61 citations · 90 across the 3 of their papers we have counts for
3 papers
cs.AI2016★ 13 cited
Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge
Quan Liu, Hui Jiang, Zhen-Hua Ling +3
In this paper, we propose commonsense knowledge enhanced embeddings (KEE) for solving the Pronoun Disambiguation Problems (PDP). The PDP task we investigate in this paper is a comp…
cs.CL2016★ 16 cited
Neural Networks Models for Entity Discovery and Linking
Dan Liu, Wei Lin, Shiliang Zhang +2
This paper describes the USTC_NELSLIP systems submitted to the Trilingual Entity Detection and Linking (EDL) track in 2016 TAC Knowledge Base Population (KBP) contests. We have bui…
cs.CL2016★ 61 cited
Distraction-Based Neural Networks for Document Summarization
Qian Chen, Xiaodan Zhu, Zhenhua Ling +2
Distributed representation learned with neural networks has recently shown to be effective in modeling natural languages at fine granularities such as words, phrases, and even sent…