Meishan Zhang

SEE: Syntax-Aware Entity Embedding for Neural Relation Extraction

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Distant supervised relation extraction is an efficient approach to scale relation extraction to very large corpora, and has been widely used to find novel relational facts from plain text. Recent studies on neural relation extraction …

A Fine-Grained Domain Adaption Model for Joint Word Segmentation and POS Tagging

2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Domain adaption for word segmentation and POS tagging is a challenging problem for Chinese lexical processing. Self-training is one promising solution for it, which struggles to construct a set of high-quality pseudo training instances for …

Gated Neural Networks for Targeted Sentiment Analysis

2016 · Proceedings of the AAAI Conference on Artificial Intelligence

Targeted sentiment analysis classifies the sentiment polarity towards each target entity mention in given text documents. Seminal methods extract manual discrete features from automatic syntactic parse trees in order to capture semantic information of the …

End-to-End Neural Relation Extraction with Global Optimization

2017

Neural networks have shown promising results for relation extraction. State-ofthe-art models cast the task as an end-toend problem, solved incrementally using a local classifier. Yet previous work using statistical models have demonstrated that global optimization …