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Learning to Retrieve Engaging Follow-Up Queries.

, , , , , , and . EACL (Findings), page 1964-1971. Association for Computational Linguistics, (2023)

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Named entity recognition from Conversational Telephone Speech leveraging Word Confusion Networks for training and recognition., , , , and . ICASSP, page 5572-5575. IEEE, (2011)Distributed training of large scale exponential language models., , and . ICASSP, page 5520-5523. IEEE, (2011)Application specific loss minimization using gradient boosting., , , and . ICASSP, page 4880-4883. IEEE, (2011)Fast Neural Network Language Model Lookups at N-Gram Speeds., , and . INTERSPEECH, page 274-278. ISCA, (2017)Query-by-example Spoken Term Detection For OOV terms., , and . ASRU, page 404-409. IEEE, (2009)Static interpolation of exponential n-gram models using features of features., , , and . ICASSP, page 4878-4882. IEEE, (2014)End-to-end speech recognition and keyword search on low-resource languages., , , , and . ICASSP, page 5280-5284. IEEE, (2017)Joint training of interpolated exponential n-gram models., , , , , , and . ASRU, page 25-30. IEEE, (2013)Leveraging word confusion networks for named entity modeling and detection from conversational telephone speech., , , , and . Speech Commun., 54 (3): 491-502 (2012)A split lexicon approach for improved recognition of spoken names., , and . Speech Commun., 48 (9): 1126-1136 (2006)