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Hits 1 – 20 of 34
1
XHate-999: analyzing and detecting abusive language across domains and languages
Glavaš, Goran
[Verfasser];
Karan, Mladen
[Verfasser];
Vulic, Ivan
[Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2021
DNB Subject Category Language
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2
Specializing unsupervised pretraining models for word-level semantic similarity
Lauscher, Anne
[Verfasser];
Vulic, Ivan
[Verfasser];
Ponti, Edoardo Maria
[Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2021
DNB Subject Category Language
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3
Towards instance-level parser selection for cross-lingual transfer of dependency parsers
Litschko, Robert
[Verfasser];
Vulic, Ivan
[Verfasser];
Agić, Želiko
[Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2021
DNB Subject Category Language
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4
SimLex-999 Slovenian translation SimLex-999-sl 1.0
Pollak, Senja
;
Vulić, Ivan
;
Pelicon, Andraž
. - : University of Ljubljana, 2021
BASE
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5
Towards Zero-shot Language Modeling ...
Ponti, Edoardo Maria
;
Vulić, Ivan
;
Cotterell, Ryan
. - : arXiv, 2021
BASE
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6
Multilingual and Cross-Lingual Intent Detection from Spoken Data ...
Gerz, Daniela
;
Su, Pei-Hao
;
Kusztos, Razvan
. - : arXiv, 2021
BASE
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7
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems ...
Razumovskaia, Evgeniia
;
Glavaš, Goran
;
Majewska, Olga
. - : arXiv, 2021
BASE
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8
Modelling Latent Translations for Cross-Lingual Transfer ...
Ponti, Edoardo Maria
;
Kreutzer, Julia
;
Vulić, Ivan
. - : arXiv, 2021
BASE
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9
Prix-LM: Pretraining for Multilingual Knowledge Base Construction ...
Zhou, Wenxuan
;
Liu, Fangyu
;
Vulić, Ivan
. - : arXiv, 2021
BASE
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10
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
Liu, Fangyu
;
Vulić, Ivan
;
Korhonen, Anna
. - : arXiv, 2021
BASE
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11
xGQA: Cross-Lingual Visual Question Answering ...
Pfeiffer, Jonas
;
Geigle, Gregor
;
Kamath, Aishwarya
. - : arXiv, 2021
BASE
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12
On Cross-Lingual Retrieval with Multilingual Text Encoders ...
Litschko, Robert
;
Vulić, Ivan
;
Ponzetto, Simone Paolo
. - : arXiv, 2021
BASE
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13
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
Liu, Qianchu
;
Liu, Fangyu
;
Collier, Nigel
. - : arXiv, 2021
BASE
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14
Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval ...
Litschko, Robert
;
Vulić, Ivan
;
Ponzetto, Simone Paolo
. - : arXiv, 2021
BASE
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15
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Barikeri, Soumya
;
Glavaš, Goran
. - : Underline Science Inc., 2021
BASE
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16
Parameter space factorization for zero-shot learning across tasks and languages ...
Ponti, Edoardo M.
;
Vulić, Ivan
;
Cotterell, Ryan
;
Parovic, Marinela
;
Reichart, Roi
;
Korhonen, Anna
. - : ETH Zurich, 2021
Abstract:
Most combinations of NLP tasks and language varieties lack in-domain examples for supervised training because of the paucity of annotated data. How can neural models make sample-efficient generalizations from task–language combinations with available data to low-resource ones? In this work, we propose a Bayesian generative model for the space of neural parameters. We assume that this space can be factorized into latent variables for each language and each task. We infer the posteriors over such latent variables based on data from seen task–language combinations through variational inference. This enables zero-shot classification on unseen combinations at prediction time. For instance, given training data for named entity recognition (NER) in Vietnamese and for part-of-speech (POS) tagging in Wolof, our model can perform accurate predictions for NER in Wolof. In particular, we experiment with a typologically diverse sample of 33 languages from 4 continents and 11 families, and show that our model yields ... : Transactions of the Association for Computational Linguistics, 9 ...
URL:
https://dx.doi.org/10.3929/ethz-b-000498270
http://hdl.handle.net/20.500.11850/498270
BASE
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17
Analogy Training Multilingual Encoders ...
Garneau, Nicolas
;
Hartmann, Mareike
;
Sandholm, Anders
. - : Apollo - University of Cambridge Repository, 2021
BASE
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18
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
Liu, Qianchu
;
Liu, Fangyu
;
Collier, Nigel
. - : Apollo - University of Cambridge Repository, 2021
BASE
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19
UNKs Everywhere: Adapting Multilingual Language Models to New Scripts ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Iryna
;
., Sebastian
. - : Underline Science Inc., 2021
BASE
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20
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
., Iryna
;
., Sebastian
. - : Underline Science Inc., 2021
BASE
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