97 citations · 125 across the 5 of their papers we have counts for
10 papers
Modeling Complex Event Scenarios via Simple Entity-focused Questions
Mahnaz Koupaee, Greg Durrett, Nathanael Chambers +1
Event scenarios are often complex and involve multiple event sequences connected through different entity participants. Exploring such complex scenarios requires an ability to bran…
PASTA: A Dataset for Modeling Participant States in Narratives
Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen +3
The events in a narrative are understood as a coherent whole via the underlying states of their participants. Often, these participant states are not explicitly mentioned, instead…
Toward Diverse Precondition Generation
Heeyoung Kwon, Nathanael Chambers, Niranjan Balasubramanian
Language understanding must identify the logical connections between events in a discourse, but core events are often unstated due to their commonsense nature. This paper fills in…
TellMeWhy: A Dataset for Answering Why-Questions in Narratives
Yash Kumar Lal, Nathanael Chambers, Raymond Mooney +1
Answering questions about why characters perform certain actions is central to understanding and reasoning about narratives. Despite recent progress in QA, it is not clear if exist…
Conditional Generation of Temporally-ordered Event Sequences
Shih-Ting Lin, Nathanael Chambers, Greg Durrett
Models of narrative schema knowledge have proven useful for a range of event-related tasks, but they typically do not capture the temporal relationships between events. We propose…
Modeling Preconditions in Text with a Crowd-sourced Dataset
Heeyoung Kwon, Mahnaz Koupaee, Pratyush Singh +5
Preconditions provide a form of logical connection between events that explains why some events occur together and information that is complementary to the more widely studied rela…
Modeling Label Semantics for Predicting Emotional Reactions
Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan +2
Predicting how events induce emotions in the characters of a story is typically seen as a standard multi-label classification task, which usually treats labels as anonymous classes…
Generating Narrative Text in a Switching Dynamical System
Noah Weber, Leena Shekhar, Heeyoung Kwon +2
Early work on narrative modeling used explicit plans and goals to generate stories, but the language generation itself was restricted and inflexible. Modern methods use language mo…
Event Representations with Tensor-based Compositions
Noah Weber, Niranjan Balasubramanian, Nathanael Chambers
Robust and flexible event representations are important to many core areas in language understanding. Scripts were proposed early on as a way of representing sequences of events fo…
A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories
Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He +5
Representation and learning of commonsense knowledge is one of the foundational problems in the quest to enable deep language understanding. This issue is particularly challenging…