activity
20182020
most citedNarrative Interpolation for Generating and Understanding Stories

26 citations · 27 across the 2 of their papers we have counts for

collaborators

6 papers

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…

cs.CL2019

From News to Medical: Cross-domain Discourse Segmentation

Elisa Ferracane, Titan Page, Junyi Jessy Li +1

The first step in discourse analysis involves dividing a text into segments. We annotate the first high-quality small-scale medical corpus in English with discourse segments and an…

cs.CL2018

Implicit Argument Prediction as Reading Comprehension

Pengxiang Cheng, Katrin Erk

Implicit arguments, which cannot be detected solely through syntactic cues, make it harder to extract predicate-argument tuples. We present a new model for implicit argument predic…