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

We use search engine results to address a particularly difficult cross-domain language processing 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.

• Type: Journal
• Year: 2011
• Where: ACL
• Authors: Stefan Rüd, Massimiliano Ciaramita, Jens Müller, Hinrich Schütze
• Keywords: ACL 2011, Computational Linguistics, Entity Recognition, Language Processing, Web Queries