ACL
2001
14 years 1 months ago
2001
Many machine learning methods have recently been applied to natural language processing tasks. Among them, the Winnow algorithm has been argued to be particularly suitable for NLP...
ACL
2001
14 years 1 months ago
2001
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
ACL
2001
14 years 1 months ago
2001
We present a syntax-based statistical translation model. Our model transforms a source-language parse tree into a target-language string by applying stochastic operations at each ...
ACL
2001
14 years 1 months ago
2001
We describe a set of supervised machine learning experiments centering on the construction of statistical models of WH-questions. These models, which are built from shallow lingui...
ACL
2001
14 years 1 months ago
2001
This paper describes the application of the PARADISE evaluation framework to the corpus of 662 human-computer dialogues collected in the June 2000 Darpa Communicator data collecti...
ACL
2001
14 years 1 months ago
2001
We propose a statistical method that finds the maximum-probability segmentation of a given text. This method does not require training data because it estimates probabilities from...
ACL
2001
14 years 1 months ago
2001
One of the central issues for information extraction (IE) systems is the cost of customization from one scenario to another. Research on the automated acquisition of patterns is i...
ACL
2001
14 years 1 months ago
2001
The standard pipeline approach to semantic processing, in which sentences are morphologically and syntactically resolved to a single tree before they are interpreted, is a poor fi...
ACL
2001
14 years 1 months ago
2001
In a headed tree, each terminal word can be uniquely labeled with a governing word and grammatical relation. This labeling is a summary of a syntactic analysis which eliminates de...
ACL
2001
14 years 1 months ago
2001
We describe a biographical multidocument summarizer that summarizes information about people described in the news. The summarizer uses corpus statistics along with linguistic kno...