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FSMNLP
2005
Springer
15 years 5 months ago
Algorithms for Minimum Risk Chunking
Abstract. Stochastic finite automata are useful for identifying substrings (chunks) within larger units of text. Relevant applications include tokenization, base-NP chunking, name...
Martin Jansche
NLPRS
2001
Springer
15 years 4 months ago
Long Sentence Partitioning using Structure Analysis for Machine Translation
in machine translation, long sentences are usually assumed to be difficult to treat. The main reason is the syntactic ambiguity which increases explosively as a sentence become lo...
Yoon-Hyung Roh, Young Ae Seo, Ki-Young Lee, Sung-K...
CICLING
2006
Springer
15 years 3 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...
EMNLP
2010
14 years 9 months ago
Evaluating Models of Latent Document Semantics in the Presence of OCR Errors
Models of latent document semantics such as the mixture of multinomials model and Latent Dirichlet Allocation have received substantial attention for their ability to discover top...
Daniel David Walker, William B. Lund, Eric K. Ring...
EMNLP
2010
14 years 9 months ago
Joint Training and Decoding Using Virtual Nodes for Cascaded Segmentation and Tagging Tasks
Many sequence labeling tasks in NLP require solving a cascade of segmentation and tagging subtasks, such as Chinese POS tagging, named entity recognition, and so on. Traditional p...
Xian Qian, Qi Zhang, Yaqian Zhou, Xuanjing Huang, ...