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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 YATS: Yet Another Text Simplifier Ferrés, Daniel; Marimon, Montserrat; Saggion, Horacio. - : Springer BASE Show details 2 Spanish morphological generation with wide-coverage lexicons and decision trees AbuRa'ed, Ahmed Ghassan Tawfiq; Saggion, Horacio; Ferrés, Daniel. - : Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN) BASE Show details 3 A select and rewrite approach to the generation of related work reports AbuRa'ed, Ahmed Ghassan Tawfiq; Saggion, Horacio. - : CEUR Workshop Proceedings BASE Show details 4 OlloBot - Towards a text-based Arabic health conversational agent: evaluation and results Fadhil, Ahmed; AbuRa'ed, Ahmed Ghassan Tawfiq. - : ACL (Association for Computational Linguistics) BASE Show details 5 TALN at SemEval-2016 Task 11: modelling complex words by contextual, lexical and semantic features Ronzano, Francesco; AbuRa'ed, Ahmed Ghassan Tawfiq; Saggion, Horacio. - : ACL (Association for Computational Linguistics) BASE Show details 6 What sentence are you referring to and why? Identifying cited sentences in scientific literature Chiruzzo, Luis; AbuRa'ed, Ahmed Ghassan Tawfiq; Saggion, Horacio. - : ACL (Association for Computational Linguistics) Abstract: Comunicació presentada a la International Conference Recent Advances in Natural Language Processing (RANLP 2017), celebrada els dies 2 a 8 de setembre de 2017 a Varna, Bulgària. ; In the current context of scientific information overload, text mining tools are of paramount importance for researchers who have to read scientific papers and assess their value. Current citation networks, which link papers by citation relationships (reference and citing paper), are useful to quantitatively understand the value of a piece of scientific work, however they are limited in that they do not provide information about what specific part of the reference paper the citing paper is referring to. This qualitative information is very important, for example, in the context of current community-based scientific summarization activities. In this paper, and relying on an annotated dataset of co-citation sentences, we carry out a number of experiments aimed at, given a citation sentence, automatically identify a part of a reference paper being cited. Additionally our algorithm predicts the specific reason why such reference sentence has been cited out of five possible reasons. ; This work is (partly) supported by the Spanish Ministry of Economy and Competitiveness under the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502) and by the TUNER project (TIN2015-65308-C5-5-R, MINECO/FEDER, UE). Keyword: Tractament del llenguatge natural (Informàtica) URL: https://doi.org/10.26615/978-954-452-049-6_002 http://hdl.handle.net/10230/34085 BASE Hide details 7 Trainable citation-enhanced summarization of scientific articles AbuRa'ed, Ahmed Ghassan Tawfiq; Ronzano, Francesco; Saggion, Horacio. - : CEUR Workshop Proceedings BASE Show details 8 LaSTUS/TALN @ CLSciSumm-17: cross-document sentence matching and scientific text summarization systems Saggion, Horacio; AbuRa'ed, Ahmed Ghassan Tawfiq; Chiruzzo, Luis. BASE Show details 9 LaSTUS/TALN at Complex Word Identification (CWI) 2018 Shared Task AbuRa'ed, Ahmed Ghassan Tawfiq; Saggion, Horacio. - : ACL (Association for Computational Linguistics) BASE Show details 10 LaSTUS/TALN+INCO @ CL-SciSumm 2018 - Using regression and convolutions for cross-document semantic linking and summarization of scholarly literature Bravo Serrano, Àlex, 1984-; Chiruzzo, Luis; Saggion, Horacio. - : CEUR Workshop Proceedings BASE Show details

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