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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 Page: 1 2 3 4 5 6 Hits 81 – 100 of 112 81 Post-specialisation: Retrofitting vectors of words unseen in lexical resources Mrkšić, Nikola; Glavaš, Goran; Korhonen, Anna. - : Association for Computational Linguistics, 2018 BASE Show details 82 Discriminating between lexico-semantic relations with the specialization tensor model Vulić, Ivan; Glavaš, Goran. - : Association for Computational Linguistics, 2018 BASE Show details 83 Adversarial propagation and zero-shot cross-lingual transfer of word vector specialization Ponti, Edoardo Maria; Vulić, Ivan; Glavaš, Goran. - : Association for Computational Linguistics, 2018 BASE Show details 84 Explicit retrofitting of distributional word vectors Glavaš, Goran; Vulić, Ivan. - : Association for Computational Linguistics, 2018 BASE Show details 85 A resource-light method for cross-lingual semantic textual similarity Glavas, Goran; Rosso, Paolo; Franco-Salvador, Marc. - : Elsevier, 2018 BASE Show details 86 Cross-lingual classification of topics in political texts Glavaš, Goran [Verfasser]; Nanni, Federico [Verfasser]; Ponzetto, Simone Paolo [Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2017 DNB Subject Category Language Show details 87 Improving neural knowledge base completion with cross-lingual projections Klein, Patrick [Verfasser]; Ponzetto, Simone Paolo [Verfasser]; Glavaš, Goran [Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2017 DNB Subject Category Language Show details 88 Dual tensor model for detecting asymmetric lexico-semantic relations Glavaš, Goran [Verfasser]; Ponzetto, Simone Paolo [Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2017 DNB Subject Category Language Show details 89 Unsupervised cross-lingual scaling of political texts Nanni, Federico; Ponzetto, Simone Paolo; Glavaš, Goran. - : Association for Computational Linguistics, 2017 BASE Show details 90 University of Mannheim @ CLSciSumm-17: Citation-Based Summarization of Scientific Articles Using Semantic Textual Similarity Eckert, Kai; Glavaš, Goran; Lauscher, Anne. - : RWTH, 2017 BASE Show details 91 Cross-lingual classification of topics in political texts Ponzetto, Simone Paolo; Nanni, Federico; Glavaš, Goran. - : Association for Computational Linguistics (ACL), 2017 BASE Show details 92 Improving neural knowledge base completion with cross-lingual projections Klein, Patrick; Glavaš, Goran; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2017 BASE Show details 93 Leveraging event-based semantics for automated text simplification Štajner, Sanja; Glavaš, Goran. - : Elsevier, 2017 Abstract: Automated Text Simplification (ATS) aims to transform complex texts into their simpler variants which are easier to understand to wider audiences and easier to process with natural language processing (NLP) tools. While simplification can be applied on lexical, syntactic, and discourse level, all previously proposed ATS systems only operated on the first two levels, thus failing at simplifying texts on the discourse level. We present a semantically-motivated ATS system which is the first system that is applied on the discourse level. By exploiting the state-of-the-art event extraction system, it is the first ATS system able to eliminate large portions of irrelevant information from texts, by maintaining only those parts of the original text that belong to factual event mentions. A few handcrafted rules ensure that the output of the system is syntactically simple, by placing each factual event mention in a separate short sentence, while the state-of-the-art unsupervised lexical simplification module, based on using word embeddings, replaces complex and infrequent words with their simpler variants. We perform a thorough evaluation, both automatic and manual, showing that our system produces more readable and simpler texts than the state-of-the-art ATS systems. Our newly proposed post-editing evaluation further reveals that our system requires less human effort for correcting grammaticality and meaning preservation on news articles than the state-of-the-art ATS system. Keyword: 004 Informatik URL: https://doi.org/10.1016/j.eswa.2017.04.005 https://madoc.bib.uni-mannheim.de/42829/ http://www.sciencedirect.com/science/article/pii/S0957417417302385 BASE Hide details 94 Two layers of annotation for representing event mentions in news stories Buono, Maria Pia di; Tutek, Martin; Šnajder, Jan. - : Association for Computational Linguistics, 2017 BASE Show details 95 If sentences could see: Investigating visual information for semantic textual similarity Glavaš, Goran; Vulić, Ivan; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2017 BASE Show details 96 Dual tensor model for detecting asymmetric lexico-semantic relations Glavaš, Goran; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2017 BASE Show details 97 Predicting news values from headline text and emotions Buono, Maria Pia di; Šnajder, Jan; Dalbelo Bašić, Bojana. - : Association for Computational Linguistics, 2017 BASE Show details 98 Unsupervised text segmentation using semantic relatedness graphs Glavaš, Goran; Nanni, Federico; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2016 BASE Show details 99 Spanish NER with word representations and conditional random fields Copara Zea, Jenny Linet; Ochoa Luna, José Eduardo; Thorne, Camilo. - : Association for Computational Linguistics, 2016 BASE Show details 100 Capturing interdisciplinarity in academic abstracts Nanni, Federico; Dietz, Laura; Faralli, Stefano. - : Corporation for National Research Initiatives, 2016 BASE Show details Page: 1 2 3 4 5 6

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