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ICML
2000
IEEE
14 years 9 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
ECTEL
2008
Springer
13 years 10 months ago
Knowledge Management in the Communities of Practice of e-Learning
Abstract. A lot of research has been done to promote and develop good elearning models, practices, and technological environments. However, fewer efforts were deployed to support e...
Akila Sarirete
PROPOR
2010
Springer
278views Languages» more  PROPOR 2010»
14 years 3 months ago
Translating from Complex to Simplified Sentences
We address the problem of simplifying Portuguese texts at the sentence level treating it as a "translation task". We use the Statistical Machine Translation (SMT) framewo...
Lucia Specia
ALT
2011
Springer
12 years 8 months ago
Semantic Communication for Simple Goals Is Equivalent to On-line Learning
Abstract. Previous works [11, 6] introduced a model of semantic communication between a “user” and a “server,” in which the user attempts to achieve a given goal for commun...
Brendan Juba, Santosh Vempala
ECML
2007
Springer
14 years 2 months ago
Generalization-Based Similarity for Conceptual Clustering
The availability of techniques for comparing descriptions has many applications in Artificial Intelligence, ranging from description selection to flexible matching, from instance...
Stefano Ferilli, Teresa Maria Altomare Basile, Nic...