no code implementations • 30 Sep 2023 • Lee Kezar, Aryan Shukla
Multiword expressions present unique challenges in many translation tasks.
no code implementations • NAACL (sdp) 2021 • Lee Kezar, Jay Pujara
Using a corpus of scholarly documents across 19 disciplines and state-of-the-art language modeling techniques, we learn a fixed set of domain-agnostic descriptors for document sections and "retrofit" the corpus to these descriptors (also referred to as "normalization").
1 code implementation • 30 Sep 2023 • Lee Kezar, Elana Pontecorvo, Adele Daniels, Connor Baer, Ruth Ferster, Lauren Berger, Jesse Thomason, Zed Sevcikova Sehyr, Naomi Caselli
Sign language recognition and translation technologies have the potential to increase access and inclusion of deaf signing communities, but research progress is bottlenecked by a lack of representative data.
1 code implementation • 30 Sep 2023 • Lee Kezar, Riley Carlin, Tejas Srinivasan, Zed Sehyr, Naomi Caselli, Jesse Thomason
Specifically, we explore how learning strategies like multi-task and curriculum learning can leverage mutually useful information between phoneme types to facilitate better modeling of sign language phonemes.
2 code implementations • 11 Feb 2023 • Lee Kezar, Jesse Thomason, Zed Sevcikova Sehyr
We use insights from research on American Sign Language (ASL) phonology to train models for isolated sign language recognition (ISLR), a step towards automatic sign language understanding.
no code implementations • 19 Jan 2022 • Ehsan Qasemi, Lee Kezar, Jay Pujara, Pedro Szekely
Language models (LMs) show state of the art performance for common sense (CS) question answering, but whether this ability implies a human-level mastery of CS remains an open question.
no code implementations • 19 Jan 2022 • Lee Kezar, Pei Zhou
There is little prior work on quantifying the relationships between facial expressions and emotionality in American Sign Language.
no code implementations • ACL 2018 • Lee Kezar
Conversational agents, having the goal of natural language generation, must rely on language models which can integrate emotion into their responses.