# AlbNER: A Corpus for Named Entity Recognition in Albanian

arXiv: https://arxiv.org/abs/2309.08741 · HTML: https://mlsanity.com/paper/2309.08741/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 13 of its 26 references that are in the map.
- First posted on arXiv 15 Sep 2023.

## Builds on (most cited first, 13 of 13)

- [Attention Is All You Need](https://mlsanity.com/paper/1706.03762/) (2017)
- [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://mlsanity.com/paper/1810.04805/) (2018)
- [RoBERTa: A Robustly Optimized BERT Pretraining Approach](https://mlsanity.com/paper/1907.11692/) (2019)
- [One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia](https://mlsanity.com/paper/2203.13357/) (2022)
- [T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition](https://mlsanity.com/paper/2209.12616/) (2022)
- [RobeCzech: Czech RoBERTa, a monolingual contextualized language representation model](https://mlsanity.com/paper/2105.11314/) (2021)
- [Exploring Cross-sentence Contexts for Named Entity Recognition with BERT](https://mlsanity.com/paper/2006.01563/) (2020)
- [Biomedical named entity recognition using BERT in the machine reading comprehension framework](https://mlsanity.com/paper/2009.01560/) (2020)
- [Lexicon Infused Phrase Embeddings for Named Entity Resolution](https://mlsanity.com/paper/1404.5367/) (2014)
- [MemeGraphs: Linking Memes to Knowledge Graphs](https://mlsanity.com/paper/2305.18391/) (2023)
- [A hybrid deep-learning approach for complex biochemical named entity recognition](https://mlsanity.com/paper/2012.10824/) (2020)
- [AlbMoRe: A Corpus of Movie Reviews for Sentiment Analysis in Albanian](https://mlsanity.com/paper/2306.08526/) (2023)
- [Sentiment Analysis of Czech Texts: An Algorithmic Survey](https://mlsanity.com/paper/1901.02780/) (2019)

## Built on by (most cited first, 1 of 1)

- [AlbNews: A Corpus of Headlines for Topic Modeling in Albanian](https://mlsanity.com/paper/2402.04028/) (2024)

## Abstract (arXiv)

Scarcity of resources such as annotated text corpora for under-resourced languages like Albanian is a serious impediment in computational linguistics and natural language processing research. This paper presents AlbNER, a corpus of 900 sentences with labeled named entities, collected from Albanian Wikipedia articles. Preliminary results with BERT and RoBERTa variants fine-tuned and tested with AlbNER data indicate that model size has slight impact on NER performance, whereas language transfer has a significant one. AlbNER corpus and these obtained results should serve as baselines for future experiments.