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Homograph Disambiguation Through Selective Diacritic Restoration ...
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Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles ...
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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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A Pilot Study on Arabic Multi-Genre Corpus Diacritization Annotation ...
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A Pilot Study on Arabic Multi-Genre Corpus Diacritization Annotation ...
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Identifying effective translations for cross-lingual Arabic-to-English user-generated speech search
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In: Khwileh, Ahmad, Afli, Haithem orcid:0000-0002-7449-4707 , Jones, Gareth J.F. orcid:0000-0003-2923-8365 and Way, Andy orcid:0000-0001-5736-5930 (2017) Identifying effective translations for cross-lingual Arabic-to-English user-generated speech search. In: Third Arabic Natural Language Processing Workshop (WANLP), 3 Apr 2017, Valencia, Spain. (2017)
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SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Cross-lingual Focused Evaluation
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In: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017) ; The 11th International Workshop on Semantic Evaluation (SemEval-2017) ; https://hal.archives-ouvertes.fr/hal-01560674 ; The 11th International Workshop on Semantic Evaluation (SemEval-2017), Steven Bethard; Marine Carpuat; Marianna Apidianaki; Saif M. Mohammad; Daniel Cer; David Jurgens, Aug 2017, Vancouver, Canada. pp.1 - 14 (2017)
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SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation ...
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Abstract:
Semantic Textual Similarity (STS) measures the meaning similarity of sentences. Applications include machine translation (MT), summarization, generation, question answering (QA), short answer grading, semantic search, dialog and conversational systems. The STS shared task is a venue for assessing the current state-of-the-art. The 2017 task focuses on multilingual and cross-lingual pairs with one sub-track exploring MT quality estimation (MTQE) data. The task obtained strong participation from 31 teams, with 17 participating in all language tracks. We summarize performance and review a selection of well performing methods. Analysis highlights common errors, providing insight into the limitations of existing models. To support ongoing work on semantic representations, the STS Benchmark is introduced as a new shared training and evaluation set carefully selected from the corpus of English STS shared task data (2012-2017). ... : To appear in proceedings of the SemEval workshop at ACL 2017; 14 pages, 14 Tables, 1 Figure ...
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Keyword:
68T50; Computation and Language cs.CL; FOS Computer and information sciences; I.2.7
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URL: https://dx.doi.org/10.48550/arxiv.1708.00055 https://arxiv.org/abs/1708.00055
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Unsupervised Word Mapping Using Structural Similarities in Monolingual Embeddings ...
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Statistical modality tagging from rule-based annotations and crowdsourcing ...
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Conventional Orthography for Dialectal Arabic (CODA): Principles and Guidelines -- Egyptian Arabic - Version 0.7 - March 2012
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Conventional Orthography for Dialectal Arabic (CODA): Principles and Guidelines -- Egyptian Arabic - Version 0.7 - March 2012 ...
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LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual
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LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual ...
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LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual ...
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Semantic Textual Similarity (STS) 2013 Machine Translation ...
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