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Asking without Telling: Exploring Latent Ontologies in Contextual Representations
The success of pretrained contextual encoders, such as ELMo and BERT, ha...
04/29/2020 ∙ by Julian Michael, et al. ∙
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AmbigQA: Answering Ambiguous Open-domain Questions
Ambiguity is inherent to open-domain question answering; especially when...
04/22/2020 ∙ by Sewon Min, et al. ∙
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Crowdsourcing a High-Quality Gold Standard for QA-SRL
Question-answer driven Semantic Role Labeling (QA-SRL) has been proposed...
11/08/2019 ∙ by Paul Roit, et al. ∙
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SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
In the last year, new models and methods for pretraining and transfer le...
05/02/2019 ∙ by Alex Wang, et al. ∙
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Large-Scale QA-SRL Parsing
We present a new large-scale corpus of Question-Answer driven Semantic R...
05/14/2018 ∙ by Nicholas FitzGerald, et al. ∙
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GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
For natural language understanding (NLU) technology to be maximally usef...
04/20/2018 ∙ by Alex Wang, et al. ∙
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Crowdsourcing Question-Answer Meaning Representations
We introduce Question-Answer Meaning Representations (QAMRs), which repr...
11/16/2017 ∙ by Julian Michael, et al. ∙
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