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20182022
most citedNarrative Interpolation for Generating and Understanding Stories

26 citations · 27 across the 3 of their papers we have counts for

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11 papers · 1 filter

cs.CL2022

POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events

Sai Vallurupalli, Sayontan Ghosh, Katrin Erk +2

Knowledge about outcomes is critical for complex event understanding but is hard to acquire. We show that by pre-identifying a participant in a complex event, crowd workers are abl…

cs.CL2021

Did they answer? Subjective acts and intents in conversational discourse

Elisa Ferracane, Greg Durrett, Junyi Jessy Li +1

Discourse signals are often implicit, leaving it up to the interpreter to draw the required inferences. At the same time, discourse is embedded in a social context, meaning that in…

cs.CL202026 cited

Narrative Interpolation for Generating and Understanding Stories

Su Wang, Greg Durrett, Katrin Erk

We propose a method for controlled narrative/story generation where we are able to guide the model to produce coherent narratives with user-specified target endings by interpolatio…

cs.CL20191 cited

Attending to Entities for Better Text Understanding

Pengxiang Cheng, Katrin Erk

Recent progress in NLP witnessed the development of large-scale pre-trained language models (GPT, BERT, XLNet, etc.) based on Transformer (Vaswani et al. 2017), and in a range of e…

cs.CL2019

Query-Focused Scenario Construction

Su Wang, Greg Durrett, Katrin Erk

The news coverage of events often contains not one but multiple incompatible accounts of what happened. We develop a query-based system that extracts compatible sets of events (sce…

cs.CL2019

Evaluating Discourse in Structured Text Representations

Elisa Ferracane, Greg Durrett, Junyi Jessy Li +1

Discourse structure is integral to understanding a text and is helpful in many NLP tasks. Learning latent representations of discourse is an attractive alternative to acquiring exp…