Wanxiang Che

Publication List Details

Period

2006 - 2009

Number

7

Co-Authors

HIT-IR-WSD: A WSD System for English Lexical Sample Task (2009)

Yuhang Guo, Wanxiang Che, Yuxuan Hu, Wei Zhang, Ting Liu

HIT-IR-WSD is a word sense disambiguation (WSD) system developed for English lexical sample task (Task 11) of Semeval

A Grammar-driven Convolution Tree Kernel for Semantic Role Classification (2009)

Min Zhang, Wanxiang Che, Ai Ti, Aw Chew, Lim Tan, Guodong Zhou, ...

Convolution tree kernel has shown promising results in semantic role classification. However, it only carries out hard matching, which may lead to over-fitting and less accurate similarity measure....

A New Chinese Natural Language Understanding Architecture Based on Multilayer Search Mechanism (2008)

Wanxiang Che, Ting Liu, Sheng Li

A classical Chinese Natural Language Understanding (NLU) architecture usually includes several NLU components which are executed with some mechanism. A new Multilayer Search Mechanism (MSM) which...

A Grammar-driven Convolution Tree Kernel for Semantic Role Classification (2008)

Min Zhang, Wanxiang Che, Ai Ti, Aw Chew, Lim Tan, Guodong Zhou, ...

Convolution tree kernel has shown promising results in semantic role classification. However, it only carries out hard matching, which may lead to over-fitting and less accurate similarity measure....

Semantic Role Lableing System using Maximum Entropy Classifier ∗ (2008)

Ting Liu, Wanxiang Che, Sheng Li, Yuxuan Hu, Huaijun Liu

A maximum entropy classifier is used in our semantic role labeling system, which takes syntactic constituents as the labeling units. The maximum entropy classifier is trained to identify and classify...

A hybrid convolution tree kernel for semantic role labeling (2006)

Wanxiang Che

A hybrid convolution tree kernel is proposed in this paper to effectively model syntactic structures for semantic role labeling (SRL). The hybrid kernel consists of two individual convolution...

A hybrid convolution tree kernel for semantic role labeling (2006)

Wanxiang Che

A hybrid convolution tree kernel is proposed in this paper to effectively model syntactic structures for semantic role labeling (SRL). The hybrid kernel consists of two individual convolution...