Papers with event coreference model
Improving Event Coreference Resolution by Learning Argument Compatibility from Unlabeled Data (N19-1)
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| Challenge: | Argument compatibility is a linguistic condition that is often used in event coreference resolution systems. |
| Approach: | They propose a transfer learning framework that uses unlabeled data to learn argument compatibility of event mentions. |
| Outcome: | The proposed model improves the performance of the overall event coreference model on the English dataset. |
What happens before and after: Multi-Event Commonsense in Event Coreference Resolution (2023.eacl-main)
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| Challenge: | Existing event coreference models cluster event mentions pertaining to the same event, but they fail to leverage commonsense inferences for lexically-divergent mentions. |
| Approach: | They propose a model that extends event mentions with temporal commonsense inferences to generate plausible events that happen before and after the target events. |
| Outcome: | The proposed model generates plausible events that happen before and after the target event, and then after it, such as "he was sentenced". |
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution (P19-1)
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| Challenge: | Recognizing that various textual spans across multiple texts refer to the same entity or event is an important NLP task. |
| Approach: | They propose a neural architecture for cross-document coreference resolution by representing an event mention using its lexical span, surrounding context, and relation to other mentions via predicate-arguments structures. |
| Outcome: | The proposed model outperforms the state-of-the-art event coreference model on ECB+ while providing the first entity coreference results on this corpus. |