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        <title>A Novel Annotation Schema for Conversational Humor: Capturing the Cultural Nuances in Kanyasulkam</title>
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        <namePart type="given">Vaishnavi</namePart>
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    <abstract>Humor research is a multifaceted field that has led to a better understanding of humor’s psychological effects and the development of different theories of humor. This paper’s main objective is to develop a hierarchical schema for a fine-grained annotation of Conversational Humor. Based on the Benign Violation Theory, the benignity or non-benignity of the interlocutor’s intentions is included within the framework. Under the categories mentioned above, in addition to different types of humor, the techniques utilized by these types are identified. Furthermore, a prominent play from Telugu, Kanyasulkam, is annotated to substantiate the work across cultures at multiple levels. The inter-annotator agreement is calculated to assess the accuracy and validity of the dataset. An in-depth analysis of the disagreement is performed to understand the subjectivity of humor better.</abstract>
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%0 Conference Proceedings
%T A Novel Annotation Schema for Conversational Humor: Capturing the Cultural Nuances in Kanyasulkam
%A Pamulapati, Vaishnavi
%A Purigilla, Gayatri
%A Mamidi, Radhika
%S Proceedings of the 14th Linguistic Annotation Workshop
%D 2020
%8 December
%I Association for Computational Linguistics
%C Barcelona, Spain
%F pamulapati-etal-2020-novel
%X Humor research is a multifaceted field that has led to a better understanding of humor’s psychological effects and the development of different theories of humor. This paper’s main objective is to develop a hierarchical schema for a fine-grained annotation of Conversational Humor. Based on the Benign Violation Theory, the benignity or non-benignity of the interlocutor’s intentions is included within the framework. Under the categories mentioned above, in addition to different types of humor, the techniques utilized by these types are identified. Furthermore, a prominent play from Telugu, Kanyasulkam, is annotated to substantiate the work across cultures at multiple levels. The inter-annotator agreement is calculated to assess the accuracy and validity of the dataset. An in-depth analysis of the disagreement is performed to understand the subjectivity of humor better.
%U https://aclanthology.org/2020.law-1.4
%P 34-47

Markdown (Informal)

[A Novel Annotation Schema for Conversational Humor: Capturing the Cultural Nuances in Kanyasulkam](https://aclanthology.org/2020.law-1.4) (Pamulapati et al., LAW 2020)

• A Novel Annotation Schema for Conversational Humor: Capturing the Cultural Nuances in Kanyasulkam (Pamulapati et al., LAW 2020)

ACL

• Vaishnavi Pamulapati, Gayatri Purigilla, and Radhika Mamidi. 2020. A Novel Annotation Schema for Conversational Humor: Capturing the Cultural Nuances in Kanyasulkam. In Proceedings of the 14th Linguistic Annotation Workshop, pages 34–47, Barcelona, Spain. Association for Computational Linguistics.