Keynote: Graph-based Approaches for Spoken Language Understanding
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Knowledge GraphsQuestion AnsweringSpeech RecognitionSpoken Language UnderstandingSimilar Papers 제목 키워드 기반
Keynote: Statistical Approaches to Open-domain Spoken Dialogue Systems
2014-06-01 · WS 2014 6
· Steve Young
Spoken Dialogue Systems
The Alexa Meaning Representation Language
2018-06-01 · NAACL 2018 6
· Thomas Kollar, Danielle Berry, Lauren Stuart, Karolina Owczarzak 외
This paper introduces a meaning representation for spoken language understanding. The Alexa meaning representation language (AMRL), unlike previous approaches, which factor spoken utterances into domains, provides a comm…
Spoken Language UnderstandingGraph-Based Semi-Supervised Conditional Random Fields For Spoken Language Understanding Using Unaligned Data
2017-01-30 · ALTA 2014 11
· Mohammad Aliannejadi, Masoud Kiaeeha, Shahram Khadivi, Saeed Shiry Ghidary
We experiment graph-based Semi-Supervised Learning (SSL) of Conditional Random Fields (CRF) for the application of Spoken Language Understanding (SLU) on unaligned data. The aligned labels for examples are obtained using…
Spoken Language UnderstandingPro-HAN: A Heterogeneous Graph Attention Network for Profile-Based Spoken Language Understanding
2024-02-06
· Dechuan Teng, Chunlin Lu, Xiao Xu, Wanxiang Che 외
Recently, Profile-based Spoken Language Understanding (SLU) has gained increasing attention, which aims to incorporate various types of supplementary profile information (i.e., Knowledge Graph, User Profile, Context Awar…
Graph AttentionSpoken Language UnderstandingKeynote Lecture 2: Neural (and other Machine Learning) Approaches to Text Normalization
2016-12-01 · WS 2016 12
· Richard Sproat
BIG-bench Machine LearningText Normalization