Year: 2020
Type: conference-paper
Abstract: For NLP, sentence boundary detection (SBD) is an essential task to decompose a text into sentences.Most of the previous studies have used a simple rule that uses only typical characters as sentence boundaries.However, some characters may or may not be sentence boundaries depending on the context.We focused on line breaks in them.We newly constructed annotated corpora, implemented sentence boundary detectors, and analyzed performance of SBD in several settings.
Authors: Yuta Hayashibe, Kensuke Mitsuzawa
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W3099164222
