activity
20172020
most citedMEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension

67 citations · 78 across the 6 of their papers we have counts for

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Showing cs.CLShow all

7 papers · 1 filter

cs.CL2020

Adversarial Mutual Information for Text Generation

Boyuan Pan, Yazheng Yang, Kaizhao Liang +5

Recent advances in maximizing mutual information (MI) between the source and target have demonstrated its effectiveness in text generation. However, previous works paid little atte…

cs.CL20208 cited

Towards Evaluating the Robustness of Chinese BERT Classifiers

Boxin Wang, Boyuan Pan, Xin Li +1

Recent advances in large-scale language representation models such as BERT have improved the state-of-the-art performances in many NLP tasks. Meanwhile, character-level Chinese NLP…

cs.CL2020

Bi-Decoder Augmented Network for Neural Machine Translation

Boyuan Pan, Yazheng Yang, Zhou Zhao +2

Neural Machine Translation (NMT) has become a popular technology in recent years, and the encoder-decoder framework is the mainstream among all the methods. It's obvious that the q…

cs.CL2019

Reinforced Dynamic Reasoning for Conversational Question Generation

Boyuan Pan, Hao Li, Ziyu Yao +2

This paper investigates a new task named Conversational Question Generation (CQG) which is to generate a question based on a passage and a conversation history (i.e., previous turn…

cs.CL2019

MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models

Boyuan Pan, Yazheng Yang, Hao Li +4

Machine Comprehension (MC) is one of the core problems in natural language processing, requiring both understanding of the natural language and knowledge about the world. Rapid pro…

cs.CL20191 cited

Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference

Boyuan Pan, Yazheng Yang, Zhou Zhao +3

Natural Language Inference (NLI), also known as Recognizing Textual Entailment (RTE), is one of the most important problems in natural language processing. It requires to infer the…