Year: 2009
Type: conference-paper
Abstract: Sentence Boundary Detection is widely used but often with outdated tools. We discuss what makes it difficult, which features are relevant, and present a fully statistical system, now publicly available, that gives the best known error rate on a standard news corpus: Of some 27,000 examples, our system makes 67 errors, 23 involving the word "U.S."
Author: Dan Gillick
Institution: University of California, Berkeley
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W2143230354