6 citations · 8 across the 6 of their papers we have counts for
9 papers
Affect, Body, Cognition, Demographics, and Emotion: The ABCDE of Text Features for Computational Affective Science
Jan Philip Wahle, Krishnapriya Vishnubhotla, Bela Gipp +1
Work in Computational Affective Science and Computational Social Science explores a wide variety of research questions about people, emotions, behavior, and health. Such work often…
The Emotion Dynamics of Literary Novels
Krishnapriya Vishnubhotla, Adam Hammond, Graeme Hirst +1
Stories are rich in the emotions they exhibit in their narratives and evoke in the readers. The emotional journeys of the various characters within a story are central to their app…
Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Health
Krishnapriya Vishnubhotla, Daniela Teodorescu, Mallory J. Feldman +2
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. In psychology,…
SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages
Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla +24
Exploring and quantifying semantic relatedness is central to representing language and holds significant implications across various NLP tasks. While earlier NLP research primarily…
Improving Automatic Quotation Attribution in Literary Novels
Krishnapriya Vishnubhotla, Frank Rudzicz, Graeme Hirst +1
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…
Tweet Emotion Dynamics: Emotion Word Usage in Tweets from US and Canada
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. In this paper, we introduce a massive dataset of more t…
The Project Dialogism Novel Corpus: A Dataset for Quotation Attribution in Literary Texts
Krishnapriya Vishnubhotla, Adam Hammond, Graeme Hirst
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 22 ful…
What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical Study
Mohamed Abdalla, Krishnapriya Vishnubhotla, Saif M. Mohammad
The degree of semantic relatedness of two units of language has long been considered fundamental to understanding meaning. Additionally, automatically determining relatedness has m…
Generative Adversarial Networks for text using word2vec intermediaries
Akshay Budhkar, Krishnapriya Vishnubhotla, Safwan Hossain +1
Generative adversarial networks (GANs) have shown considerable success, especially in the realistic generation of images. In this work, we apply similar techniques for the generati…