Paper: Piggyback: Using Search Engines for Robust Cross-Domain Named Entity Recognition

ACL ID P11-1097
Title Piggyback: Using Search Engines for Robust Cross-Domain Named Entity Recognition
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

We use search engine results to address a par- ticularly difficult cross-domain language pro- cessing task, the adaptation of named entity recognition (NER) from news text to web queries. The key novelty of the method is that we submit a token with context to a search engine and use similar contexts in the search results as additional information for correctly classifying the token. We achieve strong gains in NER performance on news, in-domain and out-of-domain, and on web queries.