ACL RD-TEC 1.0 Summarization of A92-1014
Paper Title:
AUTOMATIC LEARNING FOR SEMANTIC COLLOCATION
AUTOMATIC LEARNING FOR SEMANTIC COLLOCATION
Authors: Satoshl SEKINE and Jeremy J.CARROLL and Sofia ANANIADOU and Jun'ichi TSUJII
Primarily assigned technology terms:
- algorithm
- automatic learning
- context understanding
- disambiguation
- file transfer
- identification
- incremental learning
- knowledge acquisition
- language understanding
- learning
- learning process
- learning system
- machine translation
- natural language understanding
- nlp
- nlp systems
- parser
- statistical analysis
- subcategorization
- syntactic parser
- terminology
Other assigned terms:
- ambiguity
- approach
- argument position
- attachment ambiguity
- case
- co-occurrence
- co-occurrences
- collocation
- compound noun
- corpora
- dependency relation
- dependency representation
- dependency structures
- discourse
- domain ontology
- extra-linguistic knowledge
- fact
- feature
- governor
- grammar
- grammatical functions
- grammatical relation
- head word
- human judgement
- hypotheses
- hypothesis
- inflection
- interpretation
- japanese compound
- japanese compound noun
- knowledge
- linguistic
- linguistic expressions
- linguistic knowledge
- meanings
- measure
- measures
- method
- natural language
- noun phrase
- nouns
- ontological knowledge
- ontology
- parts-of-speech
- phrase
- phrase attachment
- predicates
- preposition
- prepositional attachment
- prepositional phrase
- prepositional phrase attachment
- prepositions
- procedure
- process
- relation
- semantic
- semantic classes
- semantic collocations
- semantic distance
- semantic relation
- sense ambiguity
- sentence
- sentences
- similarity measures
- statistical approach
- structural ambiguity
- subcategorization frames
- sublanguage
- syntactic relation
- syntactic rules
- understanding
- verb
- word
- word meanings
- word sense
- word sense ambiguity
- words
