no code implementations • NAACL (CLPsych) 2021 • Do June Min, Verónica Pérez-Rosas, Rada Mihalcea
Automatic speech recognition (ASR) is a crucial step in many natural language processing (NLP) applications, as often available data consists mainly of raw speech.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
1 code implementation • 20 Mar 2024 • Do June Min, Veronica Perez-Rosas, Kenneth Resnicow, Rada Mihalcea
In this paper, we study the problem of multi-reward reinforcement learning to jointly optimize for multiple text qualities for natural language generation.
no code implementations • 14 Nov 2023 • Do June Min, Paloma Sodhi, Ramya Ramakrishnan
Task-oriented dialogue (TOD) systems aim to achieve specific goals through interactive dialogue.
no code implementations • 14 Nov 2023 • Do June Min, Verónica Pérez-Rosas, Kenneth Resnicow, Rada Mihalcea
We introduce VERVE, a template-based rewriting system with paraphrase-augmented training and adaptive template updating.
no code implementations • 21 May 2023 • Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan Nwatu, Veronica Perez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea
Not surprisingly, this has, in turn, made many NLP researchers -- especially those at the beginning of their careers -- worry about what NLP research area they should focus on.
no code implementations • 23 Mar 2023 • Do June Min, Andreas Stolcke, Anirudh Raju, Colin Vaz, Di He, Venkatesh Ravichandran, Viet Anh Trinh
In this paper, we aim to provide a solution for adaptive endpointing by proposing an efficient method for choosing an optimal endpointing configuration given utterance-level audio features in an online setting, while avoiding hyperparameter grid-search.