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yourh / AttentionXML

Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"
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Bump nltk from 3.4 to 3.6.3 #25

Open dependabot[bot] opened 3 years ago

dependabot[bot] commented 3 years ago

Bumps nltk from 3.4 to 3.6.3.

Changelog

Sourced from nltk's changelog.

Version 3.6.3 2021-09-19

  • Dropped support for Python 3.5
  • Run CI tests on Windows, too
  • Moved from Travis CI to GitHub Actions
  • Code and comment cleanups
  • Visualize WordNet relation graphs using Graphviz
  • Fixed large error in METEOR score
  • Apply isort, pyupgrade, black, added as pre-commit hooks
  • Prevent debug_decisions in Punkt from throwing IndexError
  • Resolved ZeroDivisionError in RIBES with dissimilar sentences
  • Initialize WordNet IC total counts with smoothing value
  • Fixed AttributeError for Arabic ARLSTem2 stemmer
  • Many fixes and improvements to lm language model package
  • Fix bug in nltk.metrics.aline, C_skip = -10
  • Improvements to TweetTokenizer
  • Optional show arg for FreqDist.plot, ConditionalFreqDist.plot
  • edit_distance now computes Damerau-Levenshtein edit-distance

Thanks to the following contributors to 3.6.3 Tom Aarsen, Abhijnan Bajpai, Michael Wayne Goodman, Michał Górny, Maarten ter Huurne, Manu Joseph, Eric Kafe, Ilia Kurenkov, Daniel Loney, Rob Malouf, Mohaned Mashaly, purificant, Danny Sepler, Anthony Sottile

Version 3.6.2 2021-04-20

  • move test code to nltk/test
  • clean up some doctests
  • fix bug in NgramAssocMeasures (order preserving fix)
  • fixes for compatibility with Pypy 7.3.4

Thanks to the following contributors to 3.6.2 Ruben Cartuyvels, Rob Malouf, Dalton Pearson, Danny Sepler

Version 3.6 2021-04-07

  • add support for Python 3.9
  • add Tree.fromlist
  • compute Minimum Spanning Tree of unweighted graph using BFS
  • fix bug with infinite loop in Wordnet closure and tree
  • fix bug in calculating BLEU using smoothing method 4
  • Wordnet synset similarities work for all pos
  • new Arabic light stemmer (ARLSTem2)
  • new syllable tokenizer (LegalitySyllableTokenizer)
  • remove nose in favor of pytest
  • misc bug fixes, code cleanups, test cleanups, efficiency improvements

Thanks to the following contributors to 3.6: Tom Aarsen, K Abainia, Akshita Bhagia, Andrew Bird, Thomas Bird, Tom Conroy, CubieDev, Christopher Hench, Andrew Jorgensen, Eric Kafe, Ilia Kurenkov, Yeting Li, Joseph Manu, Marius Mather, Denali Molitor, Jacob Moorman, Philippe Ombredanne, Vassilis Palassopoulos, Ram Rachum, Danny Sepler, Or Sharir, Brad Solomon, Hiroki Teranishi, Constantin Weisser,

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