Papers by Vamshi Krishna Srirangam

2 papers
Corpus Creation and Analysis for Named Entity Recognition in Telugu-English Code-Mixed Social Media Data (P19-2)

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Challenge: Named Entity Recognition (NER) is a subtask of Information Extraction in NLP.
Approach: They present a Telugu-English code-mixed corpus with the corresponding named entity tags.
Outcome: The proposed model scored 0.96, 0.94 and 0.95 on a Telugu-English code-mixed corpus.
Creation of Corpus and analysis in Code-Mixed Kannada-English Twitter data for Emotion Prediction (2020.coling-main)

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Challenge: Existing work on emotion prediction for resource-rich languages has focused on code-mixed social media corpus but not on Kannada-English code-mixed Twitter data.
Approach: They analyze Kannada-English code-mixed Twitter corpus annotated with their respective ‘Emotion’ for each tweet.
Outcome: The proposed model based on Kannada-English code-mixed Twitter corpus yielded an accuracy of 30% and 32% respectively.

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