systems. Technische Universität Berlin, Fachbereich 13--Informatik, 1993.

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Jacobsen, Thomas. Auditory monitoring: On the processing of task-irrelevant ignored spoken language and non-language sounds. Leipziger Universitätsverlag, 2007.

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1944-, Krause Jürgen, and Hitzenberger Ludwig, eds. Computer Talk. G. Olms, 1992.

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MacWhinney, Brian. Update to The CHILDES project: Tools for analyzing talk. L. Erlbaum, 1992.

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Gurikov, Sergey. Algorithmization and programming: preparation for the Unified State Exam in computer science. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1102077.

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The textbook discusses the basics of algorithmization and programming in Pascal, C++ and Python languages in relation to the tasks of the Unified State Exam (USE) in the discipline "Computer Science and ICT". The levels directly related to the test of the subject's mastery of algorithmic thinking skills, knowledge of the basic constructs of a high-level programming language, and the formation of program development skills in a programming environment are considered. The action of linear, branching and cyclic structures is described; attention is paid to programming based on functions and proce
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Bach, Carlo. An interactive knowledge-based shell for configuration tasks. Hartung-Gorre, 1994.

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Dellegrotto, John. Computerizing administrative tasks in schools. American Speech-Language-Hearing Association, 1991.

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Processing perspectives on task performance. John Benjamins Publishing Company, 2014.

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Klose, Gudrun. Task oriented modeling for natural language processing systems. 1993.

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Auditory monitoring: On the processing of task-irrelevant ignored spoken language and non-language sounds. Leipziger Universitätsverlag, 2007.

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Book chapters on the topic "Language processing task"

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Zhang, Haiou, Hanjun Zhao, Chunhua Liu, and Dong Yu. "Task-to-Task Transfer Learning with Parameter-Efficient Adapter." In Natural Language Processing and Chinese Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60457-8_32.

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Skehan, Peter, and Sabrina Shum. "Chapter 7. Structure and processing condition in video-based narrative retelling." In Task-Based Language Teaching. John Benjamins Publishing Company, 2014. http://dx.doi.org/10.1075/tblt.5.07ske.

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Skehan, Peter. "Chapter 1. The context for researching a processing perspective on task performance." In Task-Based Language Teaching. John Benjamins Publishing Company, 2014. http://dx.doi.org/10.1075/tblt.5.01ske.

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Abrams, Zsuzsanna. "Chapter 5. Examining the role of peer collaborative feedback processing and task repetition in task-based L2 writing." In Language Learning & Language Teaching. John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/lllt.59.05abr.

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Grounded in research on task-based and collaborative L2 writing, this quasi-experimental study examined the impact of collaborative processing of instructor feedback during the revision process. Forty-six intermediate learners of German in two intact classes at a U.S. university completed two written summary tasks, producing a draft and a revision for each, following feedback from the instructor in-between. The two groups processed this feedback individually and collaboratively, in a counterbalanced design. All texts were analyzed for syntactic complexity, accuracy, fluency, and lexical sophis
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Zhong, Lucen, Hengtong Lu, Caixia Yuan, et al. "A Task-Oriented Dialog Model with Task-Progressive and Policy-Aware Pre-training." In Natural Language Processing and Chinese Computing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-44693-1_1.

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Horiba, Yukie, and Keiko Fukaya. "Chapter 5. Effects of task instructions on text processing and learning in a Japanese EFL college nursing setting." In Task-Based Language Teaching. John Benjamins Publishing Company, 2012. http://dx.doi.org/10.1075/tblt.4.08hor.

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Filipe, Porfírio, and Nuno Mamede. "A Task Repository for Ambient Intelligence." In Natural Language Processing and Information Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11765448_7.

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Lin, Yankai, Ning Ding, Zhiyuan Liu, and Maosong Sun. "Pre-trained Models for Representation Learning." In Representation Learning for Natural Language Processing. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1600-9_5.

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AbstractPre-training-fine-tuning has recently become a new paradigm in natural language processing, learning better representations of words, sentences, and documents in a self-supervised manner. Pre-trained models not only unify semantic representations of multiple tasks, multiple languages, and multiple modalities but also emerge high-level capabilities approaching human beings. In this chapter, we introduce pre-trained models for representation learning, from pre-training tasks to adaptation approaches for specific tasks. After that, we discuss several advanced topics toward better pre-trai
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Zhao, Xuemin, and Yunbo Cao. "Overview of the NLPCC 2018 Shared Task: Spoken Language Understanding in Task-Oriented Dialog Systems." In Natural Language Processing and Chinese Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99501-4_46.

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Lenzing, Anke. "How a processability perspective frames the potential of tasks in instructed second language acquisition." In Task-Based Language Teaching. John Benjamins Publishing Company, 2025. https://doi.org/10.1075/tblt.17.10len.

