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Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents
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In: Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II ; https://hal.archives-ouvertes.fr/hal-03635971 ; Matthias Hagen; Suzan Verberne; Craig Macdonald; Christin Seifert; Krisztian Balog; Kjetil Nørvåg; Vinay Setty. Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II, 13186, Springer International Publishing, pp.347-354, 2022, Lecture Notes in Computer Science, 978-3-030-99738-0. ⟨10.1007/978-3-030-99739-7_44⟩ (2022)
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Comparative Study of Multiclass Text Classification in Research Proposals Using Pretrained Language Models
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4522 (2022)
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МЕХАНИЗМЫ МЫШЛЕНИЯ И ИХ ФУНКЦИОНИРОВАНИЕ В ПРОЦЕССЕ ПЕРЕВОДЧЕСКОЙ ДЕЯТЕЛЬНОСТИ ... : MECHANISMS OF THINKING AND THEIR FUNCTIONING IN THE PROCESS OF TRANSLATION ACTIVITY ...
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From General Language Understanding to Noisy Text Comprehension
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In: Applied Sciences ; Volume 11 ; Issue 17 (2021)
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NTeALan Dictionaries Platforms: An Example Of Collaboration-Based Model
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In: Proceedings of the 1st International Workshop on Language Technology Platforms (IWLTP 2020) ; https://hal.archives-ouvertes.fr/hal-02701912 ; Proceedings of the 1st International Workshop on Language Technology Platforms (IWLTP 2020), 2020, pp.11 - 16 (2020)
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LSCP: Enhanced Large Scale Colloquial Persian Language Understanding
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In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02628956 ; 12th Language Resources and Evaluation Conference, European Language Resources Association, May 2020, Marseille, France. pp.6323-6327 ; https://www.aclweb.org/anthology/2020.lrec-1.776/ (2020)
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The importance of fillers for text representations of speech transcripts
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In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ; https://hal.archives-ouvertes.fr/hal-03134854 ; Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics, Nov 2020, Online, Dominican Republic. pp.7985-7993, ⟨10.18653/v1/2020.emnlp-main.641⟩ (2020)
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NTeALan Dictionaries Platforms: An Example Of Collaboration-Based Model
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In: Proceedings of the 1st International Workshop on Language Technology Platforms (IWLTP 2020) ; https://hal.archives-ouvertes.fr/hal-02701912 ; Proceedings of the 1st International Workshop on Language Technology Platforms (IWLTP 2020), 2020, pp.11 - 16 (2020)
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Script acquisition : a crowdsourcing and text mining approach
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StoryMiner: An Automated and Scalable Framework for Story Analysis and Detection from Social Media
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Proposition-based summarization with a coherence-driven incremental model ...
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Fang, Yimai. - : Apollo - University of Cambridge Repository, 2019
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Towards information extraction from ISR reports for decision support using a two-stage learning-based approach
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In: Fraunhofer IOSB (2019)
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Culture of Understanding and Analysis of Media Texts of Popular Medical Edition ; Культура сприймання та аналізу медіатекстів популярних видань медичної тематики
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In: Technology and Technique of Typography (Tekhnolohiia i Tekhnika Drukarstva); No. 1(63) (2019): Technology and Technique of Typography; 80–88 ; Технологія і техніка друкарства; № 1(63) (2019): Технологія і техніка друкарства; 80–88 ; 2414-9977 ; 2077-7264 (2019)
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The Effect of Data Quantity on Dialog System Input Classification Models ; Datamängdens effekt på modeller för avsiktsklassificering i chattkonversationer
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Proposition-based summarization with a coherence-driven incremental model
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Fang, Yimai. - : University of Cambridge, 2018. : Computer Science and Technology, 2018. : Hughes Hall, 2018
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Abstract:
Summarization models which operate on meaning representations of documents have been neglected in the past, although they are a very promising and interesting class of methods for summarization and text understanding. In this thesis, I present one such summarizer, which uses the proposition as its meaning representation. My summarizer is an implementation of Kintsch and van Dijk's model of comprehension, which uses a tree of propositions to represent the working memory. The input document is processed incrementally in iterations. In each iteration, new propositions are connected to the tree under the principle of local coherence, and then a forgetting mechanism is applied so that only a few important propositions are retained in the tree for the next iteration. A summary can be generated using the propositions which are frequently retained. Originally, this model was only played through by hand by its inventors using human-created propositions. In this work, I turned it into a fully automatic model using current NLP technologies. First, I create propositions by obtaining and then transforming a syntactic parse. Second, I have devised algorithms to numerically evaluate alternative ways of adding a new proposition, as well as to predict necessary changes in the tree. Third, I compared different methods of modelling local coherence, including coreference resolution, distributional similarity, and lexical chains. In the first group of experiments, my summarizer realizes summary propositions by sentence extraction. These experiments show that my summarizer outperforms several state-of-the-art summarizers. The second group of experiments concerns abstractive generation from propositions, which is a collaborative project. I have investigated the option of compressing extracted sentences, but generation from propositions has been shown to provide better information packaging.
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Keyword:
abstractive summarisation; abstractive summarization; coherence; computational linguistics; document understanding; natural language processing; NLP; summarisation; summarization; text understanding
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URL: https://www.repository.cam.ac.uk/handle/1810/287468 https://doi.org/10.17863/CAM.34773
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INEX Tweet Contextualization Task: Evaluation, Results and Lesson Learned
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In: ISSN: 0306-4573 ; Information Processing and Management ; https://hal-amu.archives-ouvertes.fr/hal-01479297 ; Information Processing and Management, Elsevier, 2016, 52 (5), pp.801-819. ⟨10.1016/j.ipm.2016.03.002⟩ (2016)
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ПСИХОЛИНГВИСТИЧЕСКИЙ АСПЕКТ ПОНИМАНИЯ МУЗЫКАЛЬНОГО СТИЛЯ
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НИКОЛАЕВА АННА ИВАНОВНА. - : Федеральное государственное бюджетное образовательное учреждение высшего образования «Московский педагогический государственный университет», 2016
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ПСИХОЛИНГВИСТИЧЕСКИЕ АСПЕКТЫ ПРОЦЕССА ЧТЕНИЯ КАК ВИДА РЕЧЕВОЙ ДЕЯТЕЛЬНОСТИ
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Становление текстовой компетенции у обучающихся с общим недоразвитием речи (аспект понимания фактуальной информации текста): этапы и закономерности
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ГРИБОВА ОЛЬГА ЕВГЕНЬЕВНА. - : Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования «Уральский государственный педагогический университет», 2016
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