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Do Neural Dialog Systems Use the Conversation History Effectively? An
  Empirical Study
v1v2 (latest)

Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study

4 June 2019
Chinnadhurai Sankar
Sandeep Subramanian
C. Pal
A. Chandar
Yoshua Bengio
ArXiv (abs)PDFHTML

Papers citing "Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study"

20 / 70 papers shown
Title
A Compare Aggregate Transformer for Understanding Document-grounded
  Dialogue
A Compare Aggregate Transformer for Understanding Document-grounded Dialogue
Longxuan Ma
Weinan Zhang
Runxin Sun
Ting Liu
72
10
0
01 Oct 2020
Utterance-level Dialogue Understanding: An Empirical Study
Utterance-level Dialogue Understanding: An Empirical Study
Deepanway Ghosal
Navonil Majumder
Rada Mihalcea
Soujanya Poria
90
23
0
29 Sep 2020
Neural Generation Meets Real People: Towards Emotionally Engaging
  Mixed-Initiative Conversations
Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations
Ashwin Paranjape
A. See
Kathleen Kenealy
Haojun Li
Amelia Hardy
Peng Qi
Kaushik Ram Sadagopan
Nguyet Minh Phu
Dilara Soylu
Christopher D. Manning
99
42
0
27 Aug 2020
How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for
  Token-level Evaluation Metrics
How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation Metrics
Prasanna Parthasarathi
Joelle Pineau
Sarath Chandar
71
6
0
24 Aug 2020
Are Neural Open-Domain Dialog Systems Robust to Speech Recognition
  Errors in the Dialog History? An Empirical Study
Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study
Karthik Gopalakrishnan
Behnam Hedayatnia
Longshaokan Wang
Yang Liu
Dilek Z. Hakkani-Tür
51
24
0
18 Aug 2020
Ranking Enhanced Dialogue Generation
Ranking Enhanced Dialogue Generation
Changying Hao
Liang Pang
Yanyan Lan
Fei Sun
Jiafeng Guo
Xueqi Cheng
25
3
0
13 Aug 2020
Which Kind Is Better in Open-domain Multi-turn Dialog,Hierarchical or
  Non-hierarchical Models? An Empirical Study
Which Kind Is Better in Open-domain Multi-turn Dialog,Hierarchical or Non-hierarchical Models? An Empirical Study
Tian Lan
Xian-Ling Mao
Wei Wei
Heyan Huang
66
3
0
07 Aug 2020
Probing Neural Dialog Models for Conversational Understanding
Probing Neural Dialog Models for Conversational Understanding
Abdelrhman Saleh
Tovly Deutsch
Stephen Casper
Yonatan Belinkov
Stuart M. Shieber
65
13
0
07 Jun 2020
Multi-scale Transformer Language Models
Multi-scale Transformer Language Models
Sandeep Subramanian
R. Collobert
MarcÁurelio Ranzato
Y-Lan Boureau
58
13
0
01 May 2020
Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks
Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks
Tasnim Mohiuddin
Prathyusha Jwalapuram
Xiang Lin
Shafiq Joty
OffRL
29
7
0
30 Apr 2020
Learning a Simple and Effective Model for Multi-turn Response Generation
  with Auxiliary Tasks
Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks
Yufan Zhao
Can Xu
Wei Wu
Lei Yu
86
28
0
04 Apr 2020
Dialogue history integration into end-to-end signal-to-concept spoken
  language understanding systems
Dialogue history integration into end-to-end signal-to-concept spoken language understanding systems
N. Tomashenko
C. Raymond
Antoine Caubrière
R. Mori
Yannick Esteve
84
15
0
14 Feb 2020
Corpus-Level End-to-End Exploration for Interactive Systems
Corpus-Level End-to-End Exploration for Interactive Systems
Zhiwen Tang
G. Yang
LLMAG
41
4
0
23 Nov 2019
Assessing the Benchmarking Capacity of Machine Reading Comprehension
  Datasets
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets
Saku Sugawara
Pontus Stenetorp
Kentaro Inui
Akiko Aizawa
71
86
0
21 Nov 2019
An Annotated Corpus of Reference Resolution for Interpreting Common
  Grounding
An Annotated Corpus of Reference Resolution for Interpreting Common Grounding
Takuma Udagawa
Akiko Aizawa
49
10
0
18 Nov 2019
Adversarial NLI: A New Benchmark for Natural Language Understanding
Adversarial NLI: A New Benchmark for Natural Language Understanding
Yixin Nie
Adina Williams
Emily Dinan
Joey Tianyi Zhou
Jason Weston
Douwe Kiela
183
1,013
0
31 Oct 2019
What does BERT Learn from Multiple-Choice Reading Comprehension
  Datasets?
What does BERT Learn from Multiple-Choice Reading Comprehension Datasets?
Chenglei Si
Shuohang Wang
Min-Yen Kan
Jing Jiang
88
53
0
28 Oct 2019
Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue
  Response Models
Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models
Tianxing He
Jun Liu
Kyunghyun Cho
Myle Ott
Bing-Quan Liu
James R. Glass
Fuchun Peng
CLL
100
9
0
16 Oct 2019
An Empirical Study of Content Understanding in Conversational Question
  Answering
An Empirical Study of Content Understanding in Conversational Question Answering
Ting-Rui Chiang
Hao-Tong Ye
Yun-Nung Chen
ELM
67
8
0
24 Sep 2019
Hierarchical Reinforcement Learning for Open-Domain Dialog
Hierarchical Reinforcement Learning for Open-Domain Dialog
Abdelrhman Saleh
Natasha Jaques
Asma Ghandeharioun
J. Shen
Rosalind W. Picard
OffRL
86
59
0
17 Sep 2019
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