Chunker
Related Papers
Development of a Partially Bracketed Corpus with Part-of-Speech Information Only
Resea/ch based on a treebank is active for many natural language applications. However, the work to build a large scale treebank is laborious and tedious. This paper proposes a probabilistic …...
A Language Independent Method for Question Classification
Previous works on question classification are based on complex natural language process- ing techniques: named entity extractors, parsers, chunkers, etc. While these ap- proaches have proven to be effective they …...
Example-Based Machine Translation of the Basque Language
AbstractBasque is both a minority and a highly inflected language with free order of sentence constituents. Machine Translation of Basque is thus both a real need and a test bed …...
Hybrid Parsing: Using Probabilistic Models as Predictors for a Symbolic Parser
In this paper we investigate the benefit of stochastic predictor components for the parsing quality which can be obtained with a rule-based dependency grammar. By in- cluding a chunker, a …...
Robust Compositional Polarity Classification
We describe a pattern-based system for polarity classification from texts. Our system is currently restricted to the positive, negative or neutral po- larity of phrases and sentences. It analyses the …...
Can we chunk well with bad POS labels? (Peut-on bien chunker avec de mauvaises étiquettes POS ?) [in French]
. In this paper, we test two distinct approaches to chunk transcribed oral data, trying to minimize the phases of manual correction. First, we use an existing chunker, learned from …...
Chunk Different Kind of Spoken Discourse: Challenges for Machine Learning
AbstractThis paper describes the development of a chunker for spoken data by supervised machine learning using the CRFs, based on a small reference corpus composed of two kinds of discourse: …...