183 citations · 2.2k across the 143 of their papers we have counts for
10 papers · 1 filter
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues
Zhouxing Shi, Minlie Huang
Discourse structures are beneficial for various NLP tasks such as dialogue understanding, question answering, sentiment analysis, and so on. This paper presents a deep sequential m…
A Hierarchical Framework for Relation Extraction with Reinforcement Learning
Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu +1
Most existing methods determine relation types only after all the entities have been recognized, thus the interaction between relation types and entity mentions is not fully modele…
Relation Mention Extraction from Noisy Data with Hierarchical Reinforcement Learning
Jun Feng, Minlie Huang, Yijie Zhang +2
In this paper we address a task of relation mention extraction from noisy data: extracting representative phrases for a particular relation from noisy sentences that are collected…
Word Embedding based Edit Distance
Yilin Niu, Chao Qiao, Hang Li +1
Text similarity calculation is a fundamental problem in natural language processing and related fields. In recent years, deep neural networks have been developed to perform the tas…
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning
Jun Feng, Heng Li, Minlie Huang +4
Ranking is a fundamental and widely studied problem in scenarios such as search, advertising, and recommendation. However, joint optimization for multi-scenario ranking, which aims…
Reinforcement Learning for Relation Classification from Noisy Data
Jun Feng, Minlie Huang, Li Zhao +2
Existing relation classification methods that rely on distant supervision assume that a bag of sentences mentioning an entity pair are all describing a relation for the entity pair…
Story Ending Generation with Incremental Encoding and Commonsense Knowledge
Jian Guan, Yansen Wang, Minlie Huang
Generating a reasonable ending for a given story context, i.e., story ending generation, is a strong indication of story comprehension. This task requires not only to understand th…
Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders
Yansen Wang, Chenyi Liu, Minlie Huang +1
Asking good questions in large-scale, open-domain conversational systems is quite significant yet rather untouched. This task, substantially different from traditional question gen…
Memory-augmented Dialogue Management for Task-oriented Dialogue Systems
Zheng Zhang, Minlie Huang, Zhongzhou Zhao +3
Dialogue management (DM) decides the next action of a dialogue system according to the current dialogue state, and thus plays a central role in task-oriented dialogue systems. Sinc…
An Interpretable Reasoning Network for Multi-Relation Question Answering
Mantong Zhou, Minlie Huang, Xiaoyan Zhu
Multi-relation Question Answering is a challenging task, due to the requirement of elaborated analysis on questions and reasoning over multiple fact triples in knowledge base. In t…