A Spatial Approach to Perception Identification in Editorials Enhanced with Anaphora Resolution

被引：0

作者：

Supraja, J. ^{[1
]}

机构：

[1] Sri Venkateswara Coll Engn, Dept Comp Sci & Engn, Sriperumbudur 602105, Tamil Nadu, India

来源：

2009 WORLD CONGRESS ON NATURE & BIOLOGICALLY INSPIRED COMPUTING (NABIC 2009) | 2009年

关键词：

Perspective; Coreference; Normalized Google Distance; Vector space; Opinion;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A method is proposed to annotate editorials and news articles for sentences that most accurately represent the opinion of the speaker towards the issue. The speaker's point of view or level of discernment of the issue is whittled out. A list of informative and related keywords is extracted from the document based on their frequency of occurrence. Subsequently, pronominal anaphora is resolved at the document level based on minimum distance measures. Normalized Google Distance (NGD) is employed to resolve appositive instances. The Vector Space Model is then applied to the anaphora resolved document. Based on distance measures in high dimensional space, the cohesion between target word pairs is observed. Strongly cohesive word clusters qualify as opinion words. Results from a pilot collection of short opinion editorials and critical reviews from newspapers and manual annotation of perspective of up to 710 such sentences indicate an agreement of 76% in opinion annotation.

引用

页码：420 / 425

页数：6

共 31 条

[11]

Ge N., 1998, 6 WORKSH VER LARG CO, P161

[12] Representing word meaning and order information in a composite holographic lexicon [J].

Jones, Michael N. ;

Mewhort, Douglas J. K. .

PSYCHOLOGICAL REVIEW, 2007, 114 (01) :1-37

[13] A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge [J].

Landauer, TK ;

Dumais, ST .

PSYCHOLOGICAL REVIEW, 1997, 104 (02) :211-240

[14]

Lapata Mirella., 2005, ACM T SPEECH LANGUAG, V2, P3, DOI [10.1145/1075389.1075392, DOI 10.1145/1075389.1075392]

[15]

Lappin S., 1994, Computational Linguistics, V20, P535

[16]

Lin WH, 2006, COLING/ACL 2006, VOLS 1 AND 2, PROCEEDINGS OF THE CONFERENCE, P1057

[17]

Lowe W., 2001, P 23 ANN C COGN SCI, P576

[18] Producing high-dimensional semantic spaces from lexical co-occurrence [J].

Lund, K ;

Burgess, C .

BEHAVIOR RESEARCH METHODS INSTRUMENTS & COMPUTERS, 1996, 28 (02) :203-208

[19] Dependency-based construction of semantic space models [J].

Pado, Sebastian ;

Lapata, Mirella .

COMPUTATIONAL LINGUISTICS, 2007, 33 (02) :161-199

[20]

PUSTEJOVSKY J, 2002, 3 INT C LANG RES EV, P39

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