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Diversifying Dialog Generation via Adaptive Label Smoothing
2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
unpublished
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Although existing approaches such as label smoothing can alleviate this issue, they fail to adapt to diverse dialog contexts. ...
In this paper, we propose an Adaptive Label Smoothing (AdaLabel) approach that can adaptively estimate a target label distribution at each time step for different contexts. ...
We demonstrate the hard target, label smoothing, and Adaptive Label Smoothing approach when learning to predict the next word ("human"). ...
doi:10.18653/v1/2021.acl-long.272
fatcat:t6ksc2drqre2hgt4dmi6xkayq4
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
[article]
2017
arXiv
pre-print
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While recent neural encoder-decoder models have shown great promise in modeling open-domain conversations, they often generate dull and generic responses. ...
Unlike past work that has focused on diversifying the output of the decoder at word-level to alleviate this problem, we present a novel framework based on conditional variational autoencoders that captures ...
Inspired by CVAE, we view the dialog contexts as the conditional attributes and adapt CVAE to generate diverse responses instead of images. ...
arXiv:1703.10960v3
fatcat:eonwpha6rbfbnczrxw5kbg6zmi
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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While recent neural encoder-decoder models have shown great promise in modeling open-domain conversations, they often generate dull and generic responses. ...
Unlike past work that has focused on diversifying the output of the decoder at word-level to alleviate this problem, we present a novel framework based on conditional variational autoencoders that captures ...
Inspired by CVAE, we view the dialog contexts as the conditional attributes and adapt CVAE to generate diverse responses instead of images. ...
doi:10.18653/v1/p17-1061
dblp:conf/acl/ZhaoZE17
fatcat:xk3tee3k6faddj2ous37qulwyq
Big Data Stream Analytics for Near Real-Time Sentiment Analysis
2015
Journal of Computer and Communications
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In the era of big data, huge volumes of data are generated from online social networks, sensor networks, mobile devices, and organizations' enterprise systems. ...
With Jelinek-Mercer smoothing [13] , the probability of the document generating a query term t (i.e., nek-Mercer smoothing parameter [13] . ...
For instance, a consumer may connect to other consumers via a social network. ...
doi:10.4236/jcc.2015.35024
fatcat:hibfywzdavd7vo6tiav7xfyopq
Building A User-Centric and Content-Driven Socialbot
[article]
2020
arXiv
pre-print
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, and a language generation process that realizes the response plan and makes adjustments for speech synthesis. ...
The architecture consists of a multi-dimensional language understanding module for analyzing user utterances, a hierarchical dialog management framework for dialog context tracking and complex dialog control ...
, and smoothness. ...
arXiv:2005.02623v1
fatcat:oxsgfakzbzb7njqgfileddlsry
Conditional Text Generation for Harmonious Human-Machine Interaction
[article]
2020
arXiv
pre-print
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2019 pre-print arXiv:1909.03409v1 fatcat:qec2obfxgngwhcadd4xiynupwq
text generation, personalized text generation, and so on. ...
The automatically generated text is becoming more and more fluent so researchers begin to consider more anthropomorphic text generation technology, that is the conditional text generation, including emotional ...
CONCLUSION We have made a systematic review of the research trends of conditional text generation (c-TextGen). ...
arXiv:1909.03409v2
fatcat:s2zfmwxtubgwjks4luoby6vdoq
Video Clip and Artiste's Image as Tools of the Song Hit's Mediavirus Action Strengthening (Based on the Ukrainian and Russian Compositions of Late 20th – Early 21st Centuries)
2019
Bulletin of Kyiv National University of Culture and Arts. Series in Musical Art
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Razzakov's cites a dialog between A. Pugacheva and A. ...
Our study's historical framework (the late 20th -the early 21th centuries) reflects the various stages of the viral component's adaptation in the song hit. ...
doi:10.31866/2616-7581.2.1.2019.171792
fatcat:qkq2643k7neszbqfn5djzobasm
ZOE
2015
Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services - MobiSys '15
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Crucially, and unlike other rich-sensing or dialog supporting wearables, ZOE achieves this without cloud or smartphone support -this has important side-effects for privacy since all user information can ...
key aspects of everyday life (viz. personal, social and place information) on continuously sensed data; while also offering this data not only within conventional analytics but also through a speech dialog ...
