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CEN@Amrita FIRE 2016: Context based Character Embeddings for Entity Extraction in Code-Mixed Text
2016
Forum for Information Retrieval Evaluation
This paper presents the working methodology and results on Code Mix Entity Extraction in Indian Languages (CMEE-IL) shared the task of FIRE-2016. The aim of the task is to identify various entities such as a person, organization, movie and location names in a given code-mixed tweets. The tweets in code mix are written in English mixed with Hindi or Tamil. In this work, Entity Extraction system is implemented for both Hindi-English and Tamil-English code-mix tweets. The system employs context
dblp:conf/fire/VSGVMP16
fatcat:gdjynp5l5bf3hbl7jrtm2bsua4