Narrative theory for computational narrative understanding
Over the past decade, the field of natural language processing has developed a wide array
of computational methods for reasoning about narrative, including summarization …
of computational methods for reasoning about narrative, including summarization …
The gender gap tracker: Using natural language processing to measure gender bias in media
We examine gender bias in media by tallying the number of men and women quoted in
news text, using the Gender Gap Tracker, a software system we developed specifically for …
news text, using the Gender Gap Tracker, a software system we developed specifically for …
Classifying fake news articles using natural language processing to identify in-article attribution as a supervised learning estimator
Intentionally deceptive content presented under the guise of legitimate journalism is a
worldwide information accuracy and integrity problem that affects opinion forming, decision …
worldwide information accuracy and integrity problem that affects opinion forming, decision …
The project dialogism novel corpus: A dataset for quotation attribution in literary texts
K Vishnubhotla, A Hammond, G Hirst - arXiv preprint arXiv:2204.05836, 2022 - arxiv.org
We present the Project Dialogism Novel Corpus, or PDNC, an annotated dataset of
quotations for English literary texts. PDNC contains annotations for 35,978 quotations across …
quotations for English literary texts. PDNC contains annotations for 35,978 quotations across …
Sig: Speaker identification in literature via prompt-based generation
Identifying speakers of quotations in narratives is an important task in literary analysis, with
challenging scenarios including the out-of-domain inference for unseen speakers, and non …
challenging scenarios including the out-of-domain inference for unseen speakers, and non …
End-to-end Chinese speaker identification
Speaker identification (SI) in texts aims to identify the speaker (s) for each utterance in texts.
Previous studies divide SI into several sub-tasks (eg, quote extraction, named entity …
Previous studies divide SI into several sub-tasks (eg, quote extraction, named entity …
Quotebank: A corpus of quotations from a decade of news
We present Quotebank, an open corpus of 178 million quotations attributed to the speakers
who uttered them, extracted from 162 million English news articles published between 2008 …
who uttered them, extracted from 162 million English news articles published between 2008 …
Measuring information propagation in literary social networks
We present the task of modeling information propagation in literature, in which we seek to
identify pieces of information passing from character A to character B to character C, only …
identify pieces of information passing from character A to character B to character C, only …
What does the sea say to the shore? A BERT based DST style approach for speaker to dialogue attribution in novels
We present a complete pipeline to extract characters in a novel and link them to their direct-
speech utterances. Our model is divided into three independent components: extracting …
speech utterances. Our model is divided into three independent components: extracting …
Quoter: A benchmark of quote recommendation for writing
It is very common to use quotations (quotes) to make our writings more elegant or
convincing. To help people find appropriate quotes efficiently, the task of quote …
convincing. To help people find appropriate quotes efficiently, the task of quote …