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Improving Information Extraction from Wikipedia Texts using Basic English.

, , , and . LREC, European Language Resources Association (ELRA), (2016)

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Enriched Semantic Graphs for Extractive Text Summarization., , and . CAEPIA, volume 9868 of Lecture Notes in Computer Science, page 217-226. Springer, (2016)User-centred versus system-centred evaluation of a personalization system., , and . Inf. Process. Manag., 44 (3): 1293-1307 (2008)Resolving ambiguity in biomedical text to improve summarization, , and . Information Processing & Management, 48 (4): 755 - 766 (2012)Inferring the Scope of Negation and Speculation Via Dependency Analysis., , , , and . Proces. del Leng. Natural, (2011)A semantic graph-based approach to biomedical summarisation., , and . Artif. Intell. Medicine, 53 (1): 1-14 (2011)NIL_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels., and . SemEval@NAACL-HLT, page 644-650. The Association for Computer Linguistics, (2013)Adapting a Generic Platform for Poetry Generation to Produce Spanish Poems., , , and . ICCC, page 63-71. computationalcreativity.net, (2014)Evaluation of a System for Personalized Summarization of Web Contents., , and . User Modeling, volume 3538 of Lecture Notes in Computer Science, page 453-462. Springer, (2005)Automatic extraction of ranked SNP-phenotype associations from text using a BERT-LSTM-based method., , and . BMC Bioinform., 24 (1): 144 (December 2023)Development and Use of an Evaluation Collection for Personalisation of Digital Newspapers., , , and . LREC, European Language Resources Association, (2010)