CoreNLP v4.0.0 Release Notes

Release Date: 2020-05-04 // 22 days ago
  • Overview

    🚀 The latest release of Stanford CoreNLP includes a major overhaul of tokenization and a large collection of new parsing and tagging models. There are also miscellaneous enhancements and fixes.

    ✨ Enhancements

    • UD v2.0 tokenization standard for English, French, German, and Spanish
    • 🆕 New mwt annotator for handling multiword tokens in French, German, and Spanish.
    • 🆕 New models with more training data and better performance for tagging and parsing in English, French, German, and Spanish.
    • French NER
    • 🆕 New Chinese segmentation based off CTB9
    • 👌 Improved handling of double codepoint characters
    • Easier syntax for specifying language specific pipelines and NER pipeline properties
    • 👌 Improved CoNLL-U processing
    • 👌 Improved speed and memory performance for CRF training
    • 👍 Tregex support in CoreSentence
    • ⚡️ Updated library dependencies

    🛠 Fixes

    • NPE while simultaneously tokenizing on whitespace and sentence splitting on newlines
    • NPE in EntityMentionsAnnotator during language check
    • NPE in CorefMentionAnnotator while aligning coref mentions with titles and entity mentions
    • 🔧 NPE in NERCombinerAnnotator in certain configurations of models on/off
    • Incorrect handling of eolonly option in ArabicSegmenterAnnotator
    • Apply named entity granularity change prior to coref mention detection
    • 🏁 Incorrect handling of keeping newline tokens when using Chinese segmenter on Windows
    • Incorrect handling of reading in German treebank files
    • 📜 SR parser crashes when given bad training input