6 papers
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding
Eileen Ye, Jiawen Tao, Yaoming Li +7
Long-running multi-turn interactions with chatbots and agents are now common, and a correct response often depends on remembering earlier details, tracking later revisions, identif…
DraDDP: A Multimodal Multi-Party Dialogue Discourse Parsing Dataset
Shannan Liu, Peifeng Li, Yaxin Fan +1
Multi-party dialogue discourse parsing aims to identify dependency structures and relation types between utterances in conversations. Previous studies are mostly limited to textual…
Improving Dialogue Discourse Parsing through Discourse-aware Utterance Clarification
Yaxin Fan, Peifeng Li, Qiaoming Zhu
Dialogue discourse parsing aims to identify and analyze discourse relations between the utterances within dialogues. However, linguistic features in dialogues, such as omission and…
Enhancing Goal-oriented Proactive Dialogue Systems via Consistency Reflection and Correction
Didi Zhang, Yaxin Fan, Peifeng Li +1
Goal-oriented proactive dialogue systems are designed to guide user conversations seamlessly towards specific objectives by planning a goal-oriented path. However, previous researc…
Two-stage Incomplete Utterance Rewriting on Editing Operation
Zhiyu Cao, Peifeng Li, Qiaoming Zhu +1
Previous work on Incomplete Utterance Rewriting (IUR) has primarily focused on generating rewritten utterances based solely on dialogue context, ignoring the widespread phenomenon…
Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation
Zhiyu Cao, Peifeng Li, Yaxin Fan +1
Although existing fashionable generation methods on Incomplete Utterance Rewriting (IUR) can generate coherent utterances, they often result in the inclusion of irrelevant and redu…