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20192023
most citedWhat time is it? Temporal Analysis of Novels

1 citations · 4 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CL2023

Analyzing Film Adaptation through Narrative Alignment

Tanzir Pial, Shahreen Salim, Charuta Pethe +2

Novels are often adapted into feature films, but the differences between the two media usually require dropping sections of the source text from the movie script. Here we study thi…

cs.CL2023★ 1 cited

STONYBOOK: A System and Resource for Large-Scale Analysis of Novels

Charuta Pethe, Allen Kim, Rajesh Prabhakar +2

Books have historically been the primary mechanism through which narratives are transmitted. We have developed a collection of resources for the large-scale analysis of novels, inc…

cs.CL2021

Cleaning Dirty Books: Post-OCR Processing for Previously Scanned Texts

Allen Kim, Charuta Pethe, Naoya Inoue +1

Substantial amounts of work are required to clean large collections of digitized books for NLP analysis, both because of the presence of errors in the scanned text and the presence…

cs.CL2020

Chapter Captor: Text Segmentation in Novels

Charuta Pethe, Allen Kim, Steven Skiena

Books are typically segmented into chapters and sections, representing coherent subnarratives and topics. We investigate the task of predicting chapter boundaries, as a proxy for t…

cs.CL2020★ 1 cited

What time is it? Temporal Analysis of Novels

Allen Kim, Charuta Pethe, Steven Skiena

Recognizing the flow of time in a story is a crucial aspect of understanding it. Prior work related to time has primarily focused on identifying temporal expressions or relative se…

cs.CL2019★ 1 cited

The Trumpiest Trump? Identifying a Subject's Most Characteristic Tweets

Charuta Pethe, Steven Skiena

The sequence of documents produced by any given author varies in style and content, but some documents are more typical or representative of the source than others. We quantify the…