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Named Entity Recognition on Code-Switched Data Using Conditional Random Fields

2018-07-01WS 2018Unverified0· sign in to hype

Utpal Kumar Sikdar, Biswanath Barik, Bj{\"o}rn Gamb{\"a}ck

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Abstract

Named Entity Recognition is an important information extraction task that identifies proper names in unstructured texts and classifies them into some pre-defined categories. Identification of named entities in code-mixed social media texts is a more difficult and challenging task as the contexts are short, ambiguous and often noisy. This work proposes a Conditional Random Fields based named entity recognition system to identify proper names in code-switched data and classify them into nine categories. The system ranked fifth among nine participant systems and achieved a 59.25\% F1-score.

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