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Asian and Low-Resource Language Information Processing (TALLIP)

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ACM Transactions on Asian Language Information Processing (TALIP), Volume 10 Issue 3, September 2011

Introduction to the Special Issue on Chinese Language Processing
Keh-Jiann Chen, Qun Liu, Nianwen Xue, Le Sun
Article No.: 11
DOI: 10.1145/2002980.2002981

Automatic Treebank Conversion via Informed Decoding - A Case Study on Chinese Treebanks
Muhua Zhu, Jingbo Zhu, Tong Xiao
Article No.: 12
DOI: 10.1145/2002980.2002982

Treebanks are valuable resources for syntactic parsing. For some languages such as Chinese, we can obtain multiple constituency treebanks which are developed by different organizations. However, due to discrepancies of underlying annotation...

Unified Semantic Role Labeling for Verbal and Nominal Predicates in the Chinese Language
Junhui Li, Guodong Zhou
Article No.: 13
DOI: 10.1145/2002980.2002983

This article explores unified semantic role labeling (SRL) for both verbal and nominal predicates in the Chinese language. This is done by considering SRL for both verbal and nominal predicates in a unified framework. First, we systematically...

Developing Position Structure-Based Framework for Chinese Entity Relation Extraction
Peng Zhang, Wenjie Li, Yuexian Hou, Dawei Song
Article No.: 14
DOI: 10.1145/2002980.2002984

Relation extraction is the task of finding semantic relations between two entities in text, and is often cast as a classification problem. In contrast to the significant achievements on English language, research progress in Chinese relation...

Employing Constituent Dependency Information for Tree Kernel-Based Semantic Relation Extraction between Named Entities
Longhua Qian, Guodong Zhou, Qiaoming Zhu
Article No.: 15
DOI: 10.1145/2002980.2002985

This article proposes a new approach to dynamically determine the tree span for tree kernel-based semantic relation extraction between named entities. The basic idea is to employ constituent dependency information in keeping the necessary nodes...

Using Sublexical Translations to Handle the OOV Problem in Machine Translation
Chung-Chi Huang, Ho-Ching Yen, Ping-Che Yang, Shih-Ting Huang, Jason S. Chang
Article No.: 16
DOI: 10.1145/2002980.2002986

We introduce a method for learning to translate out-of-vocabulary (OOV) words. The method focuses on combining sublexical/constituent translations of an OOV to generate its translation candidates. In our approach, wildcard searches are formulated...