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ACL
2011
13 years 1 months ago
Learning Word Vectors for Sentiment Analysis
Unsupervised vector-based approaches to semantics can model rich lexical meanings, but they largely fail to capture sentiment information that is central to many word meanings and...
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Da...
EMNLP
2008
13 years 11 months ago
Seeded Discovery of Base Relations in Large Corpora
Relationship discovery is the task of identifying salient relationships between named entities in text. We propose novel approaches for two sub-tasks of the problem: identifying t...
Nicholas Andrews, Naren Ramakrishnan
ACL
1997
13 years 11 months ago
Learning Parse and Translation Decisions from Examples with Rich Context
We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning t...
Ulf Hermjakob, Raymond J. Mooney
ACL
2010
13 years 8 months ago
Fully Unsupervised Core-Adjunct Argument Classification
The core-adjunct argument distinction is a basic one in the theory of argument structure. The task of distinguishing between the two has strong relations to various basic NLP task...
Omri Abend, Ari Rappoport
ACL
2012
12 years 13 days ago
Classifying French Verbs Using French and English Lexical Resources
We present a novel approach to the automatic acquisition of a Verbnet like classification of French verbs which involves the use (i) of a neural clustering method which associate...
Ingrid Falk, Claire Gardent, Jean-Charles Lamirel