Papers by Kateryna Tymoshenko
Cross-Pair Text Representations for Answer Sentence Selection (D18-1)
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| Challenge: | Existing approaches to textual entailment and question answering focus on intra-pair similarity . a simple lexical matching (marked with italics) is not enough to learn a model based on intrapair Qto-A similarities. |
| Approach: | They propose to compute scalar products representing similarity between members of different pairs instead of using a single vector for each pair. |
| Outcome: | The proposed approach outperforms more complex models based on neural networks. |
Strong and Light Baseline Models for Fact-Checking Joint Inference (2021.findings-acl)
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| Challenge: | Automated fact checking is rapidly gaining attention of the NLP and AI communities. |
| Approach: | They propose lightweight strong baselines for automated fact-checking systems . they propose to combine multiple pieces of evidence to verify a claim . |
| Outcome: | The proposed methods outperform heavier models on the leaderboard with blind TEST set. |