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COLING
2010
13 years 2 months ago
Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision
We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...
Joohyun Kim, Raymond J. Mooney
ACL
2004
13 years 9 months ago
Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models
We describe two probabilistic models for unsupervised word-sense disambiguation using parallel corpora. The first model, which we call the Sense model, builds on the work of Diab ...
Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio
ICPR
2010
IEEE
13 years 6 months ago
Unsupervised Learning from Linked Documents
Documents in many corpora, such as digital libraries and webpages, contain both content and link information. In a traditional topic model which plays an important role in the uns...
Zhen Guo, Shenghuo Zhu, Yun Chi, Zhongfei Zhang, Y...
LREC
2008
130views Education» more  LREC 2008»
13 years 9 months ago
Encoding Terms from a Scientific Domain in a Terminological Database: Methodology and Criteria
This paper reports on the main phases of a research which aims at enhancing a maritime terminological database by means of a set of terms belonging to meteorology. The structure o...
Rita Marinelli, Melissa Tiberi, Remo Bindi
ECTEL
2007
Springer
14 years 1 months ago
Building Domain Ontologies from Text for Educational Purposes
—This paper presents a semiautomatic framework that aims to produce domain concept maps from text and then to derive domain ontologies from these concept maps. This methodology p...
Amal Zouaq, Roger Nkambou, Claude Frasson