Ellie Pavlick

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Google ∙ Brown University

Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations

We present a large scale unified natural language inference (NLI) datase...
04/23/2018 ∙ by Adam Poliak, et al. ∙ 0 ∙ share

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WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse

We release a corpus of 43 million atomic edits across 8 languages. These...
08/28/2018 ∙ by Manaal Faruqui, et al. ∙ 0 ∙ share

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Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling

Work on the problem of contextualized word representation -- the develop...
12/28/2018 ∙ by Samuel R. Bowman, et al. ∙ 0 ∙ share

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Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

Machine learning systems can often achieve high performance on a test se...
02/04/2019 ∙ by R. Thomas McCoy, et al. ∙ 0 ∙ share

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Probing What Different NLP Tasks Teach Machines about Function Word Comprehension

We introduce a set of nine challenge tasks that test for the understandi...
04/25/2019 ∙ by Najoung Kim, et al. ∙ 0 ∙ share

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What do you learn from context? Probing for sentence structure in contextualized word representations

Contextualized representation models such as ELMo (Peters et al., 2018a)...
05/15/2019 ∙ by Ian Tenney, et al. ∙ 0 ∙ share

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BERT Rediscovers the Classical NLP Pipeline

Pre-trained text encoders have rapidly advanced the state of the art on ...
05/15/2019 ∙ by Ian Tenney, et al. ∙ 0 ∙ share

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Planning with State Abstractions for Non-Markovian Task Specifications

Often times, we specify tasks for a robot using temporal language that c...
05/28/2019 ∙ by Yoonseon Oh, et al. ∙ 0 ∙ share

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What Happens To BERT Embeddings During Fine-tuning?

While there has been much recent work studying how linguistic informatio...
04/29/2020 ∙ by Amil Merchant, et al. ∙ 0 ∙ share

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When does data augmentation help generalization in NLP?

Neural models often exploit superficial ("weak") features to achieve goo...
04/30/2020 ∙ by Rohan Jha, et al. ∙ 0 ∙ share

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Ellie Pavlick

Featured Co-authors

Benjamin Van Durme

Samuel R. Bowman

Edouard Grave

Tal Linzen

Manaal Faruqui

Stefanie Tellex

Dipanjan Das

Alex Wang

Rachel Rudinger

Aaron Steven White

R. Thomas McCoy

Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations

WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse

Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

Probing What Different NLP Tasks Teach Machines about Function Word Comprehension

What do you learn from context? Probing for sentence structure in contextualized word representations

BERT Rediscovers the Classical NLP Pipeline

Planning with State Abstractions for Non-Markovian Task Specifications

What Happens To BERT Embeddings During Fine-tuning?

When does data augmentation help generalization in NLP?