Term extraction from sparse, ungrammatical domain-specific documents

Expert Systems with Applications

Volumn 40, Issue 7, 2013, Pages 2530-2540

  Ittoo, Ashwin ^a   Bouma, Gosse ^a,b  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

^b NONE   (Netherlands)

Author keywords

Business intelligence; Natural language processing; Product development customer service; Term extraction; Text mining

Indexed keywords

COMPETITIVE INTELLIGENCE; EXTRACTION; TEXT MINING;

COLLOCATION STRENGTH; CUSTOMER COMPLAINTS; CUSTOMER SERVICES; DOMAIN-SPECIFIC KNOWLEDGE; EXPERIMENTAL EVALUATION; NATURAL LANGUAGE PROCESSING; TERM EXTRACTION; WRITTEN DOCUMENTS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84873182947     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.10.067     Document Type: Article

References (47)

1. K. Ahmad, A. Davies, H. Fulford, and M. Rogers What is a term? The semi-automatic extraction of terms from text Translation Studies: An Interdiscipline 1994 267 278
2. M. Ashburner, C. Ball, J. Blake, D. Botstein, H. Butler, and J. Cherry Gene Ontology: Tool for the unification of biology Nature Genetics 25 1 2000
3. S. Aubin, and T. Hamon Improving Term Extraction with Terminological Resources T. Salakoski, Lecture Notes in Artificial Intelligence 2006 Springer-Verlag 380 387
4. A. Auger, and C. Barriere Probing Semantic Relations: Exploration and Identification in Specialized Texts 2010 John Benjamins Pub Co
5. Blohm, S., & Cimiano, P. (2007). Using the web to reduce data sparseness in pattern-based information extraction. Knowledge Discovery in Databases: PKDD.
6. R. Blumberg, and S. Atre The problem with unstructured data DM Review 13 2003 42 49
7. T. Chung A corpus comparison approach for terminology extraction Terminology 9 2 2003 221 246
8. K. Church, and P. Hanks Word association norms, mutual information, and lexicography Computational Linguistics 16 1 1990 22 29
9. J. Cohen A coefficient of agreement for nominal scales Educational and Psychological Measurement 20 1 1960 37 46
10. Dagan, I., & Church, K. (1994). Termight: Identifying and translating technical terminology. In Proceedings of the fourth conference on applied natural language processing.
11. Daille, B. (1994). Approche mixte pour l'extraction de terminologie: Statistique lexicale et filtres linguistiques. Universite Paris VII.
12. B. Daille, B. Habert, C. Jacquemin, and J. Royaut'e Empirical observation of term variations and principles for their description Terminology 3 2 1996 197 257
13. P. Drouin Term extraction using non-technical corpora as a point of leverage Terminology 9 1 2003 99 115
14. S. Evert, and B. Krenn Using small random samples for the manual evaluation of statistical association measures Computer Speech & Language 19 4 2005 450 466
15. C. Fellbaum WordNet: An electronic lexical database 1998 The MIT press
16. K. Frantzi, and S. Ananiadou The C-value/NC-value domain independent method for multi-word term extraction Journal of Natural Language Processing 6 3 1999 145 179
17. K. Frantzi, S. Ananiadou, and H. Mima Automatic recognition of multi-word terms: the C-value/NC-value method International Journal on Digital Libraries 3 2 2000 115 130
18. Guinaudeau, C., Gravier, G., & Sebillot, P. (2011). Enhancing lexical cohesion measure with confidence measures, semantic relations and language model interpolation for multimedia spoken content topic segmentation. Computer Speech & Language.
19. Hamp, B., & Feldweg, H. (1995). Germanet-a lexical-semantic net for german. In Proceedings of acl workshop automatic information extraction and building of lexical semantic resources for NLP applications.
20. K. Hiekata, H. Yamato, and S. Tsujimoto Ontology based knowledge extraction for shipyard fabrication workshop reports Expert Systems with Applications 37 11 2010 7380 7386
21. A. Hliaoutakis, K. Zervanou, and E. Petrakis The AMTEx approach in the medical document indexing and retrieval application Data & Knowledge Engineering 68 3 2009 380 392
