We present results of probabilistic tagging of Czech texts in order to show how these techniques work for one of the highly morphologically ambiguous inflective languages. After d...
rietary Semantico-Syntactic Abstraction Language (SAL) the parser is able to achieve better results than syntactic analysis alone would allow. This comprehensive analysis permits t...
Appointment scheduling is a problem faced daily by many individuals and organizations. Cooperating agent systems have been developed to partially automate this task. In order to e...
This paper describes a prceXype for automatically scoring College Board Advanced Placement (AP) Biology essays.I. The scoring technique used in this study was based on a previous ...
Jill Burstein, Susanne Wolff, Chi Lu, Randy M. Kap...
We describe a novel technique and implemented system for constructing a subcategorization dictionary from textual corpora. Each dictionary entry encodes the relative frequency of ...
We describe and experimentally evaluate an efficient method for automatically determining small clause boundaries in spontaneous speech. Our method applies an artificial neural ne...
This paper presents a statistical, learned approach to finding names and other nonrecursive entities in text (as per the MUC-6 definition of the NE task), using a variant of the s...
Daniel M. Bikel, Scott Miller, Richard M. Schwartz...
We describe the authoring tool, EasyEnglish, which is part of IBM's internal SGML editing environment, Information Development Workbench. EasyEnglish helps writers produce cl...