2020

NSURL-2019 Task 7: Named Entity Recognition (NER) in Farsi

Taghizadeh, Nasrin, Borhanifard, Zeinab, GolestaniPour, Melika et al.

Understand

NSURL-2019 Task 7 focuses on Named Entity Recognition (NER) in Farsi.

This task was chosen to compare different approaches to find phrases that specify Named Entities in Farsi texts, and to establish a standard testbed for future researches on this task in Farsi.
This paper describes the process of making training and test data, a list of participating teams (6 teams), and evaluation results of their systems.
The best system obtained 85.4% of F1 score based on phrase-level evaluation on seven classes of NEs including person, organization, location, date, time, money and percent.

Rule-based named entity recognition in Urdu
Kashif Riaz. 2010 · 2010
Earlier work this paper cites.
A survey of Arabic Named Entity Recognition and classification
Khaled Shaalan. 2014 · 2014
Earlier work this paper cites.
A hybrid method for Persian Named Entity Recognition
Farid Ahmadi and Hamed Moradi. 2015 · 2015
Earlier work this paper cites.
Semi-supervised learning for named entity recognition using weakly labeled training data
Atefeh Zafarian, Ali Rokni, Shahram Khadivi, and Sonia Ghiasifard. 2015 · 2015
Earlier work this paper cites.
Persianp: a Persian text processing toolbox
Mahdi Mohseni, Javad Ghofrani, and Heshaam Faili. 2016 · 2016
Earlier work this paper cites.
PersoNER: Persian Named Entity Recognition
Hanieh Poostchi, Ehsan Zare Borzeshi, Mohammad Abdous, and Massimo Piccardi. 2016 · 2016
Earlier work this paper cites.
Automatic Wordnet Development for Low-Resource Languages using Cross-lingual WSD
Nasrin Taghizadeh and Hesham Faili. 2016 · 2016
Earlier work this paper cites.

SNPPhenA: a corpus for extracting ranked associations of single-nucleotide polymorphisms and phenotypes from literature
Behrouz Bokharaeian, Alberto Diaz, Nasrin Taghizadeh, Hamidreza Chitsaz, and Ramyar Chavoshinejad. 2017 · 2017
Cited alongside, same era.
A’laam Corpus: A Standard Corpus of Named Entity for Persian Language
Shadi Hosseinnejad, Yasser Shekofteh, and Tahereh and Emami Azadi. 2017 · 2017
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Original
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
BiLSTM-CRF for Persian Named-Entity Recognition armanpersonercorpus: the first entity-annotated persian dataset
Hanieh Poostchi, Ehsan Zare Borzeshi, and Massimo Piccardi. 2018 · 2018
Cited alongside, same era.
A Named Entity Recognition shootout for German
Martin Riedl and Sebastian Padó. 2018 · 2018
Cited alongside, same era.
Farsbase: A cross-domain farsi knowledge graph
Mohamad Bagher Sajadi, Behrouz Minaei, and Ali Hadian. 2018 · 2018
Cited alongside, same era.
PEYMA: A Tagged Corpus for Persian Named Entities
Original
Mahsa Sadat Shahshahani, Mahdi Mohseni, Azadeh Shakery, and Heshaam Faili. 2018 · 2018
Cited alongside, same era.

Cross-Language Learning for Arabic Relation Extraction
Nasrin Taghizadeh, Heshaam Faili, and Jalal Maleki. 2018 · 2018
Later among the works it cites.
A survey on recent advances in named entity recognition from deep learning models
Vikas Yadav and Steven Bethard. 2018 · 2018
Later among the works it cites.
Using syntax for improving phrase-based SMT in low-resource languages
Hakimeh Fadaei and Heshaam Faili. 2019 · 2019
Later among the works it cites.
Arabic Named Entity Recognition via deep co-learning
Chadi Helwe and Shady Elbassuoni. 2019 · 2019
Later among the works it cites.
MorphoBERT: a Persian NER system with BERT and morphological analysis
Mahdi Mohseni and Amirhossein Tebbifakhr. 2019 · 2019
Later among the works it cites.
Beheshti-NER: Persian named entity recognition using BERT
Ehsan Taher, Seyed Abbas Hoseini, and Mehrnoush Shamsfard. 2019 · 2019
Later among the works it cites.

alphaXiv searches the wider corpus for related work and actual follow-ups.

alphaXiv is searching for related work…

Reading the bibliography…