Types of Common-Sense Knowledge Needed for Recognizing Textual Entailment

By Peter LoBue, Alexander Yates. 2011

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In Natural Language Processing

Citations in the corpus

SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference (2018, background): “The NLI task requires a variety of commonsense knowledge (LoBue and Yates, 2011), which our work complements.”
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge (2019, methodology): “We deﬁned commonsense skills based on the analysis of LoBue and Yates (2011), with slight modiﬁcations to accommodate the phenomena in our data.”
Stress Test Evaluation for Natural Language Inference (2018, neutral): “pected to be challenging for entailment models (Jijkoun and De Rijke, 2006; LoBue and Yates, 2011; Roy, 2017) while some others have been contemporaneously corroborated (Gururangan et al.”
What Makes Reading Comprehension Questions Easier? (2018, methodology): “Sugawara et al. (2017) also organized 10 prerequisite skills for MRC. LoBue and Yates (2011) and Sammons et al. (2010) analyzed entailment phenomena using detailed classiﬁcations in RTE.”
Abductive Commonsense Reasoning (2019, background): “While there have been previous attempts to categorize commonsense knowledge required for entailment LoBue & Yates (2011); Clark et al. (2007), crowdsourcing this task at scale with high ﬁdelity and high agreement across annotators remains challenging.”
DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension (2019, methodology): “We refer readers to LoBue and Yates (2011) for detailed deﬁnitions.”
Probing Natural Language Inference Models through Semantic Fragments (2019, background): “This could include, for example, efforts to extend to fragments in a way that moves beyond elementary logic to systematically target the types of commonsense reasoning known to be common in existing NLI tasks (LoBue and Yates 2011).”
Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness (2018, background): “Solving this task is challenging since it requires linguistic and semantic knowledge, such as co-reference, hyper-nymy, and antonymy (LoBue and Yates, 2011), as well as pragmatic knowledge and informal reasoning (Maccartney, 2009).”
A study of the knowledge base requirements for passing an elementary science test (2013, methodology): “[15] P. LoBue, A. Yates.”
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation (2022, unknown): “(2011).”
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning (2020, background): “…from the crowd-sourced development set, and marked each one with any number of the six categories which seemed necessary for the question as a simple approximation of prior works which examine the types of knowledge required for reasoning tasks (LoBue and Yates, 2011; Boratko et al., 2018).”
Probing Prior Knowledge Needed in Challenging Chinese Machine Reading Comprehension (2019, background): “erties of famous entities. We further break down general world knowledge into eight types, some of which (marked with †) are similar to the categories for recognizing textual entailment summarized by LoBue and Yates (2011). •Arithmetic†: Thisincludesnumericalcomputation and analysis (e.g., compariso”
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation (2020, background): “Incorporating commonsense knowledge is necessary and beneﬁcial for language inference (LoBue and Yates, 2011; Bowman et al., 2015; Rashkin et al., 2018b), reading comprehension (Mihaylov and Frank, 2018; Rashkin et al., 2018a), and particularly for open-ended language generation, which usually…”
Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems (2017, methodology): “LoBue and Yates (2011) followed this and classified types of commonsense knowledge. These analytic methodologies are also available for RC, and not only for textual entailment. Furthermore, our approach is partly inspired by the bAbI tasks (Weston et al. 2015). These tasks consist of simplified ques”
Crowdsourcing Inference-Rule Evaluation (2012, background): “These issues have also been noted by Sammons et al. (2010) and LoBue and Yates (2011).”