Papers by Sujith Pulikodan
FIRE: A Dataset for Financial Relation Extraction (2024.findings-naacl)
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| Challenge: | Named Entity Recognition (NER) and Relation Extraction (RE) datasets require extensive linguistic and domain knowledge, making dataset creation costly and labor-intensive. |
| Approach: | They introduce a sentence-level dataset of named entities and relations within the financial sector that encapsulates 13 named entity types along with 18 relation types. |
| Outcome: | The proposed dataset encapsulates 13 named entity types along with 18 relation types and was labeled by a single annotator to minimize labeling noise. |