Search Results for author: Krishnapriya Vishnubhotla

Found 12 papers, 9 papers with code

TUSC: Emotion Word Usage in Tweets from US and Canada

1 code implementation LREC 2022 Krishnapriya Vishnubhotla, Saif M. Mohammad

Over the last decade, Twitter has emerged as one of the most influential forums for social, political, and health discourse.

The Emotion Dynamics of Literary Novels

1 code implementation4 Mar 2024 Krishnapriya Vishnubhotla, Adam Hammond, Graeme Hirst, Saif M. Mohammad

The emotional journeys of the various characters within a story are central to their appeal.

Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Health

no code implementations4 Mar 2024 Krishnapriya Vishnubhotla, Daniela Teodorescu, Mallory J. Feldman, Kristen A. Lindquist, Saif M. Mohammad

We are united in how emotions are central to shaping our experiences; and yet, individuals differ greatly in how we each identify, categorize, and express emotions.

Improving Automatic Quotation Attribution in Literary Novels

no code implementations7 Jul 2023 Krishnapriya Vishnubhotla, Frank Rudzicz, Graeme Hirst, Adam Hammond

Current models for quotation attribution in literary novels assume varying levels of available information in their training and test data, which poses a challenge for in-the-wild inference.

coreference-resolution

Tweet Emotion Dynamics: Emotion Word Usage in Tweets from US and Canada

1 code implementation11 Apr 2022 Krishnapriya Vishnubhotla, Saif M. Mohammad

Over the last decade, Twitter has emerged as one of the most influential forums for social, political, and health discourse.

What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical Study

2 code implementations10 Oct 2021 Mohamed Abdalla, Krishnapriya Vishnubhotla, Saif M. Mohammad

We show that human intuition regarding relatedness of sentence pairs is highly reliable, with a repeat annotation correlation of 0. 84.

Question Answering Semantic Similarity +2

Are Fictional Voices Distinguishable? Classifying Character Voices in Modern Drama

no code implementations WS 2019 Krishnapriya Vishnubhotla, Adam Hammond, Graeme Hirst

According to the literary theory of Mikhail Bakhtin, a dialogic novel is one in which characters speak in their own distinct voices, rather than serving as mouthpieces for their authors.

General Classification text-classification +2

Generative Adversarial Networks for text using word2vec intermediaries

1 code implementation WS 2019 Akshay Budhkar, Krishnapriya Vishnubhotla, Safwan Hossain, Frank Rudzicz

Generative adversarial networks (GANs) have shown considerable success, especially in the realistic generation of images.

Word Embeddings

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