activity
20172023
most citedLow-Resource Knowledge-Grounded Dialogue Generation

84 citations · 122 across the 11 of their papers we have counts for

collaborators
Showing 2019Show all

7 papers · 1 filter

cs.CL2019

Coreference Resolution as Query-based Span Prediction

Wei Wu, Fei Wang, Arianna Yuan +2

In this paper, we present an accurate and extensible approach for the coreference resolution task. We formulate the problem as a span prediction task, like in machine reading compr…

cs.CL20191 cited

Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation

Ze Yang, Can Xu, Wei Wu +1

Automatic news comment generation is a new testbed for techniques of natural language generation. In this paper, we propose a "read-attend-comment" procedure for news comment gener…

cs.CL2019

Low-Resource Response Generation with Template Prior

Ze Yang, Wei Wu, Jian Yang +2

We study open domain response generation with limited message-response pairs. The problem exists in real-world applications but is less explored by the existing work. Since the pai…

cs.CL20196 cited

Neural Response Generation with Meta-Words

Can Xu, Wei Wu, Chongyang Tao +3

We present open domain response generation with meta-words. A meta-word is a structured record that describes various attributes of a response, and thus allows us to explicitly mod…

cs.CL20197 cited

Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems

Jiazhan Feng, Chongyang Tao, Wei Wu +3

We study learning of a matching model for response selection in retrieval-based dialogue systems. The problem is equally important with designing the architecture of a model, but i…

cs.CL20195 cited

A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots

Xueliang Zhao, Chongyang Tao, Wei Wu +3

We present a document-grounded matching network (DGMN) for response selection that can power a knowledge-aware retrieval-based chatbot system. The challenges of building such a mod…