Dataset Open Access
Modeling Factual Claims with Semantic Frames
Arslan, Fatma; Jimenez, Damian; Caraballo, Josue; Li, Chengkai
We introduce an extension of the Berkeley FrameNet for the structured and semantic modeling of factual claims. Modeling is a robust tool that can be leveraged in many different tasks such as matching claims to existing fact-checks and translating claims to structured queries. Our work introduces 11 new manually crafted frames along with 9 existing FrameNet frames, all of which have been selected with fact-checking in mind. Along with these frames, we are also providing 2,540 fully annotated sentences, which can be used to understand how these frames are intended to work and to train machine learning models.
| Name | Size | |
|---|---|---|
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Comparing_at_two_different_points_in_time.xml
md5:6c68dd230b5d36e573bda875c5e23f45 |
6.8 kB | Download |
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Comparing_two_entities.xml
md5:7c2e7a2819cce2da27323a9cb0f1ce4a |
5.1 kB | Download |
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Correlation.xml
md5:194b5317dee9c793358c351cb7ed805a |
2.5 kB | Download |
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Occupy_rank_via_ordinal_numbers.xml
md5:4fa2622aae4ef579ee7d0bbccb53ee02 |
4.6 kB | Download |
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Occupy_rank_via_superlatives.xml
md5:ee55b2645ac48b77551fd0469d87f28d |
8.4 kB | Download |
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Ratio.xml
md5:99c71da7e618a8ebf1cb5c4b48934f13 |
4.9 kB | Download |
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Recurring_action.xml
md5:39b2cb7107d60aee8af91dd7dffaa7ca |
4.1 kB | Download |
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Recurring_action_in_frequency.xml
md5:6d132aaec3c5e3b02fd60c0a74caf4ec |
4.6 kB | Download |
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Taking_sides_consistency.xml
md5:bbe1484ea43d350f6ecdea1078391ab0 |
5.4 kB | Download |
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Uniqueness_of_trait.xml
md5:9a25ec1d01c8896b2d598f1ac332560e |
4.0 kB | Download |
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Vote.xml
md5:8c5562974157d0d50bf2450547bb6aac |
7.1 kB | Download |
| All versions | This version | |
|---|---|---|
| Views | 95 | 95 |
| Downloads | 12 | 12 |
| Data volume | 64.4 kB | 64.4 kB |
| Unique views | 85 | 85 |
| Unique downloads | 2 | 2 |
- Publication date:
- March 14, 2020
- DOI:
-
- License (for files):
- Creative Commons Attribution 4.0 International