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Delving Deeper into Cross-lingual Visual Question Answering ...
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Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation ...
Abstract: Multilingual task-oriented dialogue (ToD) facilitates access to services and information for many (communities of) speakers. Nevertheless, the potential of this technology is not fully realised, as current datasets for multilingual ToD - both for modular and end-to-end modelling - suffer from severe limitations. 1) When created from scratch, they are usually small in scale and fail to cover many possible dialogue flows. 2) Translation-based ToD datasets might lack naturalness and cultural specificity in the target language. In this work, to tackle these limitations we propose a novel outline-based annotation process for multilingual ToD datasets, where domain-specific abstract schemata of dialogue are mapped into natural language outlines. These in turn guide the target language annotators in writing a dialogue by providing instructions about each turn's intents and slots. Through this process we annotate a new large-scale dataset for training and evaluation of multilingual and cross-lingual ToD systems. Our ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2201.13405
https://arxiv.org/abs/2201.13405
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3
Improving Word Translation via Two-Stage Contrastive Learning ...
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Towards Zero-shot Language Modeling ...
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5
Multilingual and Cross-Lingual Intent Detection from Spoken Data ...
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6
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems ...
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7
Modelling Latent Translations for Cross-Lingual Transfer ...
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Prix-LM: Pretraining for Multilingual Knowledge Base Construction ...
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9
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
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xGQA: Cross-Lingual Visual Question Answering ...
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11
On Cross-Lingual Retrieval with Multilingual Text Encoders ...
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MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
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13
Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval ...
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14
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
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15
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
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XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning ...
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17
Emergent Communication Pretraining for Few-Shot Machine Translation ...
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Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer ...
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MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer ...
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20
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models ...
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