Kea test on SemEval + ref correction in DEFT corpora (do not affect previous results)
add deft train documents
kea model serialization
add tokenization of the reference keyphrases during the evaluation
unsuccessful test with sk-learn (commented) + model serialization
KEA with scikit-learn
add n-gram based tf-idf for kea
KEA results are similar to KEA-5.0 (lesser for Inspec) with both sk-learn and Weka (in comments)
using MultinomialNB without MinMaxScaler provides better results
TF-IDF working with train docs for DFs computation
add pattern matching for candidate extraction
check NP chunking RegExp
Wrote the main algorithm of the method decribed in 'Noun-Phrase Analysis in Unrestricted Text for Information Retrieval'.
Implementation of the noun phrase subcompound extraction of CLARIT'96
Decrease the local_dominant_count complexity
add the duc-2001 ressources
enable keyphrase extraction for DUC-2001
regexp parsing of DUC-2001, instead of XML
DUC-2001 preprocessing
add best patterns + np chunk rules modification