no code implementations • SIGDIAL (ACL) 2021 • Katherine Atwell, Junyi Jessy Li, Malihe Alikhani
Discourse parsers recognize the intentional and inferential relationships that organize extended texts.
no code implementations • COLING 2022 • Katherine Atwell, Remi Choi, Junyi Jessy Li, Malihe Alikhani
We find that including annotator accuracy and confidence improves model accuracy, and incorporating confidence in the model’s temperature function can lead to models with significantly better-calibrated confidence measures.
1 code implementation • NAACL 2022 • Barea Sinno, Bernardo Oviedo, Katherine Atwell, Malihe Alikhani, Junyi Jessy Li
Analyzing ideology and polarization is of critical importance in advancing our grasp of modern politics.
no code implementations • 10 Jan 2025 • Yuya Asano, Sabit Hassan, Paras Sharma, Anthony Sicilia, Katherine Atwell, Diane Litman, Malihe Alikhani
Evaluated in home improvement and cooking domains with real-world users, our method improves recall and F1 of correction by 34% and 16%, respectively, while maintaining precision and false positive rate.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
no code implementations • 17 Oct 2024 • Mert İnan, Katherine Atwell, Anthony Sicilia, Lorna Quandt, Malihe Alikhani
We introduce a goal-oriented conversational AI system enhanced with American Sign Language (ASL) instructions, presenting the first implementation of such a system on a worldwide multimodal conversational AI platform.
no code implementations • 7 Oct 2024 • Katherine Atwell, Danielle Bragg, Malihe Alikhani
Ensuring that the benefits of sign language technologies are distributed equitably among all community members is crucial.
no code implementations • 1 Apr 2024 • Casey Kennington, Malihe Alikhani, Heather Pon-Barry, Katherine Atwell, Yonatan Bisk, Daniel Fried, Felix Gervits, Zhao Han, Mert Inan, Michael Johnston, Raj Korpan, Diane Litman, Matthew Marge, Cynthia Matuszek, Ross Mead, Shiwali Mohan, Raymond Mooney, Natalie Parde, Jivko Sinapov, Angela Stewart, Matthew Stone, Stefanie Tellex, Tom Williams
The ability to interact with machines using natural human language is becoming not just commonplace, but expected.
1 code implementation • 19 Feb 2023 • Meng Ye, Karan Sikka, Katherine Atwell, Sabit Hassan, Ajay Divakaran, Malihe Alikhani
Content moderation is the process of flagging content based on pre-defined platform rules.
1 code implementation • COLING 2022 • Katherine Atwell, Sabit Hassan, Malihe Alikhani
Then, we introduce the first discourse-aware style-transfer models that can effectively reduce offensiveness in Reddit text while preserving the meaning of the original text.
2 code implementations • 14 Sep 2022 • Venkata S Govindarajan, Katherine Atwell, Barea Sinno, Malihe Alikhani, David I. Beaver, Junyi Jessy Li
Current studies of bias in NLP rely mainly on identifying (unwanted or negative) bias towards a specific demographic group.
1 code implementation • 12 Jul 2022 • Anthony Sicilia, Katherine Atwell, Malihe Alikhani, Seong Jae Hwang
Multiclass neural networks are a common tool in modern unsupervised domain adaptation, yet an appropriate theoretical description for their non-uniform sample complexity is lacking in the adaptation literature.
4 code implementations • Findings (ACL) 2022 • Katherine Atwell, Anthony Sicilia, Seong Jae Hwang, Malihe Alikhani
Our results not only motivate our proposal and help us to understand its limitations, but also provide insight on the properties of discourse models and datasets which improve performance in domain adaptation.
1 code implementation • 28 Jun 2021 • Barea Sinno, Bernardo Oviedo, Katherine Atwell, Malihe Alikhani, Junyi Jessy Li
Analyzing ideology and polarization is of critical importance in advancing our grasp of modern politics.