DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5 6
Hits 1 – 20 of 109

1
Delving Deeper into Cross-lingual Visual Question Answering ...
BASE
Show details
2
Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation ...
BASE
Show details
3
Improving Word Translation via Two-Stage Contrastive Learning ...
BASE
Show details
4
Towards Zero-shot Language Modeling ...
BASE
Show details
5
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems ...
BASE
Show details
6
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
BASE
Show details
7
Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification ...
Zhu, Yi; Shareghi, Ehsan; Li, Yingzhen. - : arXiv, 2021
BASE
Show details
8
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
BASE
Show details
9
Parameter space factorization for zero-shot learning across tasks and languages ...
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
Hide details
10
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
Liu, Qianchu; Liu, Fangyu; Collier, Nigel. - : Apollo - University of Cambridge Repository, 2021
BASE
Show details
11
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
BASE
Show details
12
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
BASE
Show details
13
Semantic Data Set Construction from Human Clustering and Spatial Arrangement ...
Majewska, Olga; McCarthy, Diana; Van Den Bosch, Jasper JF. - : Apollo - University of Cambridge Repository, 2021
BASE
Show details
14
Context vs Target Word: Quantifying Biases in Lexical Semantic Datasets ...
BASE
Show details
15
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
BASE
Show details
16
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
BASE
Show details
17
Parameter space factorization for zero-shot learning across tasks and languages
In: Transactions of the Association for Computational Linguistics, 9 (2021)
BASE
Show details
18
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
BASE
Show details
19
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
BASE
Show details
20
Improving Machine Translation of Rare and Unseen Word Senses ...
BASE
Show details

Page: 1 2 3 4 5 6

Catalogues
Bibliographies
Linked Open Data catalogues
Online resources
Open access documents
109
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern