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IART: Intent-aware Response Ranking with Transformers in
  Information-seeking Conversation Systems

IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems

3 February 2020
Liu Yang
Minghui Qiu
Chen Qu
Cen Chen
Jiafeng Guo
Yongfeng Zhang
W. Bruce Croft
Haiqing Chen
ArXivPDFHTML

Papers citing "IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems"

4 / 4 papers shown
Title
Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking dialogs
Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking dialogs
Arian Askari
Roxana Petcu
Chuan Meng
Mohammad Aliannejadi
Amin Abolghasemi
Evangelos Kanoulas
Suzan Verberne
21
8
0
18 Feb 2024
Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using
  Large Transformer Language Models
Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using Large Transformer Language Models
Philip G. Feldman
Aaron Dant
D. Rosenbluth
AI4CE
14
1
0
05 Feb 2022
On the Calibration and Uncertainty of Neural Learning to Rank Models
On the Calibration and Uncertainty of Neural Learning to Rank Models
Gustavo Penha
C. Hauff
169
30
0
12 Jan 2021
Response Ranking with Deep Matching Networks and External Knowledge in
  Information-seeking Conversation Systems
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems
Liu Yang
Minghui Qiu
Chen Qu
J. Guo
Yongfeng Zhang
W. Bruce Croft
Jun Huang
Haiqing Chen
186
142
0
01 May 2018
1