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1
RCorp: a resource for chemical disease semantic extraction in Chinese
Sun, Yueping; Hou, Li; Qin, Lu. - : BioMed Central, 2019
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2
PolyUCOMP: Combining Semantic Vectors with Skip-bigrams for Semantic Textual Similarity
In: http://aclweb.org/anthology//S/S12/S12-1075.pdf (2012)
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3
Computational Linguistics Proceedings of the 6th Workshop on Ontologies and Lexical Resources
In: http://aclweb.org/anthology-new/W/W10/W10-33.pdf (2010)
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4
Exploiting the role of position feature in chinese relation extraction
In: http://www.lrec-conf.org/proceedings/lrec2008/pdf/540_paper.pdf (2008)
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5
The design and construction of a Chinese collocation bank
In: http://www.cs.brandeis.edu/~marc/misc/proceedings/lrec-2006/pdf/799_pdf.pdf (2006)
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6
Similarity Based Chinese Synonym Collocation Extraction
In: http://www.aclclp.org.tw/clclp/v10n1/v10n1a6.pdf (2005)
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7
Text segmentation for Chinese spell checking
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8
Extractive Summarization using Inter- and Intra- Event Relevance
In: http://www.aclweb.org/anthology-new/P/P06/P06-1047.pdf
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9
Chinese Term Extraction Based on Delimiters
In: http://www.lrec-conf.org/proceedings/lrec2008/pdf/72_paper.pdf
Abstract: Existing techniques extract term candidates by looking for internal and contextual information associated with domain specific terms. The algorithms always face the dilemma that fewer features are not enough to distinguish terms from non-terms whereas more features lead to more conflicts among selected features. This paper presents a novel approach for term extraction based on delimiters which are much more stable and domain independent. The proposed approach is not as sensitive to term frequency as that of previous works. This approach has no strict limit or hard rules and thus they can deal with all kinds of terms. It also requires no prior domain knowledge and no additional training to adapt to new domains. Consequently, the proposed approach can be applied to different domains easily and it is especially useful for resource-limited domains. Evaluations conducted on two different domains for Chinese term extraction show significant improvements over existing techniques which verifies its efficiency and domain independent nature. Experiments on new term extraction indicate that the proposed approach can also serve as an effective tool for domain lexicon expansion. 1.
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.682.3054
http://www.lrec-conf.org/proceedings/lrec2008/pdf/72_paper.pdf
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10
Interaction between Lexical Base and Ontology with Formal Concept Analysis
In: http://www.cs.brandeis.edu/~marc/misc/proceedings/lrec-2006/pdf/796_pdf.pdf
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11
© The Association for Computational Linguistics and Chinese Language Processing The Design and Construction of the
In: http://www.aclclp.org.tw/clclp/v10n3/v10n3a6.pdf
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12
AN AUTOMATIC CHINESE COLLOCATION EXTRACTION ALGORITHM BASED ON LEXICAL STATISTICS ABSTRACT
In: http://www.icl.pku.edu.cn/webdata_http-dir-listable/proceedings/nl-pke2003/pdf/a14-02.pdf
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13
Using Synonym Relations In Chinese Collocation Extraction
In: http://acl.ldc.upenn.edu/w/w04/w04-1113.pdf
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14
A Hybrid Extraction Model for Chinese Noun/Verb Synonym bi-gram
In: http://www.aclweb.org/anthology/Y11-1045/
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15
!135 Taking Antonymy Mask off in Vector Space
In: http://www.aclweb.org/anthology/Y/Y14/Y14-1018.pdf
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16
A Cluster-Sensitive Graph Model for Query-Oriented Multi-document Summarization
In: http://www.cs.fiu.edu/%7Elli003/Sum/ECIR/2008/1.pdf
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17
Query-Sensitive Mutual Reinforcement Chain and Its Application in Query-Oriented Multi-Document Summarization
In: http://www.cs.fiu.edu/%7Elli003/Sum/SIGIR/2008/4.pdf
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18
du. hk
In: http://www.aclweb.org/anthology-new/C/C08/C08-1130.pdf
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19
A Grammar-informed Corpus-based Sentence Database for Linguistic and Computational Studies
In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/401_Paper.pdf
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20
The 6th Workshop on Asian Languae Resources, 2008 Preliminary Chinese Term Classification for Ontology Construction
In: http://aclweb.org/anthology/I/I08/I08-7003.pdf
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