@jabreftest

Recognizing named entities in tweets

, , , and . Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1, page 359--367. Stroudsburg, PA, USA, Association for Computational Linguistics, (2011)

Description

>1200 tweets manually labelled, from them about half contained at least one NE, from which person, location, organisation are the biggest parts

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