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CEN@Amrita FIRE 2016: Context based Character Embeddings for Entity Extraction in Code-Mixed Text

Srinidhi Skanda V, Shivkaran Singh, Remmiya Devi G, Veena P. V, M. Anand Kumar, Soman K. P
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 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.  ...  ACKNOWLEDGMENT We would like to give thanks to the task organizer -Forum for Information Retrieval Evaluation. We also thank organizers of CMEE-IL task.  ... 
dblp:conf/fire/VSGVMP16 fatcat:gdjynp5l5bf3hbl7jrtm2bsua4

AMRITA_CEN@FIRE 2016: Code-Mix Entity Extraction for Hindi-English and Tamil-English Tweets

Remmiya Devi G, Veena P. V, M. Anand Kumar, Soman K. P
2016 Forum for Information Retrieval Evaluation  
The work is submitted as a part of Shared task on Code Mix Entity Extraction for Indian Languages(CMEE-IL) at Forum for Information Retrieval Evaluation (FIRE) 2016.  ...  Three different methodology is proposed in this paper for the task of entity extraction for code-mix data. Proposed systems include approaches based on the Embedding models and feature based model.  ...  ACKNOWLEDGMENT We would like to thank organizers of Forum for Information Retrieval Evaluation 2016 for organizing the task. We would also like to thank the organizers of the CMEE-IL task.  ... 
dblp:conf/fire/GVMP16 fatcat:gccds65b3jc5hfswpbhp4pj7ru