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Convolutional Neural Networks and Multitask Strategies for Semantic Mapping of Natural Language Input to a Structured Database.

, and . ICASSP, page 6174-6178. IEEE, (2018)

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Convolutional Neural Networks and Multitask Strategies for Semantic Mapping of Natural Language Input to a Structured Database., and . ICASSP, page 6174-6178. IEEE, (2018)Character-Based Embedding Models and Reranking Strategies for Understanding Natural Language Meal Descriptions., , and . INTERSPEECH, page 3320-3324. ISCA, (2017)Convolutional Neural Networks for Dialogue State Tracking without Pre-Trained Word Vectors or Semantic Dictionaries., and . SLT, page 884-891. IEEE, (2018)Corpus for Customer Purchase Behavior Prediction in Social Media., , , and . LREC, European Language Resources Association (ELRA), (2016)Dialogue State Tracking with Convolutional Semantic Taggers., and . ICASSP, page 7220-7224. IEEE, (2019)Deep learning for spoken dialogue systems: application to nutrition.. Massachusetts Institute of Technology, Cambridge, USA, (2019)ndltd.org (oai:dspace.mit.edu:1721.1/122557).Deep Learning for Database Mapping and Asking Clarification Questions in Dialogue Systems., and . IEEE/ACM Trans. Audio, Speech & Language Processing, 27 (8): 1321-1334 (2019)Data collection and language understanding of food descriptions., , , , and . SLT, page 560-565. IEEE, (2014)Distributional semantics for understanding spoken meal descriptions., , , and . ICASSP, page 6070-6074. IEEE, (2016)Recurrent Neural Networks for Customer Purchase Prediction on Twitter., , , and . CBRecSys@RecSys, volume 1673 of CEUR Workshop Proceedings, page 47-50. CEUR-WS.org, (2016)