DeepNL is a Python library for Natural Language Processing tasks based on a Deep Learning neural network architecture. The library currently provides tools for performing part-of-speech tagging, Named Entity tagging and Semantic Role Labeling. DeepNL also provides code for creating word embeddings from text, using either the Language Model approach by [Collobert11], or Hellinger PCA, as in [Lebret14]. It can also create sentiment specific word embeddings from a corpus of annotated Tweets.
DeepNL
ATTARDI, GIUSEPPE
2014-01-01
Abstract
DeepNL is a Python library for Natural Language Processing tasks based on a Deep Learning neural network architecture. The library currently provides tools for performing part-of-speech tagging, Named Entity tagging and Semantic Role Labeling. DeepNL also provides code for creating word embeddings from text, using either the Language Model approach by [Collobert11], or Hellinger PCA, as in [Lebret14]. It can also create sentiment specific word embeddings from a corpus of annotated Tweets.File in questo prodotto:
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