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1
Discrete and Soft Prompting for Multilingual Models ...
Zhao, Mengjie; Schütze, Hinrich. - : arXiv, 2021
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2
Discrete and Soft Prompting for Multilingual Models ...
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3
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ...
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4
Quantifying the Contextualization of Word Representations with Semantic Class Probing ...
Zhao, Mengjie; Dufter, Philipp; Yaghoobzadeh, Yadollah. - : Association for Computational Linguistics, 2020
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5
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ...
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6
O domínio das palavras homógrafas e parónimas: um estudo com alunos chineses
Zhao Mengjie. - 2020
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7
A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction
Zhao, Mengjie; Schütze, Hinrich. - : Ludwig-Maximilians-Universität München, 2019
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8
A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction ...
Zhao, Mengjie; Schütze, Hinrich. - : Association for Computational Linguistics, 2019
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9
Embedding Learning Through Multilingual Concept Induction
Fraser, Alexander; Zhao, Mengjie; Dufter, Philipp. - : Ludwig-Maximilians-Universität München, 2018
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10
Embedding Learning Through Multilingual Concept Induction ...
Abstract: We present a new method for estimating vector space representations of words: embedding learning by concept induction. We test this method on a highly parallel corpus and learn semantic representations of words in 1259 different languages in a single common space. An extensive experimental evaluation on crosslingual word similarity and sentiment analysis indicates that concept-based multilingual embedding learning performs better than previous approaches. ... : ACL 2018 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1801.06807
https://dx.doi.org/10.48550/arxiv.1801.06807
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11
Multilingual Embeddings Jointly Induced from Contexts and Concepts: Simple, Strong and Scalable ...
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12
Embedding Learning Through Multilingual Concept Induction ...
Dufter, Philipp; Zhao, Mengjie; Schmitt, Martin. - : Universitätsbibliothek der Ludwig-Maximilians-Universität München, 2018
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