Low-resource languages: A review of past work and future challenges
A Magueresse, V Carles, E Heetderks - arXiv preprint arXiv:2006.07264, 2020 - arxiv.org
A current problem in NLP is massaging and processing low-resource languages which lack
useful training attributes such as supervised data, number of native speakers or experts, etc …
useful training attributes such as supervised data, number of native speakers or experts, etc …
Multilingual autoregressive entity linking
We present mGENRE, a sequence-to-sequence system for the Multilingual Entity Linking
(MEL) problem—the task of resolving language-specific mentions to a multilingual …
(MEL) problem—the task of resolving language-specific mentions to a multilingual …
Neural entity linking: A survey of models based on deep learning
This survey presents a comprehensive description of recent neural entity linking (EL)
systems developed since 2015 as a result of the “deep learning revolution” in natural …
systems developed since 2015 as a result of the “deep learning revolution” in natural …
Entity linking in 100 languages
We propose a new formulation for multilingual entity linking, where language-specific
mentions resolve to a language-agnostic Knowledge Base. We train a dual encoder in this …
mentions resolve to a language-agnostic Knowledge Base. We train a dual encoder in this …
A survey on challenges and advances in natural language processing with a focus on legal informatics and low-resource languages
P Krasadakis, E Sakkopoulos, VS Verykios - Electronics, 2024 - mdpi.com
The field of Natural Language Processing (NLP) has experienced significant growth in
recent years, largely due to advancements in Deep Learning technology and especially …
recent years, largely due to advancements in Deep Learning technology and especially …
NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links
This paper describes NEREL—a Russian news dataset suited for three tasks: nested named
entity recognition, relation extraction, and entity linking. Compared to flat entities, nested …
entity recognition, relation extraction, and entity linking. Compared to flat entities, nested …
Hansel: a Chinese few-shot and zero-shot entity linking benchmark
Modern Entity Linking (EL) systems entrench a popularity bias, yet there is no dataset
focusing on tail and emerging entities in languages other than English. We present Hansel …
focusing on tail and emerging entities in languages other than English. We present Hansel …
Improving candidate generation for low-resource cross-lingual entity linking
Cross-lingual entity linking (XEL) is the task of finding referents in a target-language
knowledge base (KB) for mentions extracted from source-language texts. The first step of (X) …
knowledge base (KB) for mentions extracted from source-language texts. The first step of (X) …
Multilingual end to end entity linking
Entity Linking is one of the most common Natural Language Processing tasks in practical
applications, but so far efficient end-to-end solutions with multilingual coverage have been …
applications, but so far efficient end-to-end solutions with multilingual coverage have been …
MELHISSA: a multilingual entity linking architecture for historical press articles
E Linhares Pontes, LA Cabrera-Diego… - International journal on …, 2022 - Springer
Digital libraries have a key role in cultural heritage as they provide access to our culture and
history by indexing books and historical documents (newspapers and letters). Digital …
history by indexing books and historical documents (newspapers and letters). Digital …