Sharone Horowit-Hendler | SUNY: University at Albany (original) (raw)

Address: Rensselaer, New York, United States

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Papers by Sharone Horowit-Hendler

Research paper thumbnail of Creating Inclusive Voices for the 21st Century: A Non-Binary Text-to-Speech for Conversational Assistants

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Apr 19, 2023

Research paper thumbnail of Navigating the Binary: Gender Presentation of Non-Binary Individuals

Much of linguistic study of gender has focused on the binary: “men’s language” and “women’s langu... more Much of linguistic study of gender has focused on the binary: “men’s language” and “women’s language”. Similarly, most of society recognizes only two genders with the assumption that gender is connected to body and that everyone will map onto this binary. How then do non-binary individuals present themselves when they desire to be perceived outside of this dichotomy? This study re-examines the question of which masculine, feminine, and non-binary markers exist, and explores the ways that participants are aware of and utilize these signifiers in performing their gender identities. This study uses self-reported semi-formal interviews with 26 non-cisgender individuals in the general Boston area to create a schema of gendered signifiers and examine awareness of gender presentation. Discourse analysis of these interviews along with that of participant observation is then used to analyze gender presentation in practice, using the emergent schema. The findings suggest that currently no gen...

Research paper thumbnail of Building a Cross-document Event-Event Relation Corpus

Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016 (LAW-X 2016), 2016

We propose a new task of extracting eventevent relations across documents. We present our efforts... more We propose a new task of extracting eventevent relations across documents. We present our efforts at designing an annotation schema and building a corpus for this task. Our schema includes five main types of relations: Inheritance, Expansion, Contingency, Comparison and Temporality, along with 21 subtypes. We also lay out the main challenges based on detailed inter-annotator disagreement and error analysis. We hope these resources can serve as a benchmark to encourage research on this new problem.

Research paper thumbnail of Creating Inclusive Voices for the 21st Century: A Non-Binary Text-to-Speech for Conversational Assistants

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Apr 19, 2023

Research paper thumbnail of Navigating the Binary: Gender Presentation of Non-Binary Individuals

Much of linguistic study of gender has focused on the binary: “men’s language” and “women’s langu... more Much of linguistic study of gender has focused on the binary: “men’s language” and “women’s language”. Similarly, most of society recognizes only two genders with the assumption that gender is connected to body and that everyone will map onto this binary. How then do non-binary individuals present themselves when they desire to be perceived outside of this dichotomy? This study re-examines the question of which masculine, feminine, and non-binary markers exist, and explores the ways that participants are aware of and utilize these signifiers in performing their gender identities. This study uses self-reported semi-formal interviews with 26 non-cisgender individuals in the general Boston area to create a schema of gendered signifiers and examine awareness of gender presentation. Discourse analysis of these interviews along with that of participant observation is then used to analyze gender presentation in practice, using the emergent schema. The findings suggest that currently no gen...

Research paper thumbnail of Building a Cross-document Event-Event Relation Corpus

Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016 (LAW-X 2016), 2016

We propose a new task of extracting eventevent relations across documents. We present our efforts... more We propose a new task of extracting eventevent relations across documents. We present our efforts at designing an annotation schema and building a corpus for this task. Our schema includes five main types of relations: Inheritance, Expansion, Contingency, Comparison and Temporality, along with 21 subtypes. We also lay out the main challenges based on detailed inter-annotator disagreement and error analysis. We hope these resources can serve as a benchmark to encourage research on this new problem.

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