1 code implementation • BioNLP (ACL) 2022 • Shahla Farzana, Ashwin Deshpande, Natalie Parde
Automatic speech recognition (ASR) systems usually incorporate postprocessing mechanisms to remove disfluencies, facilitating the generation of clear, fluent transcripts that are conducive to many downstream NLP tasks.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
no code implementations • COLING 2022 • Ankit Aich, Souvik Bhattacharya, Natalie Parde
The spread of fake news can have devastating ramifications, and recent advancements to neural fake news generators have made it challenging to understand how misinformation generated by these models may best be confronted.
2 code implementations • SemEval (NAACL) 2022 • Charic Farinango Cuervo, Natalie Parde
Misogynistic memes are rampant on social media, and often convey their messages using multimodal signals (e. g., images paired with derogatory text or captions).
no code implementations • NAACL (CLPsych) 2022 • Ankit Aich, Natalie Parde
Evidence has demonstrated the presence of similarities in language use across people with various mental health conditions.
no code implementations • ACL 2022 • Mina Valizadeh, Natalie Parde
Task-oriented dialogue systems are increasingly prevalent in healthcare settings, and have been characterized by a diverse range of architectures and objectives.
1 code implementation • LREC 2022 • Ankit Aich, Natalie Parde
The COVID-19 pandemic and other global health events are unfortunately excellent environments for the creation and spread of misinformation, and the language associated with health misinformation may be typified by unique patterns and linguistic markers.
1 code implementation • LREC 2022 • Megan Herrera, Ankit Aich, Natalie Parde
Deploying recent natural language processing innovations to low-resource settings allows for state-of-the-art research findings and applications to be accessed across cultural and linguistic borders.
no code implementations • SIGDIAL (ACL) 2022 • Shahla Farzana, Natalie Parde
Dementia often manifests in dialog through specific behaviors such as requesting clarification, communicating repetitive ideas, and stalling, prompting conversational partners to probe or otherwise attempt to elicit information.
no code implementations • 18 Jun 2024 • Ankit Aich, Avery Quynh, Pamela Osseyi, Amy Pinkham, Philip Harvey, Brenda Curtis, Colin Depp, Natalie Parde
NLP in mental health has been primarily social media focused.
no code implementations • 19 Apr 2024 • Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Natalie Parde, Eugene Rohrbaugh, Philip S. Yu
Naively assuming English as a source language may hinder cross-lingual transfer for many languages by failing to consider the importance of language contact.
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.
no code implementations • 7 Jun 2023 • Mohammad Arvan, A. Seza Doğruöz, Natalie Parde
We find that despite having a close number of accepted papers to the other conferences, Interspeech has up to 40% less source code availability.
no code implementations • 2 May 2023 • Anya Belz, Craig Thomson, Ehud Reiter, Gavin Abercrombie, Jose M. Alonso-Moral, Mohammad Arvan, Anouck Braggaar, Mark Cieliebak, Elizabeth Clark, Kees Van Deemter, Tanvi Dinkar, Ondřej Dušek, Steffen Eger, Qixiang Fang, Mingqi Gao, Albert Gatt, Dimitra Gkatzia, Javier González-Corbelle, Dirk Hovy, Manuela Hürlimann, Takumi Ito, John D. Kelleher, Filip Klubicka, Emiel Krahmer, Huiyuan Lai, Chris van der Lee, Yiru Li, Saad Mahamood, Margot Mieskes, Emiel van Miltenburg, Pablo Mosteiro, Malvina Nissim, Natalie Parde, Ondřej Plátek, Verena Rieser, Jie Ruan, Joel Tetreault, Antonio Toral, Xiaojun Wan, Leo Wanner, Lewis Watson, Diyi Yang
We report our efforts in identifying a set of previous human evaluations in NLP that would be suitable for a coordinated study examining what makes human evaluations in NLP more/less reproducible.
no code implementations • 9 Sep 2021 • Philip Hossu, Natalie Parde
Grave human toll notwithstanding, the COVID-19 pandemic created uniquely unstable conditions in financial markets.
no code implementations • NAACL 2021 • Mina Valizadeh, Pardis Ranjbar-Noiey, Cornelia Caragea, Natalie Parde
Self-disclosure in online health conversations may offer a host of benefits, including earlier detection and treatment of medical issues that may have otherwise gone unaddressed.
no code implementations • SEMEVAL 2020 • Philip Hossu, Natalie Parde
In this work we describe and analyze a supervised learning system for word emphasis selection in phrases drawn from visual media as a part of the Semeval 2020 Shared Task 10.
1 code implementation • 7 Nov 2020 • Cade Gordon, Natalie Parde
Generative Adversarial Networks have recently shown promise for video generation, building off of the success of image generation while also addressing a new challenge: time.
no code implementations • LREC 2020 • Shahla Farzana, Mina Valizadeh, Natalie Parde
To facilitate the development of such an agent, we propose an annotation schema for assigning dialogue act labels to utterances in patient-interviewer conversations collected as part of a clinically-validated cognitive health screening task.
1 code implementation • ACL 2019 • Flavio Di Palo, Natalie Parde
Alzheimer's disease (AD) is an irreversible brain disease that can dramatically reduce quality of life, most commonly manifesting in older adults and eventually leading to the need for full-time care.
no code implementations • 7 Apr 2019 • Natalie Parde, Rodney D. Nielsen
Artificial intelligence is revolutionizing formal education, fueled by innovations in learning assessment, content generation, and instructional delivery.
no code implementations • WS 2019 • Yatri Modi, Natalie Parde
Visual storytelling is an intriguing and complex task that only recently entered the research arena.
no code implementations • WS 2018 • Natalie Parde, Rodney Nielsen
The automatic generation of stimulating questions is crucial to the development of intelligent cognitive exercise applications.
no code implementations • 8 Jun 2018 • Natalie Parde, Rodney D. Nielsen
Automatic sarcasm detection methods have traditionally been designed for maximum performance on a specific domain.
no code implementations • WS 2018 • Natalie Parde, Rodney Nielsen
Detecting sarcasm in text is a particularly challenging problem in computational semantics, and its solution may vary across different types of text.
no code implementations • EMNLP 2017 • Natalie Parde, Rodney Nielsen
Crowdsourcing offers a convenient means of obtaining labeled data quickly and inexpensively.