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EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification ...
Abstract: Knowledge-based authentication is crucial for task-oriented spoken dialogue systems that offer personalised and privacy-focused services. Such systems should be able to enrol (E), verify (V), and identify (I) new and recurring users based on their personal information, e.g. postcode, name, and date of birth. In this work, we formalise the three authentication tasks and their evaluation protocols, and we present EVI, a challenging spoken multilingual dataset with 5,506 dialogues in English, Polish, and French. Our proposed models set the first competitive benchmarks, explore the challenges of multilingual natural language processing of spoken dialogue, and set directions for future research. ... : 13 pages, 7 figures, 7 tables. Accepted in NAACL 2022 (Findings) ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://dx.doi.org/10.48550/arxiv.2204.13496
https://arxiv.org/abs/2204.13496
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2
Improving Word Translation via Two-Stage Contrastive Learning ...
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3
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
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4
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
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5
Emergent Communication Pretraining for Few-Shot Machine Translation ...
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6
On the Limitations of Unsupervised Bilingual Dictionary Induction ...
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7
Fully Statistical Neural Belief Tracking ...
Mrkšić, Nikola; Vulić, Ivan. - : arXiv, 2018
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8
Scoring Lexical Entailment with a Supervised Directional Similarity Network ...
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9
A Survey Of Cross-lingual Word Embedding Models ...
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10
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints ...
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