Paper: Passive-Aggressive Sequence Labeling with Discriminative Post-Editing for Recognising Person Entities in Tweets

ACL ID E14-4014
Title Passive-Aggressive Sequence Labeling with Discriminative Post-Editing for Recognising Person Entities in Tweets
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

Recognising entities in social media text is difficult. NER on newswire text is conven- tionally cast as a sequence labeling prob- lem. This makes implicit assumptions re- garding its textual structure. Social me- dia text is rich in disfluency and often has poor or noisy structure, and intuitively does not always satisfy these assumptions. We explore noise-tolerant methods for se- quence labeling and apply discriminative post-editing to exceed state-of-the-art per- formance for person recognition in tweets, reaching an F1 of 84%.