Papers by Yansen Wang
Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders (P18-1)
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| Challenge: | Extensive experiments show that typed decoders outperform state-of-the-art baselines and can generate more meaningful questions. |
| Approach: | They devised two typed decoders that generate questions with different types of interrogatives, topic words, and ordinary words. |
| Outcome: | Extensive experiments show that the typed decoders outperform state-of-the-art baselines and can generate more meaningful questions. |
Incorporating Multimodal Information in Open-Domain Web Keyphrase Extraction (2020.emnlp-main)
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| Challenge: | Open-domain Keyphrase extraction (KPE) is a fundamental yet complex NLP task . effective designs encode within layout and formatting signals that point to where the important information can be found. |
| Approach: | They propose a multi-modal approach to open-domain keyphrase extraction (KPE) on the Web that leverages layout and formatting signals to aid in the task. |
| Outcome: | The proposed model outperforms state-of-the-art models on the open-domain keyphrase extraction task. |