Sentence examples for chunk tagging from inspiring English sources

Part-of-speech and chunk tagging.

This is followed by tokenization, part-of-speech and chunk tagging with the GENIA Tagger, which additionally performs recognition of GGPs.

> As an initial step to the training of CRF models, the abstracts were pre-processed by sentence splitting [using the MEDLINE sentence model in LingPipe (http://alias-i.com/lingpipe)], tokenization [using OSCAR4 (50)] and part-of-speech and chunk tagging [using GENIA Tagger (51)].

NLP features: Token, lemma, POS and chunk tags; Dependency parsing.

Token, lemma, POS and chunk tags; Dependency parsing.

Another feature that showed a great impact on results were chunk tags.

Shown in Table 8 are the lemmata, POS and chunk tags assigned to the tokens of the given sentence.

Removing three of the linguistic features, namely lemmas, part-of-speech and chunk tags produced important negative impacts on F-measure.

Removing chunk tags also contributed negatively to recall, with a drop of 5 percentage points, although precision improved by over 1.5%.

In this work, we used lemmas, POS and chunk tags from neighbouring tokens to encode local context through windows, and the concatenation of lemmas and POS tags to encode local context through conjunctions.

Surface form Lemma Part-of-speech tag Chunk tag It It PRP B-NP attenuated attenuate VBD B-VP GSK214a GSK214a NN B-NP -induced -induced JJ I-NP gestation gestation NN I-NP in in IN B-PP rats rat NN B-NP... O Table 9 Orthographic features extracted by NERsuite by default.