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Lee Kezar
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Conference and Workshop Papers
- 2023
- [c4]Lee Kezar
, Jesse Thomason
, Naomi Caselli
, Zed Sevcikova Sehyr, Elana Pontecorvo
:
The Sem-Lex Benchmark: Modeling ASL Signs and their Phonemes. ASSETS 2023: 34:1-34:10 - [c3]Lee Kezar, Jesse Thomason, Zed Sevcikova Sehyr:
Improving Sign Recognition with Phonology. EACL 2023: 2724-2729 - [c2]Lee Kezar, Tejas Srinivasan, Riley Carlin, Jesse Thomason, Zed Sevcikova Sehyr, Naomi Caselli:
Exploring Strategies for Modeling Sign Language Phonology. ESANN 2023 - 2018
- [c1]Lee Kezar:
Mixed Feelings: Natural Text Generation with Variable, Coexistent Affective Categories. ACL (3) 2018: 141-145
Informal and Other Publications
- 2024
- [i8]Rebecca Dorn, Lee Kezar, Fred Morstatter, Kristina Lerman:
Harmful Speech Detection by Language Models Exhibits Gender-Queer Dialect Bias. CoRR abs/2406.00020 (2024) - 2023
- [i7]Lee Kezar, Jesse Thomason, Zed Sevcikova Sehyr:
Improving Sign Recognition with Phonology. CoRR abs/2302.05759 (2023) - [i6]Lee Kezar, Riley Carlin, Tejas Srinivasan, Zed Sevcikova Sehyr, Naomi Caselli, Jesse Thomason:
Exploring Strategies for Modeling Sign Language Phonology. CoRR abs/2310.00195 (2023) - [i5]Lee Kezar, Elana Pontecorvo, Adele Daniels, Connor Baer, Ruth Ferster, Lauren Berger, Jesse Thomason, Zed Sevcikova Sehyr, Naomi Caselli:
The Sem-Lex Benchmark: Modeling ASL Signs and Their Phonemes. CoRR abs/2310.00196 (2023) - [i4]Lee Kezar, Jay Pujara:
Finding Pragmatic Differences Between Disciplines. CoRR abs/2310.00204 (2023) - [i3]Lee Kezar, Aryan Shukla:
Detecting Unseen Multiword Expressions in American Sign Language. CoRR abs/2310.00207 (2023) - 2022
- [i2]Ehsan Qasemi, Lee Kezar, Jay Pujara, Pedro A. Szekely:
Evaluating Machine Common Sense via Cloze Testing. CoRR abs/2201.07902 (2022) - [i1]Lee Kezar, Pei Zhou:
The Role of Facial Expressions and Emotion in ASL. CoRR abs/2201.07906 (2022)
Coauthor Index
![](https://dblp.uni-trier.de./img/cog.dark.24x24.png)
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