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» Learning with Annotation Noise
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108
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EACL
2006
ACL Anthology
15 years 4 months ago
Example-Based Metonymy Recognition for Proper Nouns
Metonymy recognition is generally approached with complex algorithms that rely heavily on the manual annotation of training and test data. This paper will relieve this complexity ...
Yves Peirsman
AIS
2006
Springer
15 years 3 months ago
Context enhancement for co-intentionality and co-reference in asynchronous CMC
The regulative and semantic `distance' of electronic conferencing may impede the topical alignment and the unambiguous interpretation of messages, hindering collaborative lear...
J. van der Pol, Wilfried Admiraal, P. Simons
ML
2006
ACM
15 years 3 months ago
Using duration models to reduce fragmentation in audio segmentation
We investigate explicit segment duration models in addressing the problem of fragmentation in musical audio segmentation. The resulting probabilistic models are optimised using Mar...
Samer A. Abdallah, Mark B. Sandler, Christophe Rho...
141
Voted
COLING
2002
15 years 3 months ago
A Maximum Entropy-based Word Sense Disambiguation System
In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...
Armando Suárez, Manuel Palomar
169
Voted
ACL
2011
14 years 7 months ago
Semi-Supervised Frame-Semantic Parsing for Unknown Predicates
We describe a new approach to disambiguating semantic frames evoked by lexical predicates previously unseen in a lexicon or annotated data. Our approach makes use of large amounts...
Dipanjan Das, Noah A. Smith