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Removing potentially confusing paper details. (#1132)
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sleepinyourhat authored Oct 7, 2020
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Expand Up @@ -82,23 +82,7 @@ The `jiant` project's contributing guidelines can be found [here](CONTRIBUTING.m
### Looking for `jiant v1.3.2`?
`jiant v1.3.2` has been moved to [jiant-v1-legacy](https://github.com/nyu-mll/jiant-v1-legacy) to support ongoing research with the library. `jiant v2.x.x` is more modular and scalable than `jiant v1.3.2` and has been designed to reflect the needs of the current NLP research community. We strongly recommended any new projects use `jiant v2.x.x`.

#### Papers using `jiant v1.3.2`

[`jiant`](https://github.com/nyu-mll/jiant-v1-legacy) has been used in these papers so far:

- [Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling](https://arxiv.org/abs/1812.10860) (formerly "Looking for ELMo's Friends")
- [What do you learn from context? Probing for sentence structure in contextualized word representations](https://openreview.net/forum?id=SJzSgnRcKX) ("edge probing")
- [BERT Rediscovers the Classical NLP Pipeline](https://arxiv.org/abs/1905.05950) ("BERT layer paper")
- [Probing What Different NLP Tasks Teach Machines about Function Word Comprehension](https://arxiv.org/abs/1904.11544) ("function word probing")
- [Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs](https://arxiv.org/abs/1909.02597) ("BERT NPI paper")

To exactly reproduce experiments from [the ELMo's Friends paper](https://arxiv.org/abs/1812.10860) use the [`jsalt-experiments`](https://github.com/jsalt18-sentence-repl/jiant/tree/jsalt-experiments) branch. That will contain a snapshot of the code as of early August, potentially with updated documentation.

For the [edge probing paper](https://openreview.net/forum?id=SJzSgnRcKX) and the [BERT layer paper](https://arxiv.org/abs/1905.05950), see the [probing/](https://github.com/nyu-mll/jiant-v1-legacy/tree/master/probing) directory.

For the [function word probing paper](https://arxiv.org/abs/1904.11544), use [this branch](https://github.com/nyu-mll/jiant/tree/naacl_probingpaper) and refer to the instructions in the [scripts/fwords/](https://github.com/nyu-mll/jiant/tree/naacl_probingpaper/scripts/fwords) directory.

For the [BERT NPI paper](https://arxiv.org/abs/1909.02597) follow the instructions in [scripts/bert_npi](https://github.com/nyu-mll/jiant/tree/blimp-and-npi/scripts/bert_npi) on the [`blimp-and-npi`](https://github.com/nyu-mll/jiant/tree/blimp-and-npi) branch.
`jiant 1.x` has been used in in several papers. For instructions on how to reproduce papers by `jiant` authors that refer readers to this site for documentation (including Tenney et al., Wang et al., Bowman et al., Kim et al., Warstadt et al.), refer to the [jiant-v1-legacy](https://github.com/nyu-mll/jiant-v1-legacy) README.

### Citation

Expand All @@ -123,4 +107,4 @@ by recommendation of the Schmidt Futures program, and by support from Intuit Inc
- Developer Jesse Swanson is supported by the Moore-Sloan Data Science Environment as part of the NYU Data Science Services initiative.

### License
`jiant` is released under the [MIT License](https://github.com/jiant-dev/jiant/blob/master/LICENSE).
`jiant` is released under the [MIT License](https://github.com/jiant-dev/jiant/blob/master/LICENSE).

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