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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 – 19 of 19 1 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 2 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 3 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Edition 1.2 of the PARSEME Shared Task on Semi-supervised Identification of Verbal Multiword Expressions Ramisch, Carlos; Savary, Agata; Guillaume, Bruno... In: Joint Workshop on Multiword Expressions and Electronic Lexicons (MWE-LEX 2020) ; https://hal.archives-ouvertes.fr/hal-03014927 ; Joint Workshop on Multiword Expressions and Electronic Lexicons (MWE-LEX 2020), 2020, Barcelona, Spain ; https://www.aclweb.org/anthology/volumes/2020.mwe-1/ (2020) BASE Show details 5 Morpho-syntactically annotated corpora provided for the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2) Guillaume, Bruno; Ramisch, Carlos; Waszczuk, Jakub. - : PARSEME, 2020 BASE Show details 6 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 7 Annotated corpora and tools of the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2) Ramisch, Carlos; Guillaume, Bruno; Savary, Agata. - : PARSEME, 2020 BASE Show details 8 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 9 A Hybrid Approach to Dependency Parsing: Combining Rules and Morphology with Deep Learning ... Özateş, Şaziye Betül; Özgür, Arzucan; Güngör, Tunga. - : arXiv, 2020 BASE Show details 10 Resources for Turkish Dependency Parsing: Introducing the BOUN Treebank and the BoAT Annotation Tool ... Türk, Utku; Atmaca, Furkan; Özateş, Şaziye Betül. - : arXiv, 2020 BASE Show details 11 ERMI at PARSEME Shared Task 2020: Embedding-Rich Multiword Expression Identification ... The 28th International Conference on Computational Linguistics 2020; Güngör, Tunga; Yirmibesoglu, Zeynep. - : Underline Science Inc., 2020 BASE Show details 12 Generating Word and Document Embeddings for Sentiment Analysis ... Aydın, Cem Rıfkı; Güngör, Tunga; Erkan, Ali. - : arXiv, 2020 BASE Show details 13 Edition 1.1 of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions Ramisch, Carlos; Cordeiro, Silvio; Savary, Agata... In: Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018) ; https://hal.archives-ouvertes.fr/hal-01865575 ; Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018), Aug 2018, Santa Fe, United States. pp.222 - 240 (2018) BASE Show details 14 Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.1) Ramisch, Carlos; Cordeiro, Silvio Ricardo; Savary, Agata. - : PARSEME, 2018 BASE Show details 15 Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags ... Güngör, Onur; Üsküdarlı, Suzan; Güngör, Tunga. - : arXiv, 2018 BASE Show details 16 Dictionary-Based Concept Mining: An Application for Turkish ... Aydın, Cem Rıfkı; Erkan, Ali; Güngör, Tunga; Takçı, Hidayet. - : arXiv, 2014 Abstract: In this study, a dictionary-based method is used to extract expressive concepts from documents. So far, there have been many studies concerning concept mining in English, but this area of study for Turkish, an agglutinative language, is still immature. We used dictionary instead of WordNet, a lexical database grouping words into synsets that is widely used for concept extraction. The dictionaries are rarely used in the domain of concept mining, but taking into account that dictionary entries have synonyms, hypernyms, hyponyms and other relationships in their meaning texts, the success rate has been high for determining concepts. This concept extraction method is implemented on documents, that are collected from different corpora. ... : 12 pages with 3 figures, to be published in "International Conference on Foundations of Computer Science & Technology (CST 2014), Zurich, Switzerland - January 2014 Proceedings, AIRCC" ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; I.2.7 URL: https://arxiv.org/abs/1401.2663 https://dx.doi.org/10.48550/arxiv.1401.2663 BASE Hide details 17 Part-of-speech tagging Güngör, Tunga In: Handbook of natural language processing (Boca Raton, Fla., 2010), p. 205-236 MPI für Psycholinguistik Show details 18 Natural language watermarking via morphosyntactic alterations Meral, Hasan Mesut; Sankur, Bülent; Sumru Özsoy, A.... In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 23 (2009) 1, 107-125 OLC Linguistik Show details 19 Natural language watermarking via morphosyntactic alterations Sankur, Bülent; Meral, Hasan Mesut; Sevinç, Emre... In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 23 (2009) 1, 107-125 BLLDB OLC Linguistik Show details

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