no code implementations • LREC 2022 • Jennifer Tracey, Owen Rambow, Claire Cardie, Adam Dalton, Hoa Trang Dang, Mona Diab, Bonnie Dorr, Louise Guthrie, Magdalena Markowska, Smaranda Muresan, Vinodkumar Prabhakaran, Samira Shaikh, Tomek Strzalkowski
We present the BeSt corpus, which records cognitive state: who believes what (i. e., factuality), and who has what sentiment towards what.
no code implementations • 12 Jul 2024 • Sangpil Youm, Brodie Mather, Chathuri Jayaweera, Juliana Prada, Bonnie Dorr
DAHRS improves the accuracy of SRL projection without additional transformer-based machinery, beating XSRL in both human and automatic comparisons, and advancing beyond headwords to accommodate phrase-level SRL projection (e. g., EN-FR, EN-ES).
no code implementations • Findings of the Association for Computational Linguistics 2020 • Sashank Santhanam, Zhuo Cheng, Brodie Mather, Bonnie Dorr, Archna Bhatia, Bryanna Hebenstreit, Alan Zemel, Adam Dalton, Tomek Strzalkowski, Samira Shaikh
Achieving true human-like ability to conduct a conversation remains an elusive goal for open-ended dialogue systems.
no code implementations • RANLP 2019 • Benyamin Ahmadnia, Bonnie Dorr
Analytically, the performance of a PBSMT system is enhanced by using the conditional probabilities of phrase pairs computed by an LSTM encoder-decoder as an additional feature in the existing log-linear model.
no code implementations • RANLP 2019 • Benyamin Ahmadnia, Bonnie Dorr
The quality of Neural Machine Translation (NMT), as a data-driven approach, massively depends on quantity, quality, and relevance of the training dataset.
Low Resource Neural Machine Translation Low-Resource Neural Machine Translation +3
no code implementations • COLING 2018 • Bonnie Dorr, Clare Voss
We describe a resource derived through extraction of a set of argument realizations from an existing lexical-conceptual structure (LCS) Verb Database of 500 verb classes (containing a total of 9525 verb entries) to include information about realization of arguments for a range of different verb classes.
no code implementations • WS 2018 • Bonnie Dorr, Clare Voss
This position paper argues that, while prior work in spatial language understanding for tasks such as robot navigation focuses on mapping natural language into deep conceptual or non-linguistic representations, it is possible to systematically derive regular patterns of spatial language usage from existing lexical-semantic resources.
no code implementations • WS 2018 • Bonnie Dorr, Mari Olsen
Prior methodologies for understanding spatial language have treated literal expressions such as {``}Mary pushed the car over the edge{''} differently from metaphorical extensions such as {``}Mary{'}s job pushed her over the edge{''}.
no code implementations • WS 2017 • Archna Bhatia, Bonnie Dorr, Kristy Hollingshead, Samuel L. Phillips, Barbara McKenzie
Approximately 80{\%} to 95{\%} of patients with Amyotrophic Lateral Sclerosis (ALS) eventually develop speech impairments, such as defective articulation, slow laborious speech and hypernasality.
no code implementations • WS 2012 • Vinodkumar Prabhakaran, Michael Bloodgood, Mona Diab, Bonnie Dorr, Lori Levin, Christine D. Piatko, Owen Rambow, Benjamin Van Durme
We explore training an automatic modality tagger.
no code implementations • 4 Feb 2014 • Vahed Qazvinian, Dragomir R. Radev, Saif M. Mohammad, Bonnie Dorr, David Zajic, Michael Whidby, Taesun Moon
Researchers and scientists increasingly find themselves in the position of having to quickly understand large amounts of technical material.