Papers by Vamshi Krishna Srirangam
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. |