Ming-Shun Lin


pdf bib
Analysis of Intention in Dialogues Using Category Trees and Its Application to Advertisement Recommendation
Hung-Chi Huang | Hsin-Hsi Chen | Ming-Shun Lin
Proceedings of the Third International Joint Conference on Natural Language Processing: Volume-II


pdf bib
Novel Association Measures Using Web Search with Double Checking
Hsin-Hsi Chen | Ming-Shun Lin | Yu-Chuan Wei
Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics

pdf bib
An Approach to Using the Web as a Live Corpus for Spoken Transliteration Name Access
Ming-Shun Lin | Chia-Ping Chen | Hsin-Hsi Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 11, Number 3, September 2006: Special Issue on Selected Papers from ROCLING XVII

pdf bib
Constructing a Named Entity Ontology from Web Corpora
Ming-Shun Lin | Hsin-Hsi Chen
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

This paper proposes a named entity (NE) ontology generation engine, called XNE-Tree engine, which produces relational named entities by given a seed. The engine incrementally extracts high co-occurring named entities with the seed by using a common search engine. In each iterative step, the seed will be replaced by its siblings or descendants, which form new seeds. In this way, XNE-Tree engine will build a tree structure with the original seed as a root incrementally. Two seeds, Chinese transliteration names of Nicole Kidman (a famous actress) and Ernest Hemingway (a famous writer), are experimented to evaluate the performance of the XNE-Tree.¡@¡@For test the applicability of the ontology, we employ it to a phoneme-character conversion system, which convert input phoneme syllable sequences to text strings. Total 100 Chinese transliteration names, including 50 person names and 50 location names are used as test data. We derive an ontology composed of 7,642 named entities. The results of phoneme-character conversion show that both the recall rate and the MRR are improved from 0.79 and 0.50 to 0.84 to 0.55, respectively.


pdf bib
An Approach of Using the Web as a Live Corpus for Spoken Transliteration Name Access
Ming-Shun Lin | Chia-Ping Chen | Hsin-Hsi Chen
Proceedings of the 17th Conference on Computational Linguistics and Speech Processing


pdf bib
音框同步之雜訊補償方法在汽車語音辨識之應用 (Frame Synchronous Noise Compensation for Car Speech Recognition) [In Chinese]
Jen-Tzung Chien | Ming-Shun Lin
Proceedings of Research on Computational Linguistics Conference XII