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NLP Architect v0.3
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@peteriz peteriz released this 01 Nov 19:03
· 400 commits to master since this release
v0.3
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Learn about vigilant mode.

New Solution

  • Topics and Trend Analysis - extract topics and compare two temporal versions a corpus, highlighting hot and cold trends.

New models

  • Sparse GNMT - A Tensorflow implementation of the GNMT model with sparsity and quantization operations integrated.
  • Semantic Relation Identification - Extract semantic relation types of two words or phrases using external resources.
  • Sieve-based Cross Document Coreference - A seive-based model for finding similar entities or events across different documents from the same domain.

Improvements

  • Reading comprehension - added inference mode.
  • Sequential models - updated NER, IE, Chunker models to use tf.keras and added CNN-character based feature extractors and improved accuracy of all models.
  • CRF Layer - added native Tensorflow based CRF layer.
  • Word Sense Disambiguation - model updated to use tf.keras.
  • Demo UI - updated demo UI using AngularJS.
  • Installation - improved installation process and added support for CPU/MKL/GPU backends for Tensorflow.
  • NLP Architect cmd - added nlp_architect - a simple command initiator to handle maintenance tasks, see nlp_architect -h for the list of commands.
  • Lots of bug fixes and refactoring.
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