most citedLearning Entity Linking Features for Emerging Entities

4 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2022★ 2 cited

Joint Open Knowledge Base Canonicalization and Linking

Yinan Liu, Wei Shen, Yuanfei Wang +3

Open Information Extraction (OIE) methods extract a large number of OIE triples (noun phrase, relation phrase, noun phrase) from text, which compose large Open Knowledge Bases (OKB…

cs.AI2022★ 1 cited

Low-resource Personal Attribute Prediction from Conversation

Yinan Liu, Hu Chen, Wei Shen +1

Personal knowledge bases (PKBs) are crucial for a broad range of applications such as personalized recommendation and Web-based chatbots. A critical challenge to build PKBs is extr…

cs.CL2022

Personal Attribute Prediction from Conversations

Yinan Liu, Hu Chen, Wei Shen

Personal knowledge bases (PKBs) are critical to many applications, such as Web-based chatbots and personalized recommendation. Conversations containing rich personal knowledge can…

cs.CL2022★ 4 cited

Learning Entity Linking Features for Emerging Entities

Chenwei Ran, Wei Shen, Jianbo Gao +3

Entity linking (EL) is the process of linking entity mentions appearing in text with their corresponding entities in a knowledge base. EL features of entities (e.g., prior probabil…

cs.CL2022

Multi-View Clustering for Open Knowledge Base Canonicalization

Wei Shen, Yang Yang, Yinan Liu

Open information extraction (OIE) methods extract plenty of OIE triples <noun phrase, relation phrase, noun phrase> from unstructured text, which compose large open knowledge bases…

cs.CL2022

Community Question Answering Entity Linking via Leveraging Auxiliary Data

Yuhan Li, Wei Shen, Jianbo Gao +1

Community Question Answering (CQA) platforms contain plenty of CQA texts (i.e., questions and answers corresponding to the question) where named entities appear ubiquitously. In th…