CMULAB: An Open-Source Framework for Training and Deployment of Natural Language Processing Models.
CoRR, 2024
AUTOLEX: An Automatic Framework for Linguistic Exploration.
CoRR, 2022
Reducing Confusion in Active Learning for Part-Of-Speech Tagging.
Trans. Assoc. Comput. Linguistics, 2021
Automatic Extraction of Rules Governing Morphological Agreement.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis.
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Proceedings of the 2019 Text Analysis Conference, 2019
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
The ARIEL-CMU situation frame detection pipeline for LoReHLT16: a model translation approach.
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Mach. Transl., 2018
Parser combinators for Tigrinya and Oromo morphology.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
Semi-supervised training in low-resource ASR and KWS.
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Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Multilingual deep bottle neck features: a study on language selection and training techniques.
Proceedings of the 11th International Workshop on Spoken Language Translation: Papers, 2014
Identification and modeling of word fragments in spontaneous speech.
Proceedings of the IEEE International Conference on Acoustics, 2013
Models of tone for tonal and non-tonal languages.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013