Haibo Li


2014

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Comparison of the Impact of Word Segmentation on Name Tagging for Chinese and Japanese
Haibo Li | Masato Hagiwara | Qi Li | Heng Ji
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

Word Segmentation is usually considered an essential step for many Chinese and Japanese Natural Language Processing tasks, such as name tagging. This paper presents several new observations and analysis on the impact of word segmentation on name tagging; (1). Due to the limitation of current state-of-the-art Chinese word segmentation performance, a character-based name tagger can outperform its word-based counterparts for Chinese but not for Japanese; (2). It is crucial to keep segmentation settings (e.g. definitions, specifications, methods) consistent between training and testing for name tagging; (3). As long as (2) is ensured, the performance of word segmentation does not have appreciable impact on Chinese and Japanese name tagging.

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Cross-media Cross-genre Information Ranking based on Multi-media Information Networks
Tongtao Zhang | Haibo Li | Hongzhao Huang | Heng Ji | Min-Hsuan Tsai | Shen-Fu Tsai | Thomas Huang
Proceedings of the Third Workshop on Vision and Language

2013

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Name-aware Machine Translation
Haibo Li | Jing Zheng | Heng Ji | Qi Li | Wen Wang
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)