Sciweavers

32 search results - page 2 / 7
» Learning to recognize valuable tags
Sort
View
FLAIRS
2007
13 years 7 months ago
Combining Machine Learning with Linguistic Heuristics for Chinese Word Segmentation
This paper describes a hybrid model that combines machine learning with linguistic heuristics for integrating unknown word identification with Chinese word segmentation. The model...
Xiaofei Lu
CICLING
2006
Springer
13 years 9 months ago
Predicting Dialogue Acts from Prosodic Information
In this paper, the influence of intonation to recognize dialogue acts from speech is assessed. Assessment is based on an empirical approach: manually tagged data from a spoken-dial...
Sergio Rafael Coria Olguin, Luis Alberto Pineda Co...
CIBCB
2006
IEEE
13 years 11 months ago
E2D: A Novel Tool for Annotating Protein Domains in Expressed Sequence Tags
The vast number of expressed sequence tags (ESTs) in public databases provides an important resource for comparative and functional genomics. A variety of methods based on homology...
Guo-Hsing Lee, Nai-Yu Chuang, Wen-Dar Lin, Chung-D...
CORR
1998
Springer
153views Education» more  CORR 1998»
13 years 5 months ago
Identifying Discourse Markers in Spoken Dialog
In this paper, we present a method for identifying discourse marker usage in spontaneous speech based on machine learning. Discourse markers are denoted by special POS tags, and t...
Peter A. Heeman, Donna K. Byron, James F. Allen
ACL
1998
13 years 6 months ago
Dialogue Act Tagging with Transformation-Based Learning
For the task of recognizing dialogue acts, we are applying the Transformation-Based Learning (TBL) machine learning algorithm. To circumvent a sparse data problem, we extract valu...
Ken Samuel, Sandra Carberry, K. Vijay-Shanker