activity
20172025
most citedOverview of the TREC 2020 deep learning track

117 citations · 511 across the 34 of their papers we have counts for

collaborators
Showing cs.CLShow all

9 papers · 1 filter

cs.CL2023★ 3 cited

Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues

Yue Feng, Hossein A. Rahmani, Aldo Lipani +1

Task-oriented dialogue systems aim at providing users with task-specific services. Users of such systems often do not know all the information about the task they are trying to acc…

cs.CL2023

Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process

Fanghua Ye, Zhiyuan Hu, Emine Yilmaz

Dialogue systems have received increasing attention while automatically evaluating their performance remains challenging. User satisfaction estimation (USE) has been proposed as an…

cs.CL2022

ViralBERT: A User Focused BERT-Based Approach to Virality Prediction

Rikaz Rameez, Hossein A. Rahmani, Emine Yilmaz

Recently, Twitter has become the social network of choice for sharing and spreading information to a multitude of users through posts called 'tweets'. Users can easily re-share the…

cs.CL2022★ 1 cited

Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking

Yue Feng, Aldo Lipani, Fanghua Ye +2

Dialogue State Tracking (DST) aims to keep track of users' intentions during the course of a conversation. In DST, modelling the relations among domains and slots is still an under…

cs.CL2022

ASSIST: Towards Label Noise-Robust Dialogue State Tracking

Fanghua Ye, Yue Feng, Emine Yilmaz

The MultiWOZ 2.0 dataset has greatly boosted the research on dialogue state tracking (DST). However, substantial noise has been discovered in its state annotations. Such noise brin…

cs.CL2021★ 2 cited

Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations

Fangyu Liu, Yunlong Jiao, Jordan Massiah +2

In NLP, a large volume of tasks involve pairwise comparison between two sequences (e.g. sentence similarity and paraphrase identification). Predominantly, two formulations are used…

cs.CL2021★ 5 cited

MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation

Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz

The MultiWOZ 2.0 dataset has greatly stimulated the research of task-oriented dialogue systems. However, its state annotations contain substantial noise, which hinders a proper eva…

cs.CL2021★ 2 cited

Slot Self-Attentive Dialogue State Tracking

Fanghua Ye, Jarana Manotumruksa, Qiang Zhang +2

An indispensable component in task-oriented dialogue systems is the dialogue state tracker, which keeps track of users' intentions in the course of conversation. The typical approa…

cs.CL2018★ 4 cited

Variational Self-attention Model for Sentence Representation

Qiang Zhang, Shangsong Liang, Emine Yilmaz

This paper proposes a variational self-attention model (VSAM) that employs variational inference to derive self-attention. We model the self-attention vector as random variables by…