5 search results - page 1 / 1 » SensEmbed: Learning Sense Embeddings for Word and Relational... |
NAACL
2010
13 years 2 months ago
2010
Taxonomies are an important resource for a variety of Natural Language Processing (NLP) applications. Despite this, the current stateof-the-art methods in taxonomy learning have d...
ACL
2003
13 years 6 months ago
2003
We present a supervised machine learning algorithm for metonymy resolution, which exploits the similarity between examples of conventional metonymy. We show that syntactic head-mo...
CIARP
2004
Springer
13 years 10 months ago
2004
Springer
We present a method for extracting selectional preferences of verbs from unannotated text. These selectional preferences are linked to an ontology (e.g. the hypernym relations foun...
JMLR
2011
12 years 12 months ago
2011
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
SIAMCOMP
2008
13 years 4 months ago
2008
Leslie Valiant recently proposed a theory of holographic algorithms. These novel algorithms achieve exponential speed-ups for certain computational problems compared to naive algo...