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sem 2013 shared task: Semantic textual similarity, including a pilot on typed-similarity
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In: http://www.aclweb.org/anthology/S/S13/S13-1004.pdf (2013)
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Coleur and colslm: A wsd approach to multilingual lexical substitution, tasks 2 and 3 semeval 2010
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In: http://aclweb.org/anthology/S/S10/S10-1026.pdf (2010)
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Combining orthogonal monolingual and multilingual sources of evidence for all words WSD
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In: http://www.cs.columbia.edu/nlp/papers/2010/P10-1156.pdf (2010)
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Arabic named entity recognition using optimized feature sets
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In: http://www.aclweb.org/anthology-new/D/D08/D08-1030.pdf (2008)
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Specific Features to Enhance Arabic Named Entity Recognition
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Semantic Role Labeling Systems for Arabic using Kernel Methods."Proceedings of ACL-08: HLT
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In: http://disi.unitn.it/moschitti/articles/ACL2008.pdf (2008)
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A pilot Arabic PropBank
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In: http://papers.ldc.upenn.edu/LREC2008/Pilot_Arabic_Propbank.pdf (2008)
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workshop on Graph-based Algorithms for Natural Language Processing Workshop chairs:
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In: http://www.aclweb.org/anthology-new/W/W08/W08-20.pdf (2008)
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Semi-Automatic Error Analysis for Large-Scale Statistical Machine Translation Systems
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In: http://www.mt-archive.info/MTS-2007-Kirchhoff.pdf (2007)
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Developing and Using a Pilot Dialectal Arabic Treebank
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In: http://papers.ldc.upenn.edu/LREC2006/PilotDialectalArabicTreebank.pdf (2006)
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Parsing arabic dialects
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In: http://acl.ldc.upenn.edu/eacl2006/main/papers/26_1_chiangetal_218.pdf (2005)
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Parsing arabic dialects
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In: http://www.umiacs.umd.edu/~dchiang/papers/CDHRS-eacl06.pdf (2005)
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Automatic tagging of Arabic text: from raw text to base phrase chunks
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In: http://www.stanford.edu/~jurafsky/ArabicChunk.pdf (2004)
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An Unsupervised Method for Word Sense Tagging using Parallel Corpora
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In: http://acl.ldc.upenn.edu/P/P02/P02-1033.pdf (2002)
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An Unsupervised Method for Word Sense Tagging using Parallel Corpora
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In: http://www.umiacs.umd.edu/~resnik/pubs/acl02mona.ps (2002)
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Abstract:
We present an unsupervised method for word sense disambiguation that exploits translation correspondences in parallel corpora. The technique takes advantage of the fact that crosslanguage lexicalizations of the same concept tend to be consistent, preserving some core element of its semantics, and yet also variable, reflecting differing translator preferences and the influence of context. Working with parallel corpora introduces an extra complication for evaluation, since it is difficult to find a corpus that is both sense tagged and parallel with another language; therefore we use pseudotranslations, created by machine translation systems, in order to make possible the evaluation of the approach against a standard test set. The results demonstrate that word-level translation correspondences are a valuable source of information for sense disambiguation.
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URL: http://www.umiacs.umd.edu/~resnik/pubs/acl02mona.ps http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.9928
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A Statistical Word-Level Translation Model for Comparable Corpora
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In: ftp://ftp.cs.umd.edu/pub/papers/papers/ncstrl.umcp/CS-TR-4150/CS-TR-4150.ps.Z (2000)
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Measuring Verb Similarity
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In: http://lamp.cfar.umd.edu/Media/Publications/Papers/LAMP_047/LAMP_047.ps (2000)
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Measuring Verb Similarity
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In: http://www.ircs.upenn.edu/cogsci2000/PRCDNGS/SPRCDNGS/PAPERS/RES-DIA.PDF (2000)
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A Statistical Word-Level Translation Model for Comparable Corpora
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In: http://www.umiacs.umd.edu/lamp/pubs/TechReports/LAMP_048/LAMP_048.pdf (2000)
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A Statistical Word-Level Translation Model for Comparable Corpora
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In: http://133.23.229.11/~ysuzuki/Proceedingsall/RIAO2000/Friday/124DP2.ps (2000)
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