Lightly supervised acquisition of named entities and linguistic patterns for multilingual text mining

Knowledge and Information Systems

Volumn 35, Issue 1, 2013, Pages 87-109

  de Pablo Sánchez, César ^a   Segura Bedmar, Isabel ^a   Martínez, Paloma ^a   Iglesias Maqueda, Ana ^a  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

Author keywords

Bootstrapping algorithms; Information extraction; Multilingual natural language processing; Named entity recognition and categorization

Indexed keywords

INFORMATION RETRIEVAL; LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; TEXT MINING;

BOOTSTRAPPING ALGORITHM; DIFFERENT DOMAINS; LINGUISTIC PATTERNS; MULTILINGUAL TEXTS; NAMED ENTITY RECOGNITION; NATURAL LANGUAGE PROCESSING; QUESTION ANSWERING; SUPERVISED SYSTEMS;

CLASSIFICATION (OF INFORMATION);

EID: 84875467080     PISSN: 02191377     EISSN: 02193116     Source Type: Journal    
DOI: 10.1007/s10115-012-0502-0     Document Type: Article

References (34)

1. Agichtein E, Gravano L (2000) Snowball: extracting relations from large plain-text collections. In: Proceedings of the fifth ACM conference on digital libraries (DL '00), ACM Press, New York, pp 85-94.
2. Biggio S, Giuliano C, Poesio M, Versley Y, Uryupina O, Zanoli, R (2009) Local entity detection and recognition task. In: Proceedings of evaluation of NLP and speech tools for Italian (Evalita 2009), Rome, pp 1-8.
3. Bikel DM, Schwartz RM, Weischedel RM (1999) An algorithm that learns what's in a name. Mach Learn 34(1-3): 211-231.
4. Carreras X, Márquez L, Padró L (2002) Named entity extraction using adaboost. In: Proceedings of the 6th conference on natural language learning (CONLL-2002), Toulouse, pp 1-4.
5. Carreras X, Mààrquez L, Padró L (2003) Named entity recognition for catalan using spanish resources. In: Proceedings of the tenth conference on European chapter of the association for computational linguistics, Association for Computational Linguistics, Sapporo, pp 43-50.
6. Collins M, Singer Y (1999) Unsupervised models for named entity classification. In: Proceedings of empirical methods in natural language processing and very large corpora (EMNLP 99), New Brunswick, pp 189-196.
7. Cucerzan S, Yarowsky D (1999) Language independent named entity recognition combining morphological and contextual evidence. In: Proceedings of the joint SIGDAT conference on EMNLP and VLC 1999 joint SIGDAT conference on EMNLP and VLC, pp 90-99.
8. Li Y, Funk, A (2008) Developing language processing components with GATE version 5 (a user guide). University of Sheffield, Sheffield, last edited February.
9. Dorji T, Atlam E, Yata S, Fuketa M, Morita K, Aoe J-I (2011) Extraction, selection and ranking of field association (fa) terms from domain-specific corpora for building a comprehensive fa terms dictionary. Knowl Inf Syst 27: 141-161.
10. Etzioni O, Cafarella M, Downey D, Popescu AM, Shaked T, Soderland S, Weld DS, Yates A (2005) Unsupervised named-entity extraction from the web: an experimental study. Artif Intell 165(1): 91-134.
11. Florian R, Ittycheriah A, Jing H, Zhang T (2003) Named entity recognition through classifier combination. In: Proceedings of human language technology conference (HLT-NAACL '03), Edmonton, pp 168-171.
12. Harabagiu S, Strzalkowski T (2006) Advances in open domain question answering. Springerg, New York.
13. Hearst MA (1992) Automatic acquisition of hyponyms from large text corpora. In: Proceedings of the 14th conference on computational linguistics, Association for Computational Linguistics, Morristown, pp 539-545.
14. Ipeirotis PG, Agichtein E, Jain P, Gravano L (2006) To search or to crawl?: towards a query optimizer for text-centric tasks. In: Proceedings of international conference on management of data/principles of database systems (SIGMOD '06), New York, pp 265-276.
