Extracting Meronymy Relationships from Domain-Specific, Textual Corporate Databases

被引:0
作者
Ittoo, Ashwin [1 ]
Bouma, Gosse [1 ]
Maruster, Laura [1 ]
Wortmann, Hans [1 ]
机构
[1] Univ Groningen, NL-9747 AE Groningen, Netherlands
来源
NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS | 2010年 / 6177卷
关键词
Meronymy; part-whole relations; natural language processing;
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
Various techniques for learning meronymy relationships from open-domain corpora exist. However, extracting meronymy relationships from domain-specific, textual corporate databases has been overlooked, despite numerous application opportunities particularly in domains like product development and/or customer service. These domains also pose new scientific challenges, such as the absence of elaborate knowledge resources, compromising the performance of supervised meronymy-learning algorithms. Furthermore, the domain-specific terminology of corporate texts makes it difficult to select appropriate seeds for minimally-supervised meronymy-learning algorithms. To address these issues, we develop and present a principled approach to extract accurate meronymy relationships from textual databases of product development and/or customer service organizations by leveraging on reliable meronymy lexico-syntactic patterns harvested from an open-domain corpus. Evaluations on real-life corporate databases indicate that our technique extracts precise meronymy relationships that provide valuable operational insights on causes of product failures and customer dissatisfaction. Our results also reveal that the types of some of the domain-specific meronymy relationships, extracted from the corporate data, cannot be conclusively and unambiguously classified under well-known taxonomies of relationships.
引用
收藏
页码:48 / 59
页数:12
相关论文
共 14 条
[1]  
Berland M., 1999, P 37 ANN M ASS COMPU, P57, DOI DOI 10.3115/1034678.1034697
[2]  
GIRJU R, 2003, C NAACL HLT, P1
[3]   Automatic discovery of part-whole relations [J].
Girju, Roxana ;
Badulescu, Adriana ;
Moldovan, Dan .
COMPUTATIONAL LINGUISTICS, 2006, 32 (01) :83-135
[4]  
Iris M., 1988, Relations Models of the Lexicon, P261
[5]  
Ittoo A, 2010, LECT NOTES BUS INF P, V47, P71
[6]  
JIJKOUN V, 20 INT C COMP LING
[7]  
Justeson J. S., 1995, Natural Language Engineering, V1, P9, DOI [DOI 10.1017/S1351324900000048, 10.1017/S1351324900000048]
[8]   Representing and reasoning over a taxonomy of part-whole relations [J].
Keet, C. Maria ;
Artale, Alessandro .
APPLIED ONTOLOGY, 2008, 3 (1-2) :91-110
[9]   Mining meaning from Wikipedia [J].
Medelyan, Olena ;
Milne, David ;
Legg, Catherine ;
Witten, Ian H. .
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2009, 67 (09) :716-754
[10]  
Pantel P, 2006, COLING/ACL 2006, VOLS 1 AND 2, PROCEEDINGS OF THE CONFERENCE, P113