DE eng

Search in the Catalogues and Directories

Hits 1 – 13 of 13

1
Analogy Training Multilingual Encoders ...
Abstract: Language encoders encode words and phrases in ways that capture their local semantic relatedness, but are known to be globally inconsistent. Global inconsistency can seemingly be corrected for, in part, by leveraging signals from knowledge bases, but previous results are partial and limited to monolingual English encoders. We extract a large-scale multilingual, multi-word analogy dataset from Wikidata for diagnosing and correcting for global inconsistencies and implement a four-way Siamese BERT architecture for grounding multilingual BERT (mBERT) in Wikidata through analogy training. We show that analogy training not only improves the global consistency of mBERT, as well as the isomorphism of language-specific subspaces, but also leads to significant gains on downstream tasks such as bilingual dictionary induction and sentence retrieval. ...
URL: https://dx.doi.org/10.17863/cam.66858
https://www.repository.cam.ac.uk/handle/1810/319733
BASE
Hide details
2
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer ...
BASE
Show details
3
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models ...
BASE
Show details
4
UNKs Everywhere: Adapting Multilingual Language Models to New Scripts ...
BASE
Show details
5
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer ...
Pfeiffer, Jonas; Vulic, Ivan; Gurevych, Iryna. - : Apollo - University of Cambridge Repository, 2020
BASE
Show details
6
Are All Good Word Vector Spaces Isomorphic?
Vulic, Ivan; Ruder, Sebastian; Søgaard, Anders. - : Association for Computational Linguistics, 2020. : Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), 2020
BASE
Show details
7
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer
Vulic, Ivan; Pfeiffer, Jonas; Ruder, Sebastian. - : Association for Computational Linguistics, 2020. : Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), 2020
BASE
Show details
8
AdapterHub: A Framework for Adapting Transformers
Pfeiffer, Jonas; Ruckle, Andreas; Poth, Clifton. - : Association for Computational Linguistics, 2020. : Proceedings of the Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP 2020), 2020
BASE
Show details
9
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions ...
BASE
Show details
10
Specializing distributional vectors of all words for lexical entailment
Ponti, Edoardo Maria; Kamath, Aishwarya; Pfeiffer, Jonas. - : Association for Computational Linguistics, 2019
BASE
Show details
11
How to (properly) evaluate cross-lingual word embeddings: On strong baselines, comparative analyses, and some misconceptions
Glavaš, Goran; Litschko, Robert; Ruder, Sebastian. - : Association for Computational Linguistics, 2019
BASE
Show details
12
On the Limitations of Unsupervised Bilingual Dictionary Induction ...
BASE
Show details
13
A Survey Of Cross-lingual Word Embedding Models ...
BASE
Show details

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
13
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern