Analysis of Transfer Learning for Named Entity Recognition in South ...

This paper analyzes a Named Entity Recognition task for South-Slavic languages using the pre-trained multilingual neural network models. We investigate whether ...

Analysis of Transfer Learning for Named Entity Recognition in. South-Slavic Languages. Nikola Ivacic 1. Hanh Thi Hong Tran1,2,3. Boshko Koloski1,2. Senja ...

(PDF) Analysis of Transfer Learning for Named Entity Recognition in ...

PDF | On May 6, 2023, Nikola Ivačič and others published Analysis of Transfer Learning for Named Entity Recognition in South-Slavic ...

Analysis of Transfer Learning for Named Entity Recognition in South ...

It is shown that the model performance is not influenced substantially when trained with other than a target language, and fine-tuning with other closely ...

Analysis of Transfer Learning for Named Entity Recognition in South ...

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Evolution and emerging trends of named entity recognition

Machine learning-based methods transform the NER task into a sequence labeling task, which uses a large-scale annotated corpus to train the annotation model to ...

Named Entity Recognition and Knowledge Extraction from ...

This paper presents a text analysis platform focused on the pharmaceutical domain. We perform text classification using state-of-the-art transfer learning ...

A survey on recent advances in Named Entity Recognition - arXiv

An early study on neural network-based NER is available in (Sharnagat, 2014) . Deep learning methods are studied in-depth in (Li et al., 2020a) ...

MasakhaNER: Named Entity Recognition for African Languages

We analyze our datasets and conduct an extensive empirical evaluation of state- of-the-art methods across both supervised and transfer learning ...

Analyzing transfer learning impact in biomedical cross-lingual ...

Named Entity Recognition (NER) is the first step for information and knowledge acquisition when we deal with unstructured texts. Recent NER ...

Analyzing transfer learning impact in biomedical cross-lingual ...

Named Entity Recognition (NER) is the first step for information and knowledge acquisition when we deal with unstructured texts. Recent NER approaches use ...

Analysing the effects of transfer learning on low-resourced named...

TL;DR: We analyse the effect of using different language-adaptively fine-tuned models on NER transfer performance and model embeddings.

Research on Chinese medical named entity recognition based on ...

Based on comprehensive study of the three types of entity and the entity interdependencies, we propose a collaborative cooperation of multiple neural network ...

Construction of Machine-Labeled Data for Improving Named Entity ...

in this study. However, our transfer learning approach differs slightly, in that we conduct pre-training just for NER, while. BERT and XLNet ...

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity ...

PDF | On Jan 1, 2022, David Adelani and others published MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition ...

Few-shot Named Entity Recognition: Definition, Taxonomy and ...

We divide transfer learning approaches for FS-NER in three categories: cross-domain, cross-lingual, fine-tuning. In the following, we describe them in detail.

Label-Aware Double Transfer Learning for Cross-Specialty Medical ...

We study the problem of named entity recognition (NER) from electronic medical records, which is one of the most fundamental and critical problems for ...

Cross Lingual Named Entity Recognition using Deep Learning

implementation of cross-lingual transfer learning in named entity recognition (NER) ... The study Transfer Learning for Multilingual Tasks: A ...

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity ...

We create the largest human-annotated NER dataset for 20 African languages, and we study the behavior of state-of-the-art cross-lingual transfer ...

Recent Advances in Named Entity Recognition - arXiv

In addition, we discuss reinforcement learning and graph-based approaches, highlighting their role in enhancing NER performance. Second, we ...