A classifier system is a machine learning system that learns syntactically simple string rules (called classifiers) through a genetic algorithm to guide its performance in an arbi...
Mu-Chun Su, Chien-Hsing Chou, Eugene Lai, Jonathan...
This paper outlines ProSynth, an approach to speech synthesis which takes a rich linguistic structure as central to the generation of natural-sounding speech. We start from the as...
Richard Ogden, Sarah Hawkins, Jill House, Mark Huc...
Abstract. This paper describes two procedures for generating very short summaries for documents from the DUC-2003 competition: a chunk extraction method based on syntactic dependen...
ConceptMapper is an open source tool we created for classifying mentions in an unstructured text document based on concept terminologies and yielding named entities as output. It ...
Michael A. Tanenblatt, Anni Coden, Igor L. Sominsk...
This paper describes our attempt at NomBank-based automatic Semantic Role Labeling (SRL). NomBank is a project at New York University to annotate the argument structures for commo...