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» Learning and prediction of slip from visual information
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CICLING
2008
Springer
13 years 9 months ago
Semantic and Syntactic Features for Dutch Coreference Resolution
We investigate the effect of encoding additional semantic and syntactic information sources in a classification-based machine learning approach to the task of coreference resolutio...
Iris Hendrickx, Véronique Hoste, Walter Dae...
ACL
2010
13 years 5 months ago
Using Document Level Cross-Event Inference to Improve Event Extraction
Event extraction is a particularly challenging type of information extraction (IE). Most current event extraction systems rely on local information at the phrase or sentence level...
Shasha Liao, Ralph Grishman
JAIR
2006
137views more  JAIR 2006»
13 years 7 months ago
Learning Sentence-internal Temporal Relations
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
Maria Lapata, Alex Lascarides
NLPRS
2001
Springer
14 years 5 days ago
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim,...
TMM
2010
133views Management» more  TMM 2010»
13 years 2 months ago
Cross-Media Alignment of Names and Faces
In this paper we report on our experiments on aligning names and faces as found in images and captions of online news websites. Developing accurate technologies for linking names a...
Phi The Pham, Marie-Francine Moens, Tinne Tuytelaa...