Iulian Serban

According to our database1, Iulian Serban authored at least 27 papers between 2015 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version.
D&D, 2018

The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach.
CoRR, 2018

A Deep Reinforcement Learning Chatbot (Short Version).
CoRR, 2018

2017
Training End-to-End Dialogue Systems with the Ubuntu Dialogue Corpus.
D&D, 2017

A Deep Reinforcement Learning Chatbot.
CoRR, 2017

Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses.
CoRR, 2017

Piecewise Latent Variables for Neural Variational Text Processing.
Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, 2017

Piecewise Latent Variables for Neural Variational Text Processing.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues.
CoRR, 2016

Multi-modal Variational Encoder-Decoders.
CoRR, 2016

Generative Deep Neural Networks for Dialogue: A Short Review.
CoRR, 2016

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation.
CoRR, 2016

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus.
CoRR, 2016

On the Evaluation of Dialogue Systems with Next Utterance Classification.
CoRR, 2016

How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation.
CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

On the Evaluation of Dialogue Systems with Next Utterance Classification.
Proceedings of the SIGDIAL 2016 Conference, 2016

How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Hierarchical Neural Network Generative Models for Movie Dialogues.
CoRR, 2015

A Survey of Available Corpora for Building Data-Driven Dialogue Systems.
CoRR, 2015

The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems.
CoRR, 2015

The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems.
Proceedings of the SIGDIAL 2015 Conference, 2015


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