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4 papers · 2 filters
End-to-End Content and Plan Selection for Data-to-Text Generation
Sebastian Gehrmann, Falcon Z. Dai, Henry Elder +1
Learning to generate fluent natural language from structured data with neural networks has become an common approach for NLG. This problem can be challenging when the form of the s…
Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision
Hai Wang, Hoifung Poon
Deep learning has emerged as a versatile tool for a wide range of NLP tasks, due to its superior capacity in representation learning. But its applicability is limited by the relian…
Acoustic feature learning using cross-domain articulatory measurements
Qingming Tang, Weiran Wang, Karen Livescu
Previous work has shown that it is possible to improve speech recognition by learning acoustic features from paired acoustic-articulatory data, for example by using canonical corre…
OneNet: Joint Domain, Intent, Slot Prediction for Spoken Language Understanding
Young-Bum Kim, Sungjin Lee, Karl Stratos
In practice, most spoken language understanding systems process user input in a pipelined manner; first domain is predicted, then intent and semantic slots are inferred according t…