Sep 14, 2020 · In this work, we propose a novel model to fill such a gap by modeling the effective utterance-aware and speaker-aware representations entailed in a dialogue ...

A multi-turn dialogue is composed of multiple utterances from two or more different speaker roles. Thus utterance- and speaker-aware clues are supposed to be ...

A multi-turn dialogue is composed of multiple utterances from two or more different speaker roles. Thus utterance- and speaker-aware clues are supposed to ...

Sep 14, 2020 · A novel model is proposed to fill the gap in retrieval-based multi-turn dialogue modeling by modeling the effective utterance-aware and ...

Oct 14, 2021 · Filling the gap of utterance- · aware and speaker-aware representation for multi- · turn dialogue. Yafei Liu, Hongjin Qian, Hengpeng Xu, and ...

Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue. Proceedings of the AAAI Conference on Artificial Intelligence ...

Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue. L Liu, Z Zhang, H Zhao, X Zhou, X Zhou. AAAI, 2021. 59, 2021.

Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue ... A novel model is proposed to fill the gap in retrieval-based multi ...

In this work, we propose a novel model to fill such a gap by modeling the effective utterance-aware and speaker-aware representations entailed in a dialogue ...

Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue · Longxiang Liu, Zhuosheng Zhang, Hai Zhao and. Xi Zhou, Xiang Zhou ...