no code implementations • GWC 2016 • Shomir Wilson, Alan Black, Jon Oberlander
Writing intended to inform frequently contains references to document entities (DEs), a mixed class that includes orthographically structured items (e. g., illustrations, sections, lists) and discourse entities (arguments, suggestions, points).
1 code implementation • Findings (ACL) 2022 • Xinjian Li, Florian Metze, David Mortensen, Shinji Watanabe, Alan Black
Grapheme-to-Phoneme (G2P) has many applications in NLP and speech fields.
no code implementations • 14 Jul 2022 • Siddhant Arora, Siddharth Dalmia, Xuankai Chang, Brian Yan, Alan Black, Shinji Watanabe
End-to-end (E2E) models are becoming increasingly popular for spoken language understanding (SLU) systems and are beginning to achieve competitive performance to pipeline-based approaches.
2 code implementations • ICLR 2021 • Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan Black, Yulia Tsvetkov
To successfully negotiate a deal, it is not enough to communicate fluently: pragmatic planning of persuasive negotiation strategies is essential.
no code implementations • 24 Feb 2021 • Akshat Gupta, Sai Krishna Rallabandi, Alan Black
Using task-specific pre-training and leveraging cross-lingual transfer are two of the most popular ways to handle code-switched data.
no code implementations • EMNLP 2020 • Khyathi Raghavi Chandu, Ruo-Ping Dong, Alan Black
In this paper, we tackle this problem by using \textit{infilling} techniques involving prediction of missing steps in a narrative while generating textual descriptions from a sequence of images.
1 code implementation • 25 Sep 2019 • Nishant Gurunath, Sai Krishna Rallabandi, Alan Black
We show that the constraints on the latent space of a VAE can be in-fact used to separate speech and music, independent of the language of the speech.
no code implementations • WS 2019 • Elijah Mayfield, Alan Black
In group decision-making, the nuanced process of conflict and resolution that leads to consensus formation is closely tied to the quality of decisions made.
no code implementations • WS 2018 • Wenchao Du, Alan Black
Data augmentation seeks to manipulate the available data for training to improve the generalization ability of models.
no code implementations • 14 Feb 2018 • Odette Scharenborg, Laurent Besacier, Alan Black, Mark Hasegawa-Johnson, Florian Metze, Graham Neubig, Sebastian Stueker, Pierre Godard, Markus Mueller, Lucas Ondel, Shruti Palaskar, Philip Arthur, Francesco Ciannella, Mingxing Du, Elin Larsen, Danny Merkx, Rachid Riad, Liming Wang, Emmanuel Dupoux
We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and scientific issues surrounding the discovery of linguistic units (subwords and words) in a language without orthography.
no code implementations • LREC 2012 • Kallirroi Georgila, Alan Black, Kenji Sagae, David Traum
To determine the best trade-off between performance and cost, we perform a systematic evaluation of human and synthesized voices with regard to naturalness, conversational aspect, and likability.