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Greatest papers with code

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers

20 Apr 2020ClovaAI/ClovaCall

Automatic speech recognition (ASR) via call is essential for various applications, including AI for contact center (AICC) services.

GOAL-ORIENTED DIALOG OPEN-DOMAIN DIALOG SPEECH RECOGNITION

Hierarchical Reinforcement Learning for Open-Domain Dialog

17 Sep 2019natashamjaques/neural_chat

Open-domain dialog generation is a challenging problem; maximum likelihood training can lead to repetitive outputs, models have difficulty tracking long-term conversational goals, and training on standard movie or online datasets may lead to the generation of inappropriate, biased, or offensive text.

HIERARCHICAL REINFORCEMENT LEARNING OPEN-DOMAIN DIALOG

Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

30 Jun 2019natashamjaques/neural_chat

Most deep reinforcement learning (RL) systems are not able to learn effectively from off-policy data, especially if they cannot explore online in the environment.

OPEN-DOMAIN DIALOG Q-LEARNING

Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems

NeurIPS 2019 natashamjaques/neural_chat

To investigate the strengths of this novel metric and interactive evaluation in comparison to state-of-the-art metrics and human evaluation of static conversations, we perform extended experiments with a set of models, including several that make novel improvements to recent hierarchical dialog generation architectures through sentiment and semantic knowledge distillation on the utterance level.

KNOWLEDGE DISTILLATION OPEN-DOMAIN DIALOG

USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation

ACL 2020 shikib/usr

The lack of meaningful automatic evaluation metrics for dialog has impeded open-domain dialog research.

OPEN-DOMAIN DIALOG TEXT GENERATION

Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References

WS 2019 prakharguptaz/multirefeval

The aim of this paper is to mitigate the shortcomings of automatic evaluation of open-domain dialog systems through multi-reference evaluation.

OPEN-DOMAIN DIALOG

Probing Neural Dialog Models for Conversational Understanding

WS 2020 AbdulSaleh/dialog-probing

The predominant approach to open-domain dialog generation relies on end-to-end training of neural models on chat datasets.

OPEN-DOMAIN DIALOG

Unsupervised Evaluation of Interactive Dialog with DialoGPT

23 Jun 2020shikib/fed

It is important to define meaningful and interpretable automatic evaluation metrics for open-domain dialog research.

OPEN-DOMAIN DIALOG TEXT GENERATION

Large-Scale Transfer Learning for Natural Language Generation

ACL 2019 atselousov/transformer_chatbot_experiments

Large-scale pretrained language models define state of the art in natural language processing, achieving outstanding performance on a variety of tasks.

OPEN-DOMAIN DIALOG TEXT GENERATION TRANSFER LEARNING