Conversational Intelligence Team

We are a team of the Web Intelligence Group working closely on problems related to conversational systems. Conversational systems aim to satisfy users’ needs through conversations using written or spoken language.

Our main research topics are:

  • mixed-initiative interaction
  • common-sense reasoning
  • conversational question-answering
  • dialogue-state tracking
  • task-based conversational systems
  • fairness in conversational systems
  • conversational systems’ evaluation

People

zshi1

Shenxiang

Xiao-Fu

Xiao

jerome-ramos

Jerome

Publications

2022

Kim, To Eun; Lipani, Aldo

A Multi-Task Based Neural Model to Simulate Users in Goal-Oriented Dialogue Systems Inproceedings

Proc.~of SIGIR, 2022.

Abstract | Links | BibTeX

Shi, Zhengxiang; Zhang, Qiang; Lipani, Aldo

StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts Inproceedings

Proceedings of the Association for the Advancement of Artificial Intelligence, 2022.

Abstract | Links | BibTeX

Shi, Zhengxiang; Feng, Yue; Lipani, Aldo

Learning to Execute Actions or Ask Clarification Questions Inproceedings

Findings of NAACL, 2022.

Abstract | Links | BibTeX

2021

Ye, Fanghua; Manotumruksa, Jarana; Zhang, Qiang; Li, Shenghui; Yilmaz, Emine

Slot Self-Attentive Dialogue State Tracking Inproceedings

WWW, 2021.

Links | BibTeX

Lipani, Aldo; Carterette, Ben; Yilmaz, Emine

How Am I Doing?: Evaluating Conversational Search Systems Offline Journal Article

ACM Transactions on Information Systems (TOIS), 2021.

Abstract | Links | BibTeX

2019

Lipani, Aldo; Carterette, Ben; Yilmaz, Emine

From a User Model for Query Sessions to Session Rank Biased Precision (sRBP) Inproceedings

Proc.~of ICTIR, 2019.

Abstract | Links | BibTeX