Skip to content

Latest commit

 

History

History
41 lines (29 loc) · 1.15 KB

CHANGELOG.md

File metadata and controls

41 lines (29 loc) · 1.15 KB

Changelog

Changes in relatio


0.3.0

  • Upload to PyPI
  • New API with Preprocessor() and NarrativeModel() classes
  • Support for SentenceTransformers and spaCy models
  • Dimension reduction via PCA/UMAP
  • Automatic selection of the "optimal" number of clusters based on well-known metrics for HDBSCAN / KMeans.
  • Visualization functions for the cluster selection metrics (i.e., elbow method, silhouette score, and DBCV).
  • Easy cluster visualization and inspection.
  • Multi-lingual support via spaCy language models.
  • Dependency parsing to extract SVOs (much much times faster than SRL and pretty decent output).

0.2.1

  • Upload to PyPI
  • Update documentation

0.2.0

  • Fixed a bug with top_n_entities in build_narrative_model. It was not saved in the narrative_model and thus did not filter for the top_n_entities when calling get_narratives.
  • Set lemmatize = True as the default text preprocessing in build_narrative_model.
  • Updated tutorial.ipynb

0.1.1

  • use allennlp_models.structured_prediction.predictors.SemanticRoleLabelerPredictor instead of allennlp.predictors.predictor

0.1

  • public release