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

03/19/2020
by   Nasrin Taghizadeh, et al.
0

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 phrase-level evaluation on seven classes of NEs including person, organization, location, date, time, money and percent.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

03/19/2020

Beheshti-NER: Persian Named Entity Recognition Using BERT

Named entity recognition is a natural language processing task to recogn...
10/22/2020

Method of noun phrase detection in Ukrainian texts

Introduction. The area of natural language processing considers AI-compl...
10/26/2018

Named Person Coreference in English News

People are often entities of interest in tasks such as search and inform...
04/24/2015

Learning Dictionaries for Named Entity Recognition using Minimal Supervision

This paper describes an approach for automatic construction of dictionar...
11/11/2020

Overview of CAPITEL Shared Tasks at IberLEF 2020: Named Entity Recognition and Universal Dependencies Parsing

We present the results of the CAPITEL-EVAL shared task, held in the cont...
04/29/2022

What do we Really Know about State of the Art NER?

Named Entity Recognition (NER) is a well researched NLP task and is wide...
07/29/2021

Addressing Barriers to Reproducible Named Entity Recognition Evaluation

To address what we believe is a looming crisis of unreproducible evaluat...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.