Papers with open-domain conversational systems
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation (2021.naacl-demos)
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| Challenge: | Recent advances in transformer-based language models and their applications to dialogue systems have succeeded to generate fluent and human-like responses. |
| Approach: | They propose to leverage conversational lines as controllable and informative content-planning elements to guide the generation model produce engaging and informative responses. |
| Outcome: | The proposed system generates engaging and informative responses using convlines as controllable and informative content-planning elements. |
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. |
RPTCS: A Reinforced Persona-aware Topic-guiding Conversational System (2023.eacl-main)
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| Challenge: | Existing systems that control concept transitions in a conversation lack a persona-aware topic transition dataset. |
| Approach: | They propose a persona-aware topic-guiding conversational system that leads the conversation to drift to a set of target concepts depending on the persona of the speaker and the context of the conversation. |
| Outcome: | The proposed system produces fluent responses with no useful information and is based on a conversational dataset with a human-in-loop only quality checks. |