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11/15/2022
Pragmatics in Grounded Language Learning: Phenomena, Tasks, and Modeling Approaches
People rely heavily on context to enrich meaning beyond what is literall...
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08/12/2022
RLang: A Declarative Language for Expression Prior Knowledge for Reinforcement Learning
Communicating useful background knowledge to reinforcement learning (RL)...
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10/11/2021
Generalizing to New Domains by Mapping Natural Language to Lifted LTL
Recent work on using natural language to specify commands to robots has ...
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10/15/2020
Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding
We introduce Room-Across-Room (RxR), a new Vision-and-Language Navigatio...
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06/23/2020
Robot Object Retrieval with Contextual Natural Language Queries
Natural language object retrieval is a highly useful yet challenging tas...
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05/28/2019
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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04/25/2019
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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12/28/2018
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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06/11/2018
A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature
We present a corpus of 5,000 richly annotated abstracts of medical artic...
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04/30/2018
