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pro vyhledávání: '"Jeffrey C. Reynar"'
Autor:
Jeffrey C. Reynar
Publikováno v:
ACL
Most documents are about more than one subject, but many NLP and IR techniques implicitly assume documents have just one topic. We describe new clues that mark shifts to new topics, novel algorithms for identifying topic boundaries and the uses of su
Autor:
Jeffrey C. Reynar, Adwait Ratnaparkhi
Publikováno v:
ANLP
We present a trainable model for identifying sentence boundaries in raw text. Given a corpus annotated with sentence boundaries, our model learns to classify each occurrence of ., ?, and ! as either a valid or invalid sentence boundary. The training
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9ce667d26d366d168daea9360d4be61
http://arxiv.org/abs/cmp-lg/9704002
http://arxiv.org/abs/cmp-lg/9704002
Publikováno v:
ANLP
Over the course of two summer projects, we developed a general purpose natural language system which advances the state-of-the-art in several areas. The system contains demonstrated advancements in part-of-speech tagging, end-of-sentence detection, a
Autor:
Jeffrey C. Reynar
Publikováno v:
ACL
This article outlines a new method of locating discourse boundaries based on lexical cohesion and a graphical technique called dotplotting. The application of dotplotting to discourse segmentation can be performed either manually, by examining a grap
Publikováno v:
The Journal of the Acoustical Society of America. 113:2391
A background audio recovery system displays an inactive status indicator for a speech recognition program module in an application program. To prevent losses of dictated speech when a speech recognition program module is inadvertently assigned to an