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v1.1.0rc1

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@epwalsh epwalsh released this 14 Jul 21:23
v1.1.0rc1
dd60f94

First v1.1 pre-release candidate. See the corresponding allennlp v1.1.0rc1 release candidate.

What's new since v1.0.0

Fixed

  • Updated the BERT SRL model to be compatible with the new huggingface tokenizers.
  • CopyNetSeq2Seq model now works with pretrained transformers.
  • A bug with NextTokenLM that caused simple gradient interpreters to fail.
  • A bug in training_config of qanet and bimpm that used the old version of regularizer and initializer.
  • The fine-grained NER transformer model did not survive an upgrade of the transformers library, but it is now fixed.
  • Fixed many minor formatting issues in docstrings. Docs are now published at https://docs.allennlp.org/models/.

Changed

  • CopyNetDatasetReader no longer automatically adds START_TOKEN and END_TOKEN
    to the tokenized source. If you want these in the tokenized source, it's up to
    the source tokenizer.

Added

  • Added two models for fine-grained NER
  • Added a category for multiple choice models, including a few reference implementations
  • Implemented manual distributed sharding for SNLI dataset reader.

Commits

dd60f94 Prepare for release v1.1.0rc1
da83a4e build and publish models docs (#91)
4b2178b implement manual distributed sharding for SNLI reader (#89)
1a2a8f4 Updates the SRL model (#93)
8a93743 Updated the fine-grained NER transformer model (#92)
b913333 Multiple Choice (#75)
09395d2 updates for new transformers release (#88)
11c6814 fix the bug of bimpm and update CHANGELOG (#87)
a735ddd Fix the regularizer of QANet model (#86)
0ce14da fixes for next_token_lm (#85)
37136f8 skip docker build on nightly release
82aa9ac Fine grained NER (#84)
4b5b939 fix test fixture
947beb0 remove unused param in copynet reader
9ec65df fix nightly Docker workflow
3019a4e fix workflow skip conditions
cc60ab9 use small dummy transformer for copynet test (#83)
ac9f214 fix nightly workflow
596e6a7 Bump mypy from 0.781 to 0.782 (#82)
d210c2f add nightly releases (#81)
935a2a8 dont add START and END tokens to source in CopyNet (#79)
d6798ce update skip conditions on const-parser-test (#80)
2754f88 Bump mypy from 0.780 to 0.781 (#78)
d3588ad Make CopyNet work with pretrained transformer models (#76)

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