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06/16/2022
PInKS: Preconditioned Commonsense Inference with Minimal Supervision
Reasoning with preconditions such as "glass can be used for drinking wat...
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04/29/2022
Answer Consolidation: Formulation and Benchmarking
Current question answering (QA) systems primarily consider the single-an...
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04/19/2021
Extracting Temporal Event Relation with Syntactic-Guided Temporal Graph Transformer
Extracting temporal relations (e.g., before, after, concurrent) among ev...
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04/16/2021
ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning
Stories and narratives are composed based on a variety of events. Unders...
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04/12/2021
SpartQA: : A Textual Question Answering Benchmark for Spatial Reasoning
This paper proposes a question-answering (QA) benchmark for spatial reas...
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10/24/2020
Temporal Reasoning on Implicit Events from Distant Supervision
Existing works on temporal reasoning among events described in text focu...
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10/06/2020
Easy, Reproducible and Quality-Controlled Data Collection with Crowdaq
High-quality and large-scale data are key to success for AI systems. How...
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06/15/2020
Learnability with Indirect Supervision Signals
Learning from indirect supervision signals is important in real-world AI...
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06/09/2020
Foreshadowing the Benefits of Incidental Supervision
Learning theory mostly addresses the standard learning paradigm, assumin...
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05/08/2020
Temporal Common Sense Acquisition with Minimal Supervision
Temporal common sense (e.g., duration and frequency of events) is crucia...
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05/01/2020
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions
A critical part of reading is being able to understand the temporal rela...
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04/06/2020
Evaluating NLP Models via Contrast Sets
Standard test sets for supervised learning evaluate in-distribution gene...
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09/06/2019
"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding
Understanding time is crucial for understanding events expressed in natu...
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09/02/2019
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction
We propose a joint event and temporal relation extraction model with sha...
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09/01/2019
An Improved Neural Baseline for Temporal Relation Extraction
Determining temporal relations (e.g., before or after) between events ha...
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09/01/2019
Incidental Supervision from Question-Answering Signals
Human annotations are costly for many natural language processing (NLP) ...
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06/12/2019
A Structured Learning Approach to Temporal Relation Extraction
Identifying temporal relations between events is an essential step towar...
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06/12/2019
Joint Reasoning for Temporal and Causal Relations
Understanding temporal and causal relations between events is a fundamen...
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06/12/2019
CogCompTime: A Tool for Understanding Time in Natural Language Text
Automatic extraction of temporal information in text is an important com...
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06/12/2019
Partial Or Complete, That's The Question
For many structured learning tasks, the data annotation process is compl...
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01/18/2019
An information theoretic model for summarization, and some basic results
A basic information theoretic model for summarization is formulated. Her...
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04/20/2018
A Multi-Axis Annotation Scheme for Event Temporal Relations
Existing temporal relation (TempRel) annotation schemes often have low i...
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04/18/2018
Exploiting Partially Annotated Data for Temporal Relation Extraction
Annotating temporal relations (TempRel) between events described in natu...
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04/17/2018