ACL RD-TEC 1.0 Summarization of P06-2022

Paper Title:
AUTOMATICALLY EXTRACTING NOMINAL MENTIONS OF EVENTS WITH A BOOTSTRAPPED PROBABILISTIC CLASSIFIER

Authors: Cassandre Creswell and Matthew J. Beal and John Chen and Thomas L. Cornell and Lars Nilsson and Rohini K. Srihari

Other assigned terms:

  • annotation
  • annotator
  • approach
  • argument structure
  • array
  • association for computational linguistics
  • backoff
  • bias
  • british national corpus
  • case
  • causal relation
  • cognitive
  • concept
  • constructional polysemy
  • context model
  • contextual features
  • corpora
  • data set
  • dependency relations
  • dictionaries
  • dictionary
  • discourse
  • distribution
  • document
  • evaluation data
  • events
  • experimental results
  • fact
  • feature
  • feature vectors
  • formalism
  • framenet
  • frequency list
  • generative models
  • generative probability
  • hypernym
  • hyponyms
  • interpretation
  • labeling
  • large corpus
  • lexemes
  • lexical item
  • lexical resource
  • lexical resources
  • lexicon
  • linguistics
  • method
  • model size
  • natural language
  • nominals
  • nomlex
  • noun phrase
  • noun phrases
  • nouns
  • parsed corpus
  • phrase
  • polysemous word
  • polysemous words
  • polysemy
  • probabilistic framework
  • probabilistic model
  • probabilistic models
  • probability
  • procedure
  • process
  • relation
  • run-time
  • seed
  • seed words
  • semantic
  • semantic categories
  • semantic classes
  • sense distinction
  • set size
  • speech acts
  • symbol
  • synonyms
  • synset
  • syntactic head
  • technique
  • term
  • terms
  • test corpus
  • test data
  • test set
  • text
  • tokens
  • training
  • training and test data
  • training corpus
  • training data
  • training set
  • verb
  • verbal root
  • word
  • word data
  • word model
  • word sense
  • word type
  • wordnet
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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