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LaSTUS/TALN @ CLSciSumm-17: Cross-document Sentence Matching and Scientific Text Summarization Systems.

, , , , and . BIRNDL@SIGIR (2), volume 2002 of CEUR Workshop Proceedings, page 55-66. CEUR-WS.org, (2017)

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LaSTUS-TALN at IberLEF 2019 eHealth-KD Challenge: Deep Learning Approaches to Information Extraction in Biomedical Texts., , and . IberLEF@SEPLN, volume 2421 of CEUR Workshop Proceedings, page 51-59. CEUR-WS.org, (2019)Discourse-Driven Argument Mining in Scientific Abstracts., and . NLDB, volume 11608 of Lecture Notes in Computer Science, page 182-194. Springer, (2019)Mining arguments in scientific abstracts: Application to argumentative quality assessment.. Pompeu Fabra University, Spain, (2021)Argumentation Mining in Scientific Literature: From Computational Linguistics to Biomedicine., , and . BIR@ECIR, volume 2847 of CEUR Workshop Proceedings, page 20-36. CEUR-WS.org, (2021)Multi-level mining and visualization of scientific text collections: Exploring a bi-lingual scientific repository., , , and . WOSP@JCDL, page 9-16. IEEE Computer Society, (2017)Cross-lingual semantic annotation of biomedical literature: experiments in Spanish and English., , , , , , and . Bioinform., 36 (6): 1872-1880 (2020)Transferring Knowledge from Discourse to Arguments: A Case Study with Scientific Abstracts., and . ArgMining@ACL, page 41-51. Association for Computational Linguistics, (2019)Assumption Grammars for Knowledge Based Systems., , , and . Informatica (Slovenia), (1998)Mining arguments in scientific abstracts with discourse-level embeddings., and . Data Knowl. Eng., (2020)Improving the accessibility of biomedical texts by semantic enrichment and definition expansion., and . Proces. del Leng. Natural, (2018)