22. Hoste, V., Vanopstal, K., & Lefever, E. (2007). The Automatic Detection of Scientific Terms in Patient Information. In Proceedings of RANLP.
23. J. Justeson, and S. Katz Technical terminology: Some linguistic properties and an algorithm for identification in text Natural Language Engineering 1 1 1995 9 27
24. K. Kageura, and B. Umino Methods of automatic term recognition: A review Terminology 3 2 1996 259 289
25. Lapata, M., & Lascarides, A. (2003). Detecting novel compounds: The role of distributional evidence. In Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics.
26. M. Marcus, M. Marcinkiewicz, and B. Santorini Building a large annotated corpus of English: The Penn Treebank Computational Linguistics 19 2 1993 313 330
27. Maynard, D., & Ananiadou, S. (2000). Identifying terms by their family and friends. In Proceedings of the 18th conference on computational linguistics.
28. O. Medelyan, D. Milne, C. Legg, and I. Witten Mining meaning from Wikipedia International Journal of Human-Computer Studies 67 9 2009 716 754
29. Milios, E., Zhang, Y., He, B., & Dong, L. (2003). Automatic term extraction and document similarity in special text corpora. In Proceedings of the sixth conference of the pacific association for computational linguistics.
30. Nakagawa, H., & Mori, T. (1998). Nested collocation and compound noun for term recognition. In Proceedings of the first workshop on computational terminology COMPUTERM (pp. 64-70).
31. M. Pazienza, M. Pennacchiotti, and F. Zanzotto Terminology extraction: An analysis of linguistic and statistical approaches Knowledge Mining 2005 255 279
32. Pecina, P., & Schlesinger, P. (2006). Combining association measures for collocation extraction. In Proceedings of the COLING/ACL on Main conference poster sessions.
33. S. Petrovic, J. Snajder, and B. Basic Extending lexical association measures for collocation extraction Computer Speech & Language 24 2 2010 383 394
34. S. Piao, P. Rayson, D. Archer, and T. McEnery Comparing and combining a semantic tagger and a statistical tool for MWE extraction Computer Speech & Language 19 4 2005 378 397
35. Rayson, P., & Garside, R. (2000). Comparing corpora using frequency profiling. In Proceedings of the workshop on comparing corpora, Association for Computational Linguistics.
36. M. Romero, A. Moreo, J. Castro, and J. Zurita Using Wikipedia concepts and frequency in language to extract key terms from support documents Expert Systems with Applications 39 18 2012
37. Russom, P. (2007). BI search and text analytics: TDWI Best Practices Report.
38. J. Sager In search of a foundation: Towards a theory of the term Terminology 5 1 1998 41 57
39. G. Salton Developments in automatic text retrieval Science 253 5023 1991 974
40. Toutanova, K., Klein, D., Manning, C., & Singer, Y. (2003). Feature-rich part-of-speech tagging with a cyclic dependency network. In Proceedings of the 2003 conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology (Vol. 1).
41. K. Uchimoto, S. Sekine, M. Murata, H. Ozaku, and H. Isahara Term recognition using corpora from different fields Terminology 6 2 2001 233 256
42. C. van Rijsbergen Information Retrieval 1979 Butterworths London
43. J. Vivaldi, and H. Rodriguez Improving term extraction by combining different techniques Terminology 7 1 2001 31 48
44. S. Wright, and G. Budin Handbook of terminology management: Basic aspects of terminology management 1997 John Benjamins Pub Co
45. F. Xu, D. Kurz, J. Piskorski, and S. Schmeier Term extraction and mining of term relations from unrestricted texts in the financial domain Business Information Systems 2002 Springer
46. Zhang, Z., Iria, J., Brewster, C., & Ciravegna, F. (2008). A comparative evaluation of term recognition algorithms. In Proceedings of the sixth international conference of language resources and evaluation (LREC 2008).
47. W. Zhang, T. Yoshida, and X. Tang Using ontology to improve precision of terminology extraction from documents Expert Systems with Applications 36 5 2009 9333 9339