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Abstract Processability Theory (PT) focuses on the nature of second language (L2) learners’ processing capacities to clarify the obstacles, achievements, and (some) systematic aspects of variation in L2 learning. In this chapter, I show that a processability perspective on tasks can contribute to our understanding of how both the universal and individual features of L2 development can be recognised in learners’ speech. I investigate speech samples of different learners completing the same task at different points in their language development and explore: (1) their use of different linguistic
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Conference papers on the topic "Language processing task"

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Ravaut, Mathieu, Hao Zhang, Lu Xu, Aixin Sun, and Yong Liu. "Parameter-Efficient Conversational Recommender System as a Language Processing Task." In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. https://doi.org/10.18653/v1/2024.eacl-long.9.

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Rajan, Khalid, and Royal Sequiera. "LegalLens 2024 Shared Task: Masala-chai Submission." In Proceedings of the Natural Legal Language Processing Workshop 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.nllp-1.30.

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Song, Ran, Shizhu He, Shuting Jiang, et al. "Does Large Language Model Contain Task-Specific Neurons?" In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.403.

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Satapara, Shrey, and P. K. Srijith. "TL-CL: Task And Language Incremental Continual Learning." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.676.

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Fang, Liri, Yuncong Chen, Wenchao Yu, et al. "TSLA: A Multi-Task Time Series Language Model." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10888390.

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Zaghouani, Wajdi, Mustafa Jarrar, Nizar Habash, et al. "The FIGNEWS Shared Task on News Media Narratives." In Proceedings of The Second Arabic Natural Language Processing Conference. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.arabicnlp-1.56.

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Parekh, Amit, Nikolas Vitsakis, Alessandro Suglia, and Ioannis Konstas. "Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.1080.

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McCurdy, Kate, and Michael Hahn. "Lossy Context Surprisal Predicts Task-Dependent Patterns in Relative Clause Processing." In Proceedings of the 28th Conference on Computational Natural Language Learning. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.conll-1.4.

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Alturayeif, Nora, Hamzah Luqman, Zaid Alyafeai, and Asma Yamani. "StanceEval 2024: The First Arabic Stance Detection Shared Task." In Proceedings of The Second Arabic Natural Language Processing Conference. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.arabicnlp-1.88.

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Nwesri, Abdusalam, Mai Elbaabaa, Fatima Lashihar, and Fatma Alalos. "Uot1 at FIGNEWS 2024 Shared Task: Labeling News Bias." In Proceedings of The Second Arabic Natural Language Processing Conference. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.arabicnlp-1.60.

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Reports on the topic "Language processing task"

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Chew, Robert F., Kirsty J. Weitzel, Peter Baumgartner, et al. Improving Text Classification with Boolean Retrieval for Rare Categories: A Case Study Identifying Firearm Violence Conversations in the Crisis Text Line Database. RTI Press, 2023. http://dx.doi.org/10.3768/rtipress.2023.mr.0050.2304.

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Advancements in machine learning and natural language processing have made text classification increasingly attractive for information retrieval. However, developing text classifiers is challenging when no prior labeled data are available for a rare category of interest. Finding instances of the rare class using a uniform random sample can be inefficient and costly due to the rare category’s low base rate. This work presents an approach that combines the strengths of text classification and Boolean retrieval to help learn rare concepts of interest. As a motivating example, we use the task of f
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Zelenskyi, Arkadii A. Relevance of research of programs for semantic analysis of texts and review of methods of their realization. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2884.

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One of the main tasks of applied linguistics is the solution of the problem of high-quality automated processing of natural language. The most popular methods for processing natural-language text responses for the purpose of extraction and representation of semantics should be systems that are based on the efficient combination of linguistic analysis technologies and analysis methods. Among the existing methods for analyzing text data, a valid method is used by the method using a vector model. Another effective and relevant means of extracting semantics from the text and its representation is
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Mbani, Benson, Timm Schoening, and Jens Greinert. Automated and Integrated Seafloor Classification Workflow (AI-SCW). GEOMAR, 2023. http://dx.doi.org/10.3289/sw_2_2023.

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The Automated and Integrated Seafloor Classification Workflow (AI-SCW) is a semi-automated underwater image processing pipeline that has been customized for use in classifying the seafloor into semantic habitat categories. The current implementation has been tested against a sequence of underwater images collected by the Ocean Floor Observation System (OFOS), in the Clarion-Clipperton Zone of the Pacific Ocean. Despite this, the workflow could also be applied to images acquired by other platforms such as an Autonomous Underwater Vehicle (AUV), or Remotely Operated Vehicle (ROV). The modules in
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