Broad twitter corpus: A diverse named entity recognition resource

COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers

Volumn , Issue , 2016, Pages 1169-1179

  Derczynski, Leon ^a   Bontcheva, Kalina ^a   Roberts, Ian ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; TEXT PROCESSING;

COMPARATIVE EVALUATIONS; GOLD STANDARDS; HIGH QUALITY; METHOD DEVELOPMENT; NAMED ENTITIES; NAMED ENTITY RECOGNITION; SOCIAL MEDIA; SOURCE TEXT;

SOCIAL NETWORKING (ONLINE);

EID: 85040636846     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (37)

1. Omar Alonso and Matthew Lease. 2011. Crowdsourcing for information retrieval: principles, methods, and applications. In Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, pages 1299-1300. ACM.
2. Krisztian Balog, Yi Fang, Maarten de Rijke, Pavel Serdyukov, and Luo Si. 2012. Expertise retrieval. Foundations and Trends in Information Retrieval, 6(2-3): 127-256.
3. Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor. 2008. Freebase: a collaboratively created graph database for structuring human knowledge. In Proceedings of the 2008 ACM SIGMOD international conference on Management of data, pages 1247-1250. ACM.
4. Kalina Bontcheva, Leon Derczynski, Adam Funk, Mark A. Greenwood, Diana Maynard, and Niraj Aswani. 2013. TwitlE: An Open-Source Information Extraction Pipeline for Microblog Text. In Proceedings of the International Conference on Recent Advances in Natural Language Processing. Association for Computational Linguistics.
5. Kalina Bontcheva, Leon Derczynski, and Ian Roberts. 2014a. Crowdsourcing named entity recognition and entity linking corpora. The Handbook of Linguistic Annotation (to appear).
6. Kalina Bontcheva, Ian Roberts, Leon Derczynski, and Dominic Rout. 2014b. The GATE Crowdsourcing Plugin: Crowdsourcing Annotated Corpora Made Easy. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL). Association for Computational Linguistics.
7. Chris Callison-Burch and Mark Dredze. 2010. Creating speech and language data with Amazon's Mechanical Turk. In Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, pages 1-12.
8. Munmun De Choudhury, Scott Counts, Eric Horvitz, and Michael Gamon. 2013. Predicting depression via social media. In Proceedings of ICWSM. AAAI, July.
9. Glen Coppersmith, Mark Dredze, and Craig Harman. 2014. Quantifying mental health signals in Twitter. In Associational for Computational Linguistics Workshop of Computational Linguistics and Clinical Psychology.
10. Leon Derczynski, Diana Maynard, Giuseppe Rizzo, Marieke van Erp, Genevieve Gorrell, Raphaël Troncy, and Kalina Bontcheva. 2015. Analysis of named entity recognition and linking for tweets. Information Processing and Management, 51:32-49.
11. Djellel Eddine Difallah, Gianluca Demartini, and Philippe Cudré-Mauroux. 2013. Pick-a-crowd: tell me what you like, and I'll tell you what to do. In Proceedings of the 22nd international conference on World Wide Web, pages 367-374. ACM.
12. Jacob Eisenstein, Brendan O'Connor, Noah Smith, and Eric P. Xing. 2010. Discovering sociolinguistic associations with structured sparsity. In Proceedings of the Annual Meeting of the Association for Computational Linguistics.
13. Jacob Eisenstein. 2013. What to do about bad language on the internet. In Proceedings of NAACL-HLT, pages 359-369.
14. Tim Finin, Will Murnane, Anand Karandikar, Nicholas Keller, Justin Martineau, and Mark Dredze. 2010. Annotating named entities in Twitter data with crowdsourcing. In Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, pages 80-88.
15. Hege Fromreide, Dirk Hovy, and Anders Søgaard. 2014. Crowdsourcing and annotating NER for Twitter #drift. In Proceedings of LREC, pages 2544-2547. European Language Resources Association.
16. Dirk Hovy, Taylor Berg-Kirkpatrick, Ashish Vaswani, and Eduard Hovy. 2013. Learning whom to trust with MACE. In Proc. of NAACL-HLT, pages 1120-1130.
17. Eduard Hovy. 2010. Annotation. In Tutorial Abstracts of ACL.
18. Yuheng Hu, Kartik Talamadupula, Subbarao Kambhampati, et al 2013. Dude, srsly?: The surprisingly formal nature of Twitter's language. Proceedings of ICWSM.
