ACL RD-TEC 1.0 Summarization of W04-0821
Paper Title:
THE UNIVERSITY OF MARYLAND SENSEVAL-3 SYSTEM DESCRIPTIONS
THE UNIVERSITY OF MARYLAND SENSEVAL-3 SYSTEM DESCRIPTIONS
Authors: Clara Cabezas and Indrajit Bhattacharya and Philip Resnik
Primarily assigned technology terms:
- algorithm
- binary classification
- classification
- classifiers
- data preparation
- dependency parser
- disambiguation
- document expansion
- evidence combination
- feature selection
- fine-grained scoring
- giza
- information retrieval
- information retrieval system
- learning
- learning approach
- lexical selection
- machine translation
- modeling
- multi-way classification
- parser
- part-of-speech tagger
- probabilistic modeling
- retrieval system
- scoring
- sense disambiguation
- sense modeling
- sense tagging
- statistical machine translation
- statistical mt
- supervised classification
- supervised disambiguation
- supervised learning
- supervised learning approach
- support vector machines
- svm learning
- tagger
- tagging
- tokenization
- unsupervised algorithm
Other assigned terms:
- alignment template
- approach
- bag of words
- basque
- bilingual text
- catalan
- classification tasks
- context features
- corpora
- document
- english text
- europarl corpus
- feature
- feature space
- feature vector
- french
- grammatical features
- implementation
- language pairs
- learning paradigm
- local context
- nouns
- paragraph
- parallel corpora
- parallel corpus
- parallel text
- part-of-speech
- parts of speech
- portability
- precision
- probabilistic model
- query
- sense inventory
- sentence
- sentences
- support vector
- svms
- syntactic features
- system description
- tags
- test data
- text
- training
- training examples
- training set
- translation pairs
- translations
- vocabulary
- word
- wordnet
- wordnet sense
- words
