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Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering
Many Question-Answering (QA) datasets contain unanswerable questions, bu...
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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...
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A Visuospatial Dataset for Naturalistic Verb Learning
We introduce a new dataset for training and evaluating grounded language...
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Measuring and Reducing Gendered Correlations in Pre-trained Models
Pre-trained models have revolutionized natural language understanding. H...
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Self-play for Data Efficient Language Acquisition
When communicating, people behave consistently across conversational rol...
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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....
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Robot Object Retrieval with Contextual Natural Language Queries
Natural language object retrieval is a highly useful yet challenging tas...
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When does data augmentation help generalization in NLP?
Neural models often exploit superficial ("weak") features to achieve goo...
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What Happens To BERT Embeddings During Fine-tuning?
While there has been much recent work studying how linguistic informatio...
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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...
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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)...
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BERT Rediscovers the Classical NLP Pipeline
Pre-trained text encoders have rapidly advanced the state of the art on ...
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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...
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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...
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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...
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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...
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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...
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