ACL RD-TEC 1.0 Summarization of P04-1053
Paper Title:
DISCOVERING RELATIONS AMONG NAMED ENTITIES FROM LARGE CORPORA
DISCOVERING RELATIONS AMONG NAMED ENTITIES FROM LARGE CORPORA
Authors: Takaaki Hasegawa and Satoshi Sekine and Ralph Grishman
Primarily assigned technology terms:
- automatic content extraction
- bootstrapping
- bootstrapping method
- clustering
- clustering method
- entity tagger
- entity tagging
- hierarchical clustering
- information extraction
- information extraction tasks
- information retrieval
- kernel
- learning
- learning approach
- linking
- measuring
- message understanding
- named entity tagger
- named entity tagging
- ne tagging
- paraphrase acquisition
- pos tagger
- question answering
- question answering and summarization
- relation detection
- relation discovery
- relation extraction
- summarization
- supervised learning
- supervised learning approach
- tagger
- taggers
- tagging
- tuning
- unsupervised method
- vector space model
- verb phrases
- weakly supervised learning
Other assigned terms:
- acronym
- annotated corpora
- approach
- bag of words
- case
- cluster
- clusters
- co-occurrence
- co-occurrences
- concept
- content words
- context similarity
- context vector
- context vectors
- context words
- corpora
- cosine similarity
- data set
- document
- document frequency
- entity types
- f-measure
- fact
- inverse document frequency
- knowledge
- labeling
- large corpora
- large text corpora
- message
- message understanding conference
- method
- named entities
- named entity
- newspaper corpus
- noise
- norm
- paraphrase
- paraphrases
- passive voice
- phrase
- precision
- procedure
- process
- relation
- relative frequency
- seed
- sentence
- symbols
- tagged corpora
- technology
- template element
- template relation
- term
- term frequency
- text
- text corpora
- tf \* idf
- understanding
- vector space
- verb
- verb forms
- verb phrase
- word
- words
