Wei-Hao Lin


2008

pdf bib
Vox Populi Annotation: Measuring Intensity of Ideological Perspectives by Aggregating Group Judgments
Wei-Hao Lin | Alexander Hauptmann
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

Polarizing discussions about political and social issues are common in mass media. Annotations on the degree to which a sentence expresses an ideological perspective can be valuable for evaluating computer programs that can automatically identify strongly biased sentences, but such annotations remain scarce. We annotated the intensity of ideological perspectives expressed in 250 sentences by aggregating judgments from 18 annotators. We proposed methods of determining the number of annotators and assessing reliability, and showed the annotations were highly consistent across different annotator groups.

2006

pdf bib
Identifying Perspectives at the Document and Sentence Levels Using Statistical Models
Wei-Hao Lin
Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Doctoral Consortium

pdf bib
Are These Documents Written from Different Perspectives? A Test of Different Perspectives Based on Statistical Distribution Divergence
Wei-Hao Lin | Alexander Hauptmann
Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics

pdf bib
Which Side are You on? Identifying Perspectives at the Document and Sentence Levels
Wei-Hao Lin | Theresa Wilson | Janyce Wiebe | Alexander Hauptmann
Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X)

2002

pdf bib
Backward Machine Transliteration by Learning Phonetic Similarity
Wei-Hao Lin | Hsin-Hsi Chen
COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002)

2000

pdf bib
反向異文字音譯相似度評量方法與跨語言資訊檢索 (Similarity Measure in Backward Transliteration between Different Character Sets and Its Application to CLIR) [In Chinese]
Wei-Hao Lin | Hsin-Hsi Chen
Proceedings of Research on Computational Linguistics Conference XIII