Multilingual Named Entity Recognition

12 papers with code • 0 benchmarks • 2 datasets

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Most implemented papers

Robust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features

ixa-ehu/ixa-pipe-nerc 31 Jan 2017

Finally, the results show that our emphasis on clustering features is crucial to develop robust out-of-domain models.

Tuning Multilingual Transformers for Named Entity Recognition on Slavic Languages

deepmipt/Slavic-BERT-NER Conference: Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing 2019

Our paper addresses the problem of multilingual named entity recognition on the material of 4 languages: Russian, Bulgarian, Czech and Polish.

Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation

bheinzerling/subword-sequence-tagging ACL 2019

Pretrained contextual and non-contextual subword embeddings have become available in over 250 languages, allowing massively multilingual NLP.

Tuning Multilingual Transformers for Language-Specific Named Entity Recognition

deepmipt/Slavic-BERT-NER WS 2019

Our paper addresses the problem of multilingual named entity recognition on the material of 4 languages: Russian, Bulgarian, Czech and Polish.

Sources of Transfer in Multilingual Named Entity Recognition

davidandym/multilingual-NER ACL 2020

However, a straightforward implementation of this simple idea does not always work in practice: naive training of NER models using annotated data drawn from multiple languages consistently underperforms models trained on monolingual data alone, despite having access to more training data.

Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0

bigscience-workshop/historical_texts BigScience (ACL) 2022

In this work, we explore whether the recently demonstrated zero-shot abilities of the T0 model extend to Named Entity Recognition for out-of-distribution languages and time periods.

Endowing Language Models with Multimodal Knowledge Graph Representations

iacercalixto/visualsem 27 Jun 2022

We use the recently released VisualSem KG as our external knowledge repository, which covers a subset of Wikipedia and WordNet entities, and compare a mix of tuple-based and graph-based algorithms to learn entity and relation representations that are grounded on the KG multimodal information.

IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition using Knowledge Bases

ikergarcia1996/context-enriched-ner 20 Apr 2023

Named Entity Recognition (NER) is a core natural language processing task in which pre-trained language models have shown remarkable performance.