61 citations · 235 across the 16 of their papers we have counts for
5 papers · 2 filters
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…
A FOFE-based Local Detection Approach for Named Entity Recognition and Mention Detection
Mingbin Xu, Hui Jiang
In this paper, we study a novel approach for named entity recognition (NER) and mention detection in natural language processing. Instead of treating NER as a sequence labelling pr…
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…
Enhanced LSTM for Natural Language Inference
Qian Chen, Xiaodan Zhu, Zhenhua Ling +3
Reasoning and inference are central to human and artificial intelligence. Modeling inference in human language is very challenging. With the availability of large annotated data (B…
Part-of-Speech Relevance Weights for Learning Word Embeddings
Quan Liu, Zhen-Hua Ling, Hui Jiang +1
This paper proposes a model to learn word embeddings with weighted contexts based on part-of-speech (POS) relevance weights. POS is a fundamental element in natural language. Howev…