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Edition 1.2 of the PARSEME Shared Task on Semi-supervised Identification of Verbal Multiword Expressions
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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)
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Morpho-syntactically annotated corpora provided for the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2)
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Annotated corpora and tools of the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2)
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A Hybrid Approach to Dependency Parsing: Combining Rules and Morphology with Deep Learning ...
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Resources for Turkish Dependency Parsing: Introducing the BOUN Treebank and the BoAT Annotation Tool ...
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ERMI at PARSEME Shared Task 2020: Embedding-Rich Multiword Expression Identification ...
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Generating Word and Document Embeddings for Sentiment Analysis ...
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Edition 1.1 of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions
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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)
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Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.1)
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Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags ...
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Dictionary-Based Concept Mining: An Application for Turkish ...
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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" ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; I.2.7
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URL: https://arxiv.org/abs/1401.2663 https://dx.doi.org/10.48550/arxiv.1401.2663
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