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SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning
This paper introduces the SemEval-2021 shared task 4: Reading Comprehens...
05/31/2021 ∙ by Boyuan Zheng, et al. ∙
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Emotion-Regularized Conditional Variational Autoencoder for Emotional Response Generation
This paper presents an emotion-regularized conditional variational autoe...
04/18/2021 ∙ by Yu-Ping Ruan, et al. ∙
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Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems
The NOESIS II challenge, as the Track 2 of the 8th Dialogue System Techn...
04/04/2020 ∙ by Jia-Chen Gu, et al. ∙
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Fine-Tuning BERT for Schema-Guided Zero-Shot Dialogue State Tracking
We present our work on Track 4 in the Dialogue System Technology Challen...
02/01/2020 ∙ by Yu-Ping Ruan, et al. ∙
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Condition-Transforming Variational AutoEncoder for Conversation Response Generation
This paper proposes a new model, called condition-transforming variation...
04/24/2019 ∙ by Yu-Ping Ruan, et al. ∙
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Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge
Winograd Schema Challenge (WSC) was proposed as an AI-hard problem in te...
04/22/2019 ∙ by Yu-Ping Ruan, et al. ∙
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Promoting Diversity for End-to-End Conversation Response Generation
We present our work on Track 2 in the Dialog System Technology Challenge...
01/27/2019 ∙ by Yu-Ping Ruan, et al. ∙
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Building Sequential Inference Models for End-to-End Response Selection
This paper presents an end-to-end response selection model for Track 1 o...
12/03/2018 ∙ by Jia-Chen Gu, et al. ∙
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A Sequential Neural Encoder with Latent Structured Description for Modeling Sentences
In this paper, we propose a sequential neural encoder with latent struct...
11/15/2017 ∙ by Yu-Ping Ruan, et al. ∙
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