ACL RD-TEC 1.0 Summarization of P05-1053

Paper Title:
EXPLORING VARIOUS KNOWLEDGE IN RELATION EXTRACTION

Authors: GuoDong Zhou and Jian Su and Jie Zhang and Min Zhang

Other assigned terms:

  • ace corpus
  • annotation
  • annotators
  • approach
  • case
  • chunks
  • classification problem
  • community
  • dependency tree
  • dependency trees
  • document
  • entity type
  • entity types
  • entropy
  • entropy models
  • experimental results
  • experimental setting
  • f-measure
  • fact
  • feature
  • feature set
  • feature space
  • feature-based approach
  • generative models
  • head word
  • inter-annotator agreement
  • knowledge
  • maximum entropy models
  • measure
  • measures
  • message
  • multi-class classification problem
  • named entity
  • names
  • natural language
  • nist
  • noun phrase
  • parse
  • parse tree
  • parsing information
  • part-of-speech
  • phrase
  • precision
  • preposition
  • preposition phrase
  • pronoun
  • pronouns
  • query
  • relation
  • semantic
  • semantic class
  • semantic classes
  • semantic features
  • semantic information
  • semantic knowledge
  • semantic relation
  • semantic relationships
  • support vector
  • svms
  • syntactic and semantic information
  • syntactic features
  • technique
  • technologies
  • template element
  • template relation
  • testing data
  • testing set
  • text
  • text documents
  • textual information
  • theory
  • training
  • training and testing data
  • training data
  • training examples
  • training set
  • tree
  • tree structure
  • trees
  • understanding
  • vocabulary
  • word
  • word features
  • word string
  • wordnet
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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