Recognizing Named Entities in tweets

ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

Volumn 1, Issue , 2011, Pages 359-367

  Liu, Xiaohua ^a,c   Zhang, Shaodian ^b   Wei, Furu ^c   Zhou, Ming ^c  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

^c MICROSOFT RESEARCH ASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL RANDOM FIELD; K-NEAREST NEIGHBORS; NAMED ENTITIES; SEMI-SUPERVISED LEARNING; TRAINING DATA;

CHARACTER RECOGNITION; COMPUTATIONAL LINGUISTICS;

SUPERVISED LEARNING;

EID: 84856357793     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (28)

1. Peter F. Brown, Peter V. deSouza, Robert L. Mercer, Vincent J. Della Pietra, and Jenifer C. Lai. 1992. Classbased n-gram models of natural language. Comput. Linguist., 18:467-479.
2. Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao Li, Frederick Reiss, and Shivakumar Vaithyanathan. 2010. Domain adaptation of rule-based annotators for named-entity recognition tasks. In EMNLP, pages 1002-1012.
3. Michael Collins. 2002. Discriminative training methods for hidden markov models: theory and experiments with perceptron algorithms. In EMNLP, pages 1-8.
4. Doug Downey, Matthew Broadhead, and Oren Etzioni. 2007. Locating Complex Named Entities inWeb Text. In IJCAI.
5. Oren Etzioni, Michael Cafarella, Doug Downey, Ana- Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, and Alexander Yates. 2005. Unsupervised named-entity extraction from the web: an experimental study. Artif. Intell., 165(1):91-134. (Pubitemid 40556657)
6. Tim Finin, Will Murnane, Anand Karandikar, Nicholas Keller, Justin Martineau, and Mark Dredze. 2010. Annotating named entities in twitter data with crowdsourcing. In CSLDAMT, pages 80-88.
7. Jenny Rose Finkel and Christopher D. Manning. 2009. Nested named entity recognition. In EMNLP, pages 141-150.
8. Jenny Rose Finkel, Trond Grenager, and Christopher Manning. 2005. Incorporating non-local information into information extraction systems by gibbs sampling. In ACL, pages 363-370.
9. Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang, Xian Wu, and Zhong Su. 2009. Domain adaptation with latent semantic association for named entity recognition. In NAACL, pages 281-289.
10. Martin Jansche and Steven P. Abney. 2002. Information extraction from voicemail transcripts. In EMNLP, pages 320-327.
11. Jing Jiang and ChengXiang Zhai. 2007. Instance weighting for domain adaptation in nlp. In ACL, pages 264-271.
12. Dan Klein and Christopher D. Manning. 2003. Accurate unlexicalized parsing. In ACL, pages 423-430.
13. Vijay Krishnan and Christopher D. Manning. 2006. An effective two-stage model for exploiting non-local dependencies in named entity recognition. In ACL, pages 1121-1128.
14. George R. Krupka and Kevin Hausman. 1998. Isoquest: Description of the netowl™ extractor system as used in muc-7. In MUC-7.
15. John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML, pages 282-289.
16. Andrew Mccallum and Wei Li. 2003. Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons. In HLT-NAACL, pages 188-191.
17. Scott Miller, Jethran Guinness, and Alex Zamanian. 2004. Name tagging with word clusters and discriminative training. In HLT-NAACL, pages 337-342.
18. Einat Minkov, Richard C. Wang, and William W. Cohen. 2005. Extracting personal names from email: applying named entity recognition to informal text. In HLT, pages 443-450.
19. David Nadeau and Satoshi Sekine. 2007. A survey of named entity recognition and classification. Linguisticae Investigationes, 30:3-26.
20. Lev Ratinov and Dan Roth. 2009. Design challenges and misconceptions in named entity recognition. In CoNLL, pages 147-155.
21. Sameer Singh, Dustin Hillard, and Chris Leggetter. 2010. Minimally-supervised extraction of entities from text advertisements. In HLT-NAACL, pages 73-81.
22. Jun Suzuki and Hideki Isozaki. 2008. Semi-supervised sequential labeling and segmentation using giga-word scale unlabeled data. In ACL, pages 665-673.
23. Erik F. Tjong Kim Sang and Fien De Meulder. 2003. Introduction to the CoNLL-2003 shared task: languageindependent named entity recognition. In HLTNAACL, pages 142-147.
24. Yefeng Wang. 2009. Annotating and recognising named entities in clinical notes. In ACL-IJCNLP, pages 18-26.
25. Dan Wu, Wee Sun Lee, Nan Ye, and Hai Leong Chieu. 2009. Domain adaptive bootstrapping for named entity recognition. In EMNLP, pages 1523-1532.
26. Kazuhiro Yoshida and Jun'ichi Tsujii. 2007. Reranking for biomedical named-entity recognition. In BioNLP, pages 209-216.
27. Tong Zhang and David Johnson. 2003. A robust risk minimization based named entity recognition system. In HLT-NAACL, pages 204-207.
28. GuoDong Zhou and Jian Su. 2002. Named entity recognition using an hmm-based chunk tagger. In ACL, pages 473-480.