DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4
Hits 1 – 20 of 75

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
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
BASE
Show details
8
Parameter space factorization for zero-shot learning across tasks and languages ...
BASE
Show details
9
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
10
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
BASE
Show details
11
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
BASE
Show details
12
Semantic Data Set Construction from Human Clustering and Spatial Arrangement ...
Majewska, Olga; McCarthy, Diana; Van Den Bosch, Jasper JF; Kriegeskorte, Nikolaus; Vulic, Ivan; Korhonen, Anna. - : Apollo - University of Cambridge Repository, 2021
Abstract: Abstract Research into representation learning models of lexical semantics usually utilizes some form of intrinsic evaluation to ensure that the learned representations reflect human semantic judgments. Lexical semantic similarity estimation is a widely used evaluation method, but efforts have typically focused on pairwise judgments of words in isolation, or are limited to specific contexts and lexical stimuli. There are limitations with these approaches that either do not provide any context for judgments, and thereby ignore ambiguity, or provide very specific sentential contexts that cannot then be used to generate a larger lexical resource. Furthermore, similarity between more than two items is not considered. We provide a full description and analysis of our recently proposed methodology for large-scale data set construction that produces a semantic classification of a large sample of verbs in the first phase, as well as multi-way similarity judgments made within the resultant semantic classes in the ...
URL: https://dx.doi.org/10.17863/cam.76712
https://www.repository.cam.ac.uk/handle/1810/329262
BASE
Hide details
13
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
BASE
Show details
14
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
BASE
Show details
15
Parameter space factorization for zero-shot learning across tasks and languages
In: Transactions of the Association for Computational Linguistics, 9 (2021)
BASE
Show details
16
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
BASE
Show details
17
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
BASE
Show details
18
LexFit: Lexical Fine-Tuning of Pretrained Language Models ...
BASE
Show details
19
Verb Knowledge Injection for Multilingual Event Processing ...
BASE
Show details
20
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ...
BASE
Show details

Page: 1 2 3 4

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
75
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern