Papers by Vinay Singh
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. |
Plot Twist: Multimodal Models Don’t Comprehend Simple Chart Details (2024.findings-emnlp)
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| Challenge: | Recent advances in multimodal models show remarkable performance in real-world benchmarks for chart and figure understanding like ChartQA that involve interpreting trends, comparing data points, and extracting insights from visuals. |
| Approach: | They propose to ask models basic questions about axes ranges and values to examine their visual understanding abilities in the context of charts. |
| Outcome: | The models perform well on complex tasks, but lack basic capabilities on basic questions. |
Corpus Creation and Emotion Prediction for Hindi-English Code-Mixed Social Media Text (N18-4)
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| Challenge: | Emotion Prediction is a natural language processing task dealing with detection and classification of emotions in monolingual and bilingual texts. |
| Approach: | They propose a machine learning system which uses various machine learning techniques to detect emotion associated with tweets. |
| Outcome: | The proposed system uses various machine learning techniques to detect emotion associated with the text. |