Papers by Shubham Mittal
mOKB6: A Multilingual Open Knowledge Base Completion Benchmark (2023.acl-short)
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| Challenge: | Open knowledge bases (Open KBCs) are constructed from triples of the form, which can be denoted as (s, r, o) by using open information extraction (Open IE) systems. |
| Approach: | They construct a dataset with facts from Wikipedia in six languages . they use open information extraction systems to extract triples from text . |
| Outcome: | The proposed dataset contains facts from Wikipedia in six languages including English . it improves existing Open KB construction pipeline by doing multilingual coreference resolution and keeping only entity-linked triples . |
Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media (2023.emnlp-main)
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| Challenge: | Claim span identification (CSI) is an important step in fact-checking pipelines . despite its importance to journalists and fact-seekers, it remains a understudied problem . |
| Approach: | They propose to use social media claims to identify text segments that contain a check-worthy claim or assertion in a social media post. |
| Outcome: | The proposed dataset outperforms other cross-lingual transfer methods on multiple languages. |
Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction (2022.acl-long)
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| Challenge: | Existing training data in English is limited to supervised Open Information Extraction (OpenIE) . |
| Approach: | They propose a model that automatically converts English sentences into other languages by using Alignment-Augmented Constrained Translation (AACTrans) they train a generative OpenIE model that outputs for each sentence relations in the first stage and all extractions containing the relation in the second stage. |
| Outcome: | The proposed model outperforms existing models on Spanish, Portuguese, Chinese, Hindi and Telugu on 5 languages. |