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Named Entity Recognition Task

In named entity recognition, one tries to find the strings within a text that correspond to proper names (excluding TIME and MONEY) and classify the type of entity denoted by these strings. The problem is difficult partly due to the ambiguity in sentence segmentation; one needs to extract which words belong to a named entity, and which not. Another difficulty occurs when some word may be used as a name of either a person, an organization or a location. For example, Deniz may be used as the name of a person, or - within a compound - it can refer to a location Marmara Denizi 'Marmara Sea', or an organization Deniz Taşımacılık 'Deniz Transportation'.

The standard approach for NER is a word-by-word classification, where the classifier is trained to label the words in the text with tags that indicate the presence of particular kinds of named entities. After giving the class labels (named entity tags) to our training data, the next step is to select a group of features to discriminate different named entities for each input word.

[ORG Türk Hava Yolları] bu [TIME Pazartesi'den] itibaren [LOC İstanbul] [LOC Ankara] hattı için indirimli satışlarını [MONEY 90 TL'den] başlatacağını açıkladı.

[ORG Turkish Airlines] announced that from this [TIME Monday] on it will start its discounted fares of [MONEY 90TL] for [LOC İstanbul] [LOC Ankara] route.

See the Table below for typical generic named entity types.

Tag Sample Categories
PERSON people, characters
ORGANIZATION companies, teams
LOCATION regions, mountains, seas
TIME time expressions
MONEY monetarial expressions

Video Lectures

For Developers

You can also see Java, Python, Cython, Swift, Js, C, or C++ repository.

Requirements

  • C# Editor
  • Git

Git

Install the latest version of Git.

Download Code

In order to work on code, create a fork from GitHub page. Use Git for cloning the code to your local or below line for Ubuntu:

git clone <your-fork-git-link>

A directory called TurkishNamedEntityRecognition-CS will be created. Or you can use below link for exploring the code:

git clone https://github.com/starlangsoftware/TurkishNamedEntityRecognition-CS.git

Open project with Rider IDE

To import projects from Git with version control:

  • Open Rider IDE, select Get From Version Control.

  • In the Import window, click URL tab and paste github URL.

  • Click open as Project.

Result: The imported project is listed in the Project Explorer view and files are loaded.

Compile

From IDE

After being done with the downloading and opening project, select Build Solution option from Build menu. After compilation process, user can run TurkishNamedEntityRecognition-CS.

Detailed Description

Gazetteer

Bir Gazetter yüklemek için

Gazetteer(string name, string fileName)

Hazır Gazetteerleri kullanmak için

AutoNER()

Bir Gazetteer'de bir kelime var mı diye kontrol etmek için

boolean Contains(string word)

Cite

@INPROCEEDINGS{8093439,
author={B. {Ertopçu} and A. B. {Kanburoğlu} and O. {Topsakal} and O. {Açıkgöz} and A. T. {Gürkan} and B. {Özenç} and İ. {Çam} and B. {Avar} and G. {Ercan} 	and O. T. {Yıldız}},
booktitle={2017 International Conference on Computer Science and Engineering (UBMK)}, 
title={A new approach for named entity recognition}, 
year={2017},
volume={},
number={},
pages={474-479},
doi={10.1109/UBMK.2017.8093439}}