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» The Use of NLP Techniques in CLIR
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AAAI
2011
12 years 7 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
CIMCA
2008
IEEE
14 years 2 months ago
Mining Bug Repositories--A Quality Assessment
The process of evaluating, classifying, and assigning bugs to programmers is a difficult and time consuming task which greatly depends on the quality of the bug report itself. It ...
Philipp Schügerl, Juergen Rilling, Philippe C...
CICLING
2007
Springer
14 years 2 months ago
ANERsys: An Arabic Named Entity Recognition System Based on Maximum Entropy
Abstract. The task of Named Entity Recognition (NER) allows to identify proper names as well as temporal and numeric expressions, in an open-domain text. NER systems proved to be v...
Yassine Benajiba, Paolo Rosso, José-Miguel ...
ASWC
2008
Springer
13 years 10 months ago
Semantic Assistants - User-Centric Natural Language Processing Services for Desktop Clients
Today's knowledge workers have to spend a large amount of time and manual effort on creating, analyzing, and modifying textual content. While more advanced semantically-orient...
René Witte, Thomas Gitzinger
ICWL
2007
Springer
14 years 2 months ago
A Cloze Test Authoring System and Its Automation
Abstract. This paper presents a pilot system and discusses its possible extensions. In the first sections, we present a web-based test authoring system for English grammar and voca...
Ayako Hoshino, Hiroshi Nakagawa