203 citations · 1k across the 101 of their papers we have counts for
20 papers · 1 filter
Ranking Users in Social Networks with Motif-based PageRank
Huan Zhao, Xiaogang Xu, Yangqiu Song +3
PageRank has been widely used to measure the authority or the influence of a user in social networks. However, conventional PageRank only makes use of edge-based relations, which r…
Neural Subgraph Isomorphism Counting
Xin Liu, Haojie Pan, Mutian He +3
In this paper, we study a new graph learning problem: learning to count subgraph isomorphisms. Different from other traditional graph learning problems such as node classification…
RWNE: A Scalable Random-Walk-Based Network Embedding Framework with Personalized Higher-Order Proximity Preserved
Jianxin Li, Cheng Ji, Hao Peng +4
Higher-order proximity preserved network embedding has attracted increasing attention. In particular, due to the superior scalability, random-walk-based network embedding has also…
Improving Fine-grained Entity Typing with Entity Linking
Hongliang Dai, Donghong Du, Xin Li +1
Fine-grained entity typing is a challenging problem since it usually involves a relatively large tag set and may require to understand the context of the entity mention. In this pa…
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding
Yu He, Yangqiu Song, Jianxin Li +3
Heterogeneous information network (HIN) embedding has gained increasing interests recently. However, the current way of random-walk based HIN embedding methods have paid few attent…
What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues
Xintong Yu, Hongming Zhang, Yangqiu Song +2
Grounding a pronoun to a visual object it refers to requires complex reasoning from various information sources, especially in conversational scenarios. For example, when people in…
Multilingual and Multi-Aspect Hate Speech Analysis
Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang +2
Current research on hate speech analysis is typically oriented towards monolingual and single classification tasks. In this paper, we present a new multilingual multi-aspect hate s…
Motif Enhanced Recommendation over Heterogeneous Information Network
Huan Zhao, Yingqi Zhou, Yangqiu Song +1
Heterogeneous Information Networks (HIN) has been widely used in recommender systems (RSs). In previous HIN-based RSs, meta-path is used to compute the similarity between users and…
Hyper-Path-Based Representation Learning for Hyper-Networks
Jie Huang, Xin Liu, Yangqiu Song
Network representation learning has aroused widespread interests in recent years. While most of the existing methods deal with edges as pairwise relationships, only a few studies h…
Knowledge-aware Pronoun Coreference Resolution
Hongming Zhang, Yan Song, Yangqiu Song +1
Resolving pronoun coreference requires knowledge support, especially for particular domains (e.g., medicine). In this paper, we explore how to leverage different types of knowledge…
Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision
Hongliang Dai, Yangqiu Song
Lack of labeled training data is a major bottleneck for neural network based aspect and opinion term extraction on product reviews. To alleviate this problem, we first propose an a…
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction
Wenyi Xiao, Huan Zhao, Haojie Pan +3
An effective content recommendation in modern social media platforms should benefit both creators to bring genuine benefits to them and consumers to help them get really interestin…
Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks
Hao Peng, Jianxin Li, Qiran Gong +4
Events are happening in real-world and real-time, which can be planned and organized occasions involving multiple people and objects. Social media platforms publish a lot of text m…
Incorporating Context and External Knowledge for Pronoun Coreference Resolution
Hongming Zhang, Yan Song, Yangqiu Song
Linking pronominal expressions to the correct references requires, in many cases, better analysis of the contextual information and external knowledge. In this paper, we propose a…
SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition
Hongming Zhang, Hantian Ding, Yangqiu Song
Selectional Preference (SP) is a commonly observed language phenomenon and proved to be useful in many natural language processing tasks. To provide a better evaluation method for…
ASER: A Large-scale Eventuality Knowledge Graph
Hongming Zhang, Xin Liu, Haojie Pan +2
Understanding human's language requires complex world knowledge. However, existing large-scale knowledge graphs mainly focus on knowledge about entities while ignoring knowledge ab…
Relation Discovery with Out-of-Relation Knowledge Base as Supervision
Yan Liang, Xin Liu, Jianwen Zhang +1
Unsupervised relation discovery aims to discover new relations from a given text corpus without annotated data. However, it does not consider existing human annotated knowledge bas…
A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification
Ziqian Zeng, Wenxuan Zhou, Xin Liu +1
In this paper, we propose a variational approach to weakly supervised document-level multi-aspect sentiment classification. Instead of using user-generated ratings or annotations p…
KBQA: Learning Question Answering over QA Corpora and Knowledge Bases
Wanyun Cui, Yanghua Xiao, Haixun Wang +3
Question answering (QA) has become a popular way for humans to access billion-scale knowledge bases. Unlike web search, QA over a knowledge base gives out accurate and concise resu…
Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification
Huiru Xiao, Xin Liu, Yangqiu Song
Hierarchical text classification has many real-world applications. However, labeling a large number of documents is costly. In practice, we can use semi-supervised learning or weak…