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RCorp: a resource for chemical disease semantic extraction in Chinese
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PolyUCOMP: Combining Semantic Vectors with Skip-bigrams for Semantic Textual Similarity
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In: http://aclweb.org/anthology//S/S12/S12-1075.pdf (2012)
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Computational Linguistics Proceedings of the 6th Workshop on Ontologies and Lexical Resources
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In: http://aclweb.org/anthology-new/W/W10/W10-33.pdf (2010)
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Exploiting the role of position feature in chinese relation extraction
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In: http://www.lrec-conf.org/proceedings/lrec2008/pdf/540_paper.pdf (2008)
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The design and construction of a Chinese collocation bank
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In: http://www.cs.brandeis.edu/~marc/misc/proceedings/lrec-2006/pdf/799_pdf.pdf (2006)
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BASE
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Similarity Based Chinese Synonym Collocation Extraction
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In: http://www.aclclp.org.tw/clclp/v10n1/v10n1a6.pdf (2005)
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BASE
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Extractive Summarization using Inter- and Intra- Event Relevance
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In: http://www.aclweb.org/anthology-new/P/P06/P06-1047.pdf
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BASE
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Chinese Term Extraction Based on Delimiters
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In: http://www.lrec-conf.org/proceedings/lrec2008/pdf/72_paper.pdf
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BASE
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Interaction between Lexical Base and Ontology with Formal Concept Analysis
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In: http://www.cs.brandeis.edu/~marc/misc/proceedings/lrec-2006/pdf/796_pdf.pdf
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© The Association for Computational Linguistics and Chinese Language Processing The Design and Construction of the
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In: http://www.aclclp.org.tw/clclp/v10n3/v10n3a6.pdf
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AN AUTOMATIC CHINESE COLLOCATION EXTRACTION ALGORITHM BASED ON LEXICAL STATISTICS ABSTRACT
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In: http://www.icl.pku.edu.cn/webdata_http-dir-listable/proceedings/nl-pke2003/pdf/a14-02.pdf
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Using Synonym Relations In Chinese Collocation Extraction
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In: http://acl.ldc.upenn.edu/w/w04/w04-1113.pdf
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Abstract:
A challenging task in Chinese collocation extraction is to improve both the precision and recall rate. Most lexical statistical methods including Xtract face the problem of unable to extract collocations with lower frequencies than a given threshold. This paper presents a method where HowNet is used to find synonyms using a similarity function. Based on such synonym information, we have successfully extracted synonymous collocations which normally cannot be extracted using the lexical statistical approach. We applied synonyms mapping to each headword to extract more synonymous word bi-grams. Our evaluation over 60MB tagged corpus shows that we can extract synonymous collocations that occur with very low frequency, sometimes even for collocations that occur only once in the training set. Comparing to a collocation extraction system based on Xtract, we have reached the precision rate of 43 % on word bi-grams for a set of 9 headwords, almost 50 % improvement from precision rate of 30 % in the Xtract system. Furthermore, it improves the recall rate of word bi-gram collocation extraction by 30%. 1
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URL: http://acl.ldc.upenn.edu/w/w04/w04-1113.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.7873
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A Hybrid Extraction Model for Chinese Noun/Verb Synonym bi-gram
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In: http://www.aclweb.org/anthology/Y11-1045/
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!135 Taking Antonymy Mask off in Vector Space
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In: http://www.aclweb.org/anthology/Y/Y14/Y14-1018.pdf
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A Cluster-Sensitive Graph Model for Query-Oriented Multi-document Summarization
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In: http://www.cs.fiu.edu/%7Elli003/Sum/ECIR/2008/1.pdf
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Query-Sensitive Mutual Reinforcement Chain and Its Application in Query-Oriented Multi-Document Summarization
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In: http://www.cs.fiu.edu/%7Elli003/Sum/SIGIR/2008/4.pdf
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du. hk
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In: http://www.aclweb.org/anthology-new/C/C08/C08-1130.pdf
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A Grammar-informed Corpus-based Sentence Database for Linguistic and Computational Studies
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/401_Paper.pdf
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The 6th Workshop on Asian Languae Resources, 2008 Preliminary Chinese Term Classification for Ontology Construction
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In: http://aclweb.org/anthology/I/I08/I08-7003.pdf
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