Ellie Pavlick

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Google ∙ Brown University

Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering

Many Question-Answering (QA) datasets contain unanswerable questions, bu...
01/02/2021 ∙ by Najoung Kim, et al. ∙ 0 ∙ share

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Spatial Language Understanding for Object Search in Partially Observed Cityscale Environments

We present a system that enables robots to interpret spatial language as...
12/04/2020 ∙ by Kaiyu Zheng, et al. ∙ 4 ∙ share

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A Visuospatial Dataset for Naturalistic Verb Learning

We introduce a new dataset for training and evaluating grounded language...
10/28/2020 ∙ by Dylan Ebert, et al. ∙ 0 ∙ share

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Measuring and Reducing Gendered Correlations in Pre-trained Models

Pre-trained models have revolutionized natural language understanding. H...
10/12/2020 ∙ by Kellie Webster, et al. ∙ 1 ∙ share

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Self-play for Data Efficient Language Acquisition

When communicating, people behave consistently across conversational rol...
10/10/2020 ∙ by Charles Lovering, et al. ∙ 0 ∙ share

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Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector Spaces

In politics, neologisms are frequently invented for partisan objectives....
10/06/2020 ∙ by Albert Webson, et al. ∙ 0 ∙ share

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Robot Object Retrieval with Contextual Natural Language Queries

Natural language object retrieval is a highly useful yet challenging tas...
06/23/2020 ∙ by Thao Nguyen, et al. ∙ 7 ∙ 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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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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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 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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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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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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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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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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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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Ellie Pavlick

Featured Co-authors

Benjamin Van Durme

Samuel R. Bowman

Edouard Grave

Tal Linzen

Stefanie Tellex

Manaal Faruqui

Dipanjan Das

Carsten Eickhoff

Alex Beutel

Aaron Steven White

Rachel Rudinger

Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering

Spatial Language Understanding for Object Search in Partially Observed Cityscale Environments

A Visuospatial Dataset for Naturalistic Verb Learning

Measuring and Reducing Gendered Correlations in Pre-trained Models

Self-play for Data Efficient Language Acquisition

Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector Spaces

Robot Object Retrieval with Contextual Natural Language Queries

When does data augmentation help generalization in NLP?

What Happens To BERT Embeddings During Fine-tuning?

Planning with State Abstractions for Non-Markovian Task Specifications

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

BERT Rediscovers the Classical NLP Pipeline

Probing What Different NLP Tasks Teach Machines about Function Word Comprehension

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

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

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

Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations