Papers with ACE2005 dataset
DoTAT: A Domain-oriented Text Annotation Tool (2022.acl-demo)
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| Challenge: | DoTAT is a domain-oriented text annotation tool that can reduce the time for event annotation by 19.7% . the tool supports multi-person collaborative process with automatically merging and review . |
| Approach: | They propose a domain-oriented text annotation tool called DoTAT . it provides multi-person collaborative process with automatic merging and review . |
| Outcome: | The proposed tool can reduce the time for event annotation by 19.7% compared with existing tools. |
Self-Attention Graph Residual Convolutional Networks for Event Detection with dependency relations (2021.findings-emnlp)
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| Challenge: | Existing methods to classify events using syntactic dependency relations have not been developed. |
| Approach: | They propose a model which combines syntactic dependency relations with attention-based dynamic tensors to mine node-to-node latent dependency relations via self-attention mechanism. |
| Outcome: | The proposed model improves on the ACE2005 dataset and compares with baseline models. |
PESE: Event Structure Extraction using Pointer Network based Encoder-Decoder Architecture (2022.aacl-main)
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| Challenge: | Event extraction (EE) aims to find the events and event-related argument information from the text and represent them in a structured format. |
| Approach: | They propose to represent each event record in a unique tuple format that contains trigger phrase, trigger type, argument phrase, and corresponding role information. |
| Outcome: | The proposed model achieves competitive performance compared to the state-of-the-art methods. |
Span-Level Model for Relation Extraction (P19-1)
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| Challenge: | Recent approaches for this span-level task have inherent limitations. |
| Approach: | They propose a model which directly models all possible spans and performs joint entity mention detection and relation extraction. |
| Outcome: | The proposed model performs joint entity mention detection and relation extraction on the ACE2005 dataset. |