Classifier evaluation by mperice
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Launch workflow!Classifier evaluation (copy) by Deniztan Ulutaş
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Launch workflow!COMTRADE demo by matej
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Launch workflow!download_adc_annotations_as_csv by matej
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Launch workflow!Evaluation of POS 3-gram sequences in gender classification task by matej
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In this experiment we evaluate POS 3-gram sequences in gender classification task by applying chi square test which checks for dependence between a specific class (male, female) and a feature.
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Launch workflow!Intrinsic lemmatizer evaluation by matej
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Wordnet lemmatizer, Lemmagen lemmatizer and a lemmatizer from Pattern library are evaluated on a set of different golden standards.
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Launch workflow!Intrinsic stemmer evaluation by matej
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Lancaster, Snowball, RSLP and Porter stemmers from Pattern and NLTK libraries are evaluated on a set of different golden standards.
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Launch workflow!LBD workflows for outlier detection by bojan
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Launch workflow!Literature Based Discovery (overview) by mperice
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Launch workflow!Literature Based Discovery (overview with vocab) by mperice
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Launch workflow!Literature Based Discovery (overview with vocab) (copy) by Deniztan Ulutaş
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Launch workflow!Literature Based Discovery (Whatif aesop) by mperice
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Launch workflow!Literature Based Discovery (WHIM triplets) by mperice
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Launch workflow!Literature Based Discovery (WHIM triplets) (copy) by joe
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Launch workflow!Outlier document detection by mperice
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Launch workflow!Outlier document detection - COMTRADE demo by matej
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Launch workflow!POS tagger extrinsic evaluation in gender classification task by matej
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POS taggers are evaluated in a settings where POS 3-gram sequences are used as features in a bag-of-words model for gender prediction
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Launch workflow!POS tagger extrinsic evaluation in lemmatization task by matej
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In this workflow we evaluate taggers on their contribution to performance in a lemmatization task, where POS tags are used as additional input for Wordnet lemmatizer during lemmatization. Accuracy of lemmatization is measured on GUM corpus with hand annotated lemmas.
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Launch workflow!POS tagger extrinsic evaluation in lemmatization task (new) by matej
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Launch workflow!Description
In this workflow we evaluate taggers on their contribution to performance in a lemmatization task, where POS tags are used as additional input for Wordnet lemmatizer during lemmatization. Accuracy of lemmatization is measured on GUM corpus with hand annotated lemmas.
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Launch workflow!POS tagger intrinsic evaluation - experiment 1 by matej
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In this experiment we evaluate all implemented trainable POS taggers on 6 different golden standard corpora. All taggers are trained on NLTK Wall street journal sample.
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Launch workflow!POS tagger intrinsic evaluation - experiment 1 (new) by matej
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Launch workflow!Description
In this experiment we evaluate all implemented trainable POS taggers on 6 different golden standard corpora. All taggers are trained on NLTK Wall street journal sample.
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Launch workflow!POS tagger intrinsic evaluation - experiment 2 by matej
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In this experiment we measure the influence of the size of the training set on POS tagger performance. 7 different POS taggers are trained on first 1000, 2000, 3000 and all sentences of the NLTK WSJ sample. Their performance is measured on GUM corpus.
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Launch workflow!POS tagger intrinsic evaluation - experiment 2 (new) by matej
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Launch workflow!Description
In this experiment we measure the influence of the size of the training set on POS tagger performance. 7 different POS taggers are trained on first 1000, 2000, 3000 and all sentences of the NLTK WSJ sample. Their performance is measured on GUM corpus.
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Launch workflow!POS tagger intrinsic evaluation - experiment 3 by matej
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In this experiment we compare NLTK perceptron tagger to Chained tagger (created by chaining 2 N-gram taggers, Affix tagger and default tagger) on 6 different golden standard corpora
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Launch workflow!POS tagger intrinsic evaluation - experiment 3 (new) by matej
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Launch workflow!Description
In this experiment we evaluate Chained tagger (created by chaining 2 N-gram taggers, Affix tagger and default tagger) on 6 different golden standard corpora.
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Launch workflow!POS tagger intrinsic evaluation - experiment 4 by matej
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In this experiment we compare taggers trained on NLTK WSJ sample to taggers trained on NPS Chat corpus on a corpus of tagged tweets.
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Launch workflow!POS tagger intrinsic evaluation - experiment 4 (new) by matej
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In this experiment we compare taggers trained on NLTK WSJ sample to taggers trained on NPS Chat corpus on a corpus of tagged tweets.
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Launch workflow!POS tagger intrinsic evaluation - experiment 5 by matej
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In this workflow we compare pretrained taggers to taggers trained on NLTK Penn Treebank WSJ sample on 6 different golden standards
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Launch workflow!POS tagger intrinsic evaluation - experiment 5 (new) by matej
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Launch workflow!Description
In this workflow we compare pretrained taggers to taggers trained on NLTK Penn Treebank WSJ sample on 6 different golden standards
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Launch workflow!POS tagging classification evaluation by mperice
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Launch workflow!POS tagging classification evaluation (copy) by vid
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Launch workflow!Simple Document Preprocessing by mperice
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Launch workflow!Stemmer and Lemmatizer classification evaluation by mperice
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Launch workflow!Stemmer and Lemmatizer extrinsic evaluation by matej
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In this workflow we measure the influence of different stemmers and lemmatizers on a performance of a classifier in a classification task.
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Launch workflow!test Untitled workflow by ken.strang@aimranalytics.com
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Launch workflow!Tutorial workflow by hiepnguyen
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Launch workflow!Untitled workflow by Deepak
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