Papers by Kailai Sun
Reorder and then Parse, Fast and Accurate Discontinuous Constituency Parsing (2022.emnlp-main)
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| Challenge: | Discontinuous constituency parsing is still being developed for its efficiency and accuracy are far behind its continuous counterparts. |
| Approach: | They propose to transform a discontinuous constituent tree into a pseudo-continuous one by reordering words in the sentence. |
| Outcome: | The proposed method can transform a discontinuous constituent tree into a pseudo-continuous one by parsing and performing actions on three classical discontinuous constituency treebanks. |
Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations (2021.findings-emnlp)
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| Challenge: | Emotion Recognition in Conversation models neglect direct utterance-knowledge interaction and use emotion-indirect auxiliary tasks to augment semantic information. |
| Approach: | They propose a Knowledge-Interactive Network with sentiment polarity intensity-aware multi-task learning which leverages both commonsense knowledge and sentiment lexicon to augment semantic information. |
| Outcome: | The proposed model shows 1.04% performance improvement over the state-of-the-art model on the IEMOCAP dataset. |
Arg-LLaDA: Argument Summarization via Large Language Diffusion Models and Sufficiency-Aware Refinement (2026.acl-long)
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| Challenge: | Existing approaches to argument summarization rely on single-pass generation, offering limited support for factual correction or structural refinement. |
| Approach: | They propose a large language diffusion framework that iteratively improves argument summarization by sufficiency-guided remasking and regeneration. |
| Outcome: | Empirical results show that Arg-LLaDA surpasses state-of-the-art baselines in 7 out of 10 evaluation metrics. |