Episodic Logic Meets Little Red Riding Hood: A Comprehensive, Natural Representation for Language Un

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A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories (2016, background): “Story understanding is an extremely challenging task in natural language understanding with a long-running history in AI (Charniak, 1972; Winograd, 1972; Turner, 1994; Schubert and Hwang, 2000).”
Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding (2019, background): “…natural language understanding (NLU) task with broad applications to downstream tasks such as story understanding (Charniak, 1972; Winograd, 1972; Schubert and Hwang, 2000), question answering (Pustejovsky et al., 2003a; Sa-quete et al., 2004), and text summarization (Allan et al., 2001;…”
Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework (2017, background): “…al., 2011), the Rochester Inter-active Planning System (Allen et al., 2007), Minimal Recursion Semantics (Copestake et al., 2005), Episodic Logic (Schubert and Hwang, 2000), Combinatory Categorical Grammar (Steedman, 2000), Semantic Role Labeling (Gildea and Jurafsky, 2002), Framenet Parsing…”
Extracting implicit knowledge from text (2009, background): “This comes from Schubert and Hwang (2000), as an example of what they called implicit question-answering, which involves searching for corroborative or antagonistic connections between tentative explanations and predictions evoked by a new sentence and those evoked by prior sentences.”