Papers with multi-task frameworks
A general framework for information extraction using dynamic span graphs (N19-1)
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| Challenge: | Existing frameworks for information extraction use a pipeline approach to identify entities and then use the detected entity spans for relation extraction and coreference resolution. |
| Approach: | They propose a framework for several information extraction tasks that share span representations using dynamically constructed span graphs. |
| Outcome: | The proposed framework significantly outperforms state-of-the-art on multiple information extraction tasks across multiple datasets reflecting different domains. |
Cross-Lingual Abstractive Summarization with Limited Parallel Resources (2021.acl-long)
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| Challenge: | Existing approaches to cross-lingual summarization use limited available cross-linguistic resources. |
| Approach: | They propose a multi-task framework for cross-lingual abstractive summarization that uses a single decoder to generate monolingual and cross-linguistic summaries. |
| Outcome: | Experiments on two CLS datasets show that the proposed model outperforms baseline models in low-resource and full-dataset scenarios. |