Papers by Zineb Bennis
A simple but effective model for attachment in discourse parsing with multi-task learning for relation labeling (2023.eacl-main)
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| Challenge: | a discourse parsing model for conversation trained on the STAC is hard due to the complexity of discourse graphs and the frequent lack of surface cues provided by EDUs. |
| Approach: | They propose a discourse parsing model for conversation trained on the STAC that encodes discourse units and uses a multitask setting to predict relation labels. |
| Outcome: | The proposed model outperforms state-of-the-art models for discourse attachment prediction with no loss in performance for attachment. |