ACL RD-TEC 1.0 Summarization of W02-2011

Paper Title:
COMBINING LABELLED AND UNLABELLED DATA: A CASE STUDY ON FISHER KERNELS AND TRANSDUCTIVE INFERENCE FOR BIOLOGICAL ENTITY RECOGNITION

Authors: Cyril Goutte and Herv� D�jean and Eric Gaussier and Nicola Cancedda and Jean-Michel Renders

Other assigned terms:

  • annotated dataset
  • annotation
  • approach
  • benchmark
  • candidate term
  • case
  • clusters
  • co-occurrences
  • concepts
  • contextual features
  • contextual information
  • development set
  • distribution
  • document
  • document collection
  • drosophila
  • english lexicon
  • experimental results
  • fact
  • feature
  • feature space
  • french
  • gene names
  • generalisation
  • generation
  • generative model
  • generative models
  • heuristics
  • interannotator agreement
  • interpolation
  • kappa
  • knowledge
  • labeling
  • latent semantic
  • learning problem
  • lexical resources
  • lexicon
  • likelihood
  • linguistic
  • log-likelihood
  • measure
  • medline
  • method
  • names
  • noise
  • nouns
  • optimisation problem
  • part-of-speech
  • precision
  • prepositions
  • probabilistic model
  • probabilistic models
  • probabilities
  • process
  • protein names
  • search strategy
  • semantic
  • sentence
  • similarity measure
  • supervised learning problem
  • support vector
  • svms
  • technique
  • term
  • terms
  • test data
  • test set
  • text
  • tokens
  • training
  • training data
  • training set
  • understanding
  • user
  • user interaction
  • word
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

*** ***