15. Kazama J, Torisawa K (2007) Exploiting wikipedia as external knowledge for named entity recognition. In: Proceedings of joint meeting of the conference on empirical methods on natural language processing (EMNLP) and the conference on natural language learning (CONLL), Prague, pp 698-707.
16. Liu L, Liang Q (2011) A high-performing comprehensive learning algorithm for text classification without pre-labeled training set. Knowl Inf Syst 29(3): 727-738.
17. Nadeau D, Turney P, Matwin S (2006) Unsupervised named-entity recognition: generating gazetteers and resolving ambiguity. In: Advances in artificial intelligence (LNCS), vol 401, pp 266-277.
18. Nadeau D, Sekine S (2007) A survey of named entity recognition and classification. Linguist Investig 30(1): 3-26.
19. NIST (2008) Automatic content extraction 2008 evaluation plan (ace 2008). Assessment of detection and recognition of entities and relations within and across documents, technical report, National Institute of Standards and Technology.
20. On BW, Lee I, Lee D (2011) Scalable clustering methods for the name disambiguation problem. Knowle Inf Syst 31: 1-23.
21. Pang B, Lee L (2008) Opinion mining and sentiment analysis. Found Trends Inf Retr 2(1-2): 1-135.
22. Richman AE, Schone P (2008) Mining wiki resources for multilingual named entity recognition. In: Proceedings of human language technologies conference, Association for Computational Linguistics, Columbus, pp 1-9.
23. Santos D, Seco N, Cardoso N, Vilela R (2006) Harem: An advanced ner evaluation contest for portuguese. In: Proceedings of the 5th international conference on language resources and evaluation (LREC), Genoa, pp 1986-1991.
24. Sarawagi S (2008) Information extraction. Found Trends Databases 1(3): 261-377.
25. Sekine S, Sudo K, Nobata C (2002) Extended named entity hierarchy. In: Proceedings of the international conference on language resources and evaluation conference (LREC), Las Palmas, pp 1-7.
26. Steinberger R, Bruno P, Ignat C (2004) Exploiting multilingual nomenclatures and language-independent text features as an interlingua for cross-lingual text analysis applications. In: Proceedings of the 4th Slovenian language technology conference. Information Society 2004 (IS'2004), Ljubljana.
27. Steinberger R, Pouliquen B, Ignat C (2005) Navigating multilingual news collections using automatically extracted information. J Comput Inf Technol 13: 257-264.
28. Thelen M, Riloff E (2002) A bootstrapping method for learning semantic lexicons using extraction pattern contexts. In: Proceedings of the conference on Empirical methods in natural language processing, Morristown, pp 214-221.
29. Tjong-Kim-Sang EF (2002) Introduction to the conll-2002 shared task: Language-independent named entity recognition. In: Proceedings of the conference on natural language learning (CoNLL-2002), Taipei, pp 155-158.
30. Tjong-Kim-Sang EF, Meulder FD (2003) Introduction to the conll-2003 shared task: language-independent named entity recognition. In: Proceedings of the conference on natural language learning (CoNLL-2003), Edmonton, pp 142-147.
31. Toral A, Munoz R (2006) A proposal to automatically build and maintain gazetteers for named entity recognition using wikipedia. In: Proceedings of the conference of the European chapter of the Association for computational linguistic (EACL '06), Trento, pp 56-62.
32. Yangarber R, Lin W, Grishman R (2002) Unsupervised learning of generalized names. In: Proceedings of the 19th international conference on computational linguistics, Morristown, pp 1-7.
33. Zanoli R, Pianta E, Giuliano C (2009) Named entity recognition through redundancy driven classifiers. In: In Proceedings of evaluation of NLP and speech tools for Italian (Evalita 2009), Rome, pp 1-5.
34. Zitouni I, Florian R (2008) Mention detection crossing the language barrier. In: Proceedings of Conference on empirical methods on natural language processing (EMPNLP), Honolulu, pp 600-609.