Empirical analysis of aggregation methods for collective annotation

COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers

Volumn , Issue , 2014, Pages 1533-1542

  Qing, Ciyang ^a   Endriss, Ulle ^a   Ferńandez, Raquel ^a   Kruger, Justin ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; LINGUISTICS;

AGGREGATION METHODS; EMPIRICAL ANALYSIS; LINGUISTIC ANNOTATIONS; MAJORITY VOTE;

COMPUTATIONAL LINGUISTICS;

EID: 84959089123     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Eugene Charniak and Mark Johnson. 2001. Edit detection and parsing for transcribed speech. In Proc. of NAACL.
2. Daniel Dahlmeier and Hwee Tou Ng. 2012. A beam-search decoder for grammatical error correction. In Proc. of EMNLP-CoNLL.
3. Kallirroi Georgila. 2009. Using integer linear programming for detecting speech disfluencies. In Proc. of NAACL.
4. Mark Johnson and Eugene Charniak. 2004. A TAG-based noisy channel model of speech repairs. In Proc. of ACL.
5. Jeremy G. Kahn, Matthew Lease, Eugene Charniak, Mark Johnson, and Mari Ostendorf. 2005. Effective use of prosody in parsing conversational speech. In Proc. of EMNLP.
6. John Lafferty, Andrew McCallum, and Fernando Pereira. 2001 Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc. of ICML.
7. Yang Liu, Elizabeth Shriberg, Andreas Stolcke, Dustin Hillard, Mari Ostendorf, and Mary Harper. 2006. Enriching speech recognition with automatic detection of sentence boundaries and disfluencies. IEEE Transactions on Audio, Speech, and Language Processing, 14(5).
8. Sameer Maskey, Bowen Zhou, and Yuqing Gao. 2006. A phrase-level machine translation approach for disfluency detection using weighted finite state transducers. In Proc. of INTERSPEECH.
9. Franz Josef Och. 2003. Minimum error rate training in statistical machine translation. In Proc. of ACL.
10. Xian Qian and Yang Liu. 2013. Disfluency detection using multi-step stacked learning. In Proc. of NAACL.
11. J.A.K. Suykens and J. Vandewalle. 1999 Least squares support vector machine classifiers. Neural Processing Letters, 9.
12. Ben Taskar, Carlos Guestrin, and Daphne Koller. 2003. Max-margin Markov networks. In Proc. of NIPS.
13. Pidong Wang and Hwee Tou Ng. 2013. A beam-search decoder for normalization of social media text with application to machine translation. In Proc. of NAACL.
14. Qi Zhang, Fuliang Weng, and Zhe Feng. 2006. A progressive feature selection algorithm for ultra large feature spaces. In Proc. of ACL.
15. Simon Zwarts and Mark Johnson. 2011. The impact of language models and loss functions on repair disfluency detection. In Proc. of ACL.