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"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding
TLDR
We define five classes of temporal commonsense, and use crowdsourcing to develop a new dataset, MCTACO, that serves as a test set for this task. Expand
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Zero-Shot Open Entity Typing as Type-Compatible Grounding
TLDR
We introduce ZOE, a zero-shot entity typing approach that requires no annotated data and can flexibly identify newly defined types. Expand
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CogCompTime: A Tool for Understanding Time in Natural Language
TLDR
We present CogCompTime, a system that has these two important functionalities. Expand
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Evaluating NLP Models via Contrast Sets
TLDR
We propose a new annotation paradigm for NLP that helps to close systematic gaps in the test data. Expand
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CogCompNLP: Your Swiss Army Knife for NLP
TLDR
We present our library COGCOMPNLP which simplifies the process of design and development of NLP applications by providing modules to address different challenges: we provide a corpus-reader module that supports popular corpora in the NLP community, a module for various low-level data-structures and operations (such as search over text). Expand
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Evaluating Models' Local Decision Boundaries via Contrast Sets
TLDR
We propose a new annotation paradigm for NLP that helps to close systematic gaps in the test data. Expand
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Temporal Common Sense Acquisition with Minimal Supervision
TLDR
This work proposes a novel sequence modeling approach that exploits explicit and implicit mentions of temporal common sense, extracted from a large corpus, to build TACOLM, a temporal commonsense language model. Expand
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Effects of the Practice of Self-Selected and Programmed Physical Activity on Anthropometric and Biochemical Components
Neto CF, Neto GR, Júnior ATA, Cirilo-Sousa MS, Sousa JBC, Batista GR, Reis, VM. Effects of the Practice of SelfSelected and Programmed Physical Activity on Anthropometric and Biochemical Components.Expand
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Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text
TLDR
We propose a new model, JEANS , which jointly represents multilingual KGs and text corpora in a shared embedding scheme, and seeks to improve entity alignment with incidental supervision signals from text. Expand
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