most citedInstance-based Learning for Knowledge Base Completion

4 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD20222 cited

MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning

Yizhi Li, Ruibin Yuan, Ge Zhang +11

The deep learning community has witnessed an exponentially growing interest in self-supervised learning (SSL). However, it still remains unexplored how to build a framework for lea…

cs.AI20224 cited

Instance-based Learning for Knowledge Base Completion

Wanyun Cui, Xingran Chen

In this paper, we propose a new method for knowledge base completion (KBC): instance-based learning (IBL). For example, to answer (Jill Biden, lived city,? ), instead of going dire…

cs.CL20221 cited

1Cademy @ Causal News Corpus 2022: Leveraging Self-Training in Causality Classification of Socio-Political Event Data

Adam Nik, Ge Zhang, Xingran Chen +2

This paper details our participation in the Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE) workshop @ EMNLP 2022, where we take part…

cs.CL20221 cited

1Cademy @ Causal News Corpus 2022: Enhance Causal Span Detection via Beam-Search-based Position Selector

Xingran Chen, Ge Zhang, Adam Nik +2

In this paper, we present our approach and empirical observations for Cause-Effect Signal Span Detection -- Subtask 2 of Shared task 3~\cite{tan-etal-2022-event} at CASE 2022. The…

cs.CL2021

Open Rule Induction

Wanyun Cui, Xingran Chen

Rules have a number of desirable properties. It is easy to understand, infer new knowledge, and communicate with other inference systems. One weakness of the previous rule inductio…