ACL RD-TEC 1.0 Summarization of C04-1071
Paper Title:
DEEPER SENTIMENT ANALYSIS USING MACHINE TRANSLATION TECHNOLOGY
DEEPER SENTIMENT ANALYSIS USING MACHINE TRANSLATION TECHNOLOGY
Authors: Hiroshi Kanayama and Tetsuya Nasukawa and Hideo Watanabe
Primarily assigned technology terms:
- analyzer
- anaphora resolution
- classification
- deep analysis
- deep language analysis
- disambiguation
- document-level classification
- error analysis
- full parsing
- language analysis
- language generator
- language translation
- machine translation
- machine translation system
- machine translation technology
- matching
- mining
- mining task
- mt engine
- nlp
- parser
- parsing
- pattern extraction
- pattern matching
- semantic analysis
- sense disambiguation
- sentiment analysis
- shallow analysis
- shallow parser
- shallow parsing
- syntactic parser
- syntactic parsing
- text mining
- transfer-based machine translation
- translation engine
- translation system
- translation technology
- word sense disambiguation
- word translation
Other assigned terms:
- adjective
- adverb
- ambiguity
- anaphora
- approach
- bilingual lexicon
- bilingual lexicons
- break
- case
- corpora
- detection rate
- dictionaries
- document
- english translation
- experimental results
- feature
- head word
- implementation
- japanese language
- knowledge
- lexicon
- meanings
- method
- modifier
- negation
- nlp tasks
- noise
- noun phrase
- nouns
- open test
- opinion
- opinions
- parse
- parse tree
- parsing approach
- particle
- particles
- phrase
- polarity
- precision
- predicate-argument
- predicate-argument structure
- predicate-argument structures
- predicates
- process
- quantitative information
- representations
- root node
- semantic
- semantic category
- sentence
- sentences
- sentiment
- source language
- subtrees
- surface form
- syntactic form
- syntactic tree
- target language
- target sentence
- technology
- temporal information
- term
- text
- text documents
- translation pattern
- tree
- tree structure
- tree structures
- usability
- verb
- word
- word sense
- words