Our dialog system is a composite of code adapted from three open-source projects. ...
doi:10.1145/2742647.2742672
dblp:conf/mobisys/LaneGMG15
fatcat:wkfkgrccbzhohf4z6hvyr3z7qq
News, Trends and Comments
1984
Information Services and Use
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One approach which could rescue the home market is the trend toward adapting the technology in such a way that a user may access a videotex service via his microcomputer -rather than exclusively via a ...
We might note that the LC information is to a large extent already available online -via DIALOG -in the form of the LC MARC and REMARC data bases, the latter produced by Carrollton Press (a subsidiary ...
doi:10.3233/isu-1984-4608
fatcat:25zrrp42qzbifmcuphdq352gom
Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight
[article]
2020
arXiv
pre-print
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Extensive experiments show that our framework can improve the dialogue generation performance with respect to various automatic evaluation metrics and human judgments. ...
It not only manipulates training samples to optimize the dialogue generation model, but also learns to increase its manipulation skills through gradient descent with validation samples. ...
This work is supported by the National Natural Science Foundation of China-Joint Fund for Ba-sic Research of General Technology under Grant U1836111 and U1736106. ...
arXiv:2004.02594v5
fatcat:yxg4fizbgndubh6y62q4sigagy
Evaluating embodied conversational agents in multimodal interfaces
2015
Computational Cognitive Science
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The SUS questionnaire also offers rather generic questions, which might be adaptable to ECAs (Brooke 1996) . However, there are instrumental means to assess the cognitive load. ...
Moraes and Silveira (2006) updated and adapted this set first to the evaluation of animated agents in general and later to the evaluation of pedagogical agents in particular (Moraes and Silveira 2009) ...
doi:10.1186/s40469-015-0006-9
fatcat:3qgvabqeffbwzlx3smclvs4f4u
Natural Language Generation with Neural Variational Models
[article]
2018
arXiv
pre-print
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In this thesis, we explore the use of deep neural networks for generation of natural language. ...
VAEs for text generation are difficult to train due to issues associated with the Kullback-Leibler (KL) divergence term of the loss function vanishing to zero. ...
With empirical results on two tasks -question generation and dialog systems, we show that variational attention yields more diversified samples while retaining high quality. ...
arXiv:1808.09012v1
fatcat:2s5l5k5cr5bg3oqzvpbb5yt3zi
Finding Your Voice: The Linguistic Development of Mental Health Counselors
2019
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
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this general vocabulary. ...
Future work could adapt our framework to examine more complex forms of conversational development. ...
doi:10.18653/v1/p19-1089
dblp:conf/acl/ZhangFMWD19
fatcat:bz43uh3vu5gehoanih7dq5i6hy
On the Generation of Medical Question-Answer Pairs
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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In the light of these challenges, we study the task of generating medical QA pairs in this paper. ...
Further investigation shows that, by incorporating the generated QA pairs for training, significant improvement in terms of accuracy can be achieved for the examination QA system. 1 ...
Conditional Variational Autoencoder Motivated by (Serban et al. 2017) , we adapt the original CVAE for dialog generation to our setting by considering question generation as an iterative phrase generation ...
doi:10.1609/aaai.v34i05.6410
fatcat:uay5k4maczabvoksvccrvln4tm
On the Generation of Medical Question-Answer Pairs
[article]
2019
arXiv
pre-print
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In the light of these challenges, we study the task of generating medical QA pairs in this paper. ...
Further investigation shows that, by incorporating the generated QA pairs for training, significant improvement in terms of accuracy can be achieved for the examination QA system. ...
Conditional Variational Autoencoder Motivated by (Serban et al. 2017) , we adapt the original CVAE for dialog generation to our setting by considering question generation as an iterative phrase generation ...
arXiv:1811.00681v2
fatcat:z67vwse34vakbdur3tqdclh4d4
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