19. Chris Kedzie, Kathleen McKeown, and Fernando Diaz. 2015. Predicting salient updates for disaster summarization. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics, Volume 1, pages 1608-1617. Association for Computational Linguistics.
20. Dennis Kergl, Robert Roedler, and Sebastian Seeber. 2014. On the endogenesis of Twitter's Spritzer and Gardenhose sample streams. In Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on, pages 357-364. IEEE.
21. Shashank Khanna, Aishwarya Ratan, James Davis, and William Thies. 2010. Evaluating and improving the usability of Mechanical Turk for low-income workers in India. In Proceedings of the first ACM symposium on computing for development. ACM.
22. Xiaohua Liu, Shaodian Zhang, Furu Wei, and Ming Zhou. 2011. Recognizing named entities in tweets. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 359-367.
23. Marco Lui and Timothy Baldwin. 2012. langid.py: An off-the-shelf language identification tool. In The 50th Annual Meeting of the Association for Computational Linguistics, Volume 4, pages 25-30. ACL.
24. Walid Magdy and Tamer Elsayed. 2016. Unsupervised adaptive microblog filtering for broad dynamic topics. Information Processing & Management, 52(4):513-528.
25. Christopher Mascaro and Sean Patrick Goggins. 2012. Twitter as virtual town square: Citizen engagement during a nationally televised republican primary debate. In APSA 2012 Annual Meeting Paper.
26. Mohammad M Masud, Qing Chen, Latifur Khan, Charu Aggarwal, Jing Gao, Jiawei Han, and Bhavani Thuraisingham. 2010. Addressing concept-evolution in concept-drifting data streams. In Data Mining (ICDM), 2010 IEEE 10th International Conference on, pages 929-934. IEEE.
27. Robert R Morris, Mira Dontcheva, and Elizabeth M Gerber. 2012. Priming for better performance in microtask crowdsourcing environments. Internet Computing, IEEE, 16(5): 13-19.
28. Mohamed M. Mostafa. 2013. More than words: Social networks text mining for consumer brand sentiments. Expert Systems with Applications, 40(10):4241-4251.
29. Graham Neubig, Yuichiroh Matsubayashi, Masato Hagiwara, and Koji Murakami. 2011. Safety information mining - what can NLP do in a disaster. In Proceedings of 5th International Joint Conference on Natural Language Processing, pages 965-973. Asian Federation of Natural Language Processing.
30. Brendan O'Connor, Michel Krieger, and David Ahn. 2010. TweetMotif: Exploratory Search and Topic Summarization for Twitter. In Proceedings of the Fourth AAAI Conference on Weblogs and Social Media (ICWSM), pages 384-385.
31. Alan Ritter, Sam Clark, Mausam, and Oren Etzioni. 2011. Named entity recognition in tweets: An experimental study. In Proc. of Empirical Methods for Natural Language Processing (EMNLP), Edinburgh, UK.
32. Tony Rose, Mark Stevenson, and Miles Whitehead. 2002. The Reuters Corpus Volume 1 - from Yesterday's News to Tomorrow's Language Resources. In LREC, Volume 2, pages 827-832.
33. Matthew Rowe, Milan Stankovic, Aba Sah Dadzie, B.P Nunes, and Amparo Elizabeth Cano. 2013. Making sense of microposts (#msm2013): Big things come in small packages. In Proceedings of the WWW Conference-Workshops.
34. Marta Sabou, Kalina Bontcheva, Leon Derczynski, and Arno Scharl. 2014. Corpus annotation through crowdsourcing: Towards best practice guidelines. In Proceedings of the 9th international conference on language resources and evaluation (LREC14), pages 859-866.
35. Erik F. Tjong Kim Sang and Fien De Meulder. 2003. Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition. In Proceedings of CoNLL-2003, pages 142-147. Edmonton, Canada.
36. Zeynep Tufekci. 2014. Big questions for social media big data: Representativeness, validity and other methodological pitfalls. In Proceedings of the 8th International AAAI Conference on Weblogs and Social Media.
37. Andranik Tumasjan, Timm O. Sprenger, Philipp G. Sandner, and Isabell M. Welpe. 2010. Predicting elections with Twitter: What 140 characters reveal about political sentiment. In Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, pages 178-185.