1.4k citations · 5.4k across the 120 of their papers we have counts for
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Neural Emoji Recommendation in Dialogue Systems
Ruobing Xie, Zhiyuan Liu, Rui Yan +1
Emoji is an essential component in dialogues which has been broadly utilized on almost all social platforms. It could express more delicate feelings beyond plain texts and thus smo…
Joint Representation Learning of Text and Knowledge for Knowledge Graph Completion
Xu Han, Zhiyuan Liu, Maosong Sun
Joint representation learning of text and knowledge within a unified semantic space enables us to perform knowledge graph completion more accurately. In this work, we propose a nov…
A Unified Framework for Community Detection and Network Representation Learning
Cunchao Tu, Xiangkai Zeng, Hao Wang +5
Network representation learning (NRL) aims to learn low-dimensional vectors for vertices in a network. Most existing NRL methods focus on learning representations from local contex…
Knowledge Representation via Joint Learning of Sequential Text and Knowledge Graphs
Jiawei Wu, Ruobing Xie, Zhiyuan Liu +1
Textual information is considered as significant supplement to knowledge representation learning (KRL). There are two main challenges for constructing knowledge representations fro…
Incorporating Relation Paths in Neural Relation Extraction
Wenyuan Zeng, Yankai Lin, Zhiyuan Liu +1
Distantly supervised relation extraction has been widely used to find novel relational facts from plain text. To predict the relation between a pair of two target entities, existin…
Image-embodied Knowledge Representation Learning
Ruobing Xie, Zhiyuan Liu, Huanbo Luan +1
Entity images could provide significant visual information for knowledge representation learning. Most conventional methods learn knowledge representations merely from structured t…
A Neural Network Approach to Joint Modeling Social Networks and Mobile Trajectories
Cheng Yang, Maosong Sun, Wayne Xin Zhao +2
The accelerated growth of mobile trajectories in location-based services brings valuable data resources to understand users' moving behaviors. Apart from recording the trajectory d…
Neural Headline Generation with Sentence-wise Optimization
Ayana, Shiqi Shen, Yu Zhao +2
Recently, neural models have been proposed for headline generation by learning to map documents to headlines with recurrent neural networks. Nevertheless, as traditional neural net…