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  • * [[AddressesProblem::Sentence Segmentation]] ...each word is followed by a boundary flag which denotes whether there is a sentence boundary or not. Their input lack the punctuation or case. They use a model
    2 KB (357 words) - 10:37, 25 October 2010
  • ...mmon tasks of natural language processing, such as: tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and co
    376 bytes (43 words) - 04:00, 30 September 2011
  • ....edu/~grenager (Grenager)]. Or the CoNLL chunking tasks. Discourse-topic segmentation for [http://people.csail.mit.edu/jacobe/software.html lecture transcripts ( ...analysis) does not count as structured prediction. However, fine-grained sentence-level or phrase-level annotation does count. E.g. the [http://www.cs.pitt.
    4 KB (589 words) - 15:02, 8 September 2011
  • ...sentence containing a question, will detect boundaries at periods or other sentence boundaries. A named entity recognizer will detect certain single- or multi- in a sentence containing the year "1961."
    4 KB (645 words) - 08:37, 30 November 2011
  • A sentence s is divided into segments <math> <s_1,...,s_n> </math>. Where <math> s_i</ The conditional probability of a segmentation s give a sequence x is defined as
    9 KB (1,307 words) - 20:21, 3 October 2012
  • This model involves the observed sentence pairs <math>x</math>, the latent phrase segmentations and alignments <math> ...state <math>z_0</math>, which sets a initial configuration for the phrase segmentation and alignment. Then, by applying a set of local changes starting from <math
    6 KB (869 words) - 14:37, 13 October 2011
  • ...er is used to generate the N=20 most probable segmentations for each input sentence, along with their probabilities. Author's aim is to come up with reranking ...Most of these features are anchored on entity boundaries in the candidate segmentation. Each candidate tagged sequence <math>x</math>, proposed by the [[maximum e
    7 KB (1,157 words) - 19:28, 29 October 2011