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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

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For Developers

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

Requirements

  • Xcode 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-Swift will be created. Or you can use below link for exploring the code:

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

Open project with XCode

To import projects from Git with version control:

  • XCode IDE, select Clone an Existing Project.

  • In the Import window, paste github URL.

  • Click Clone.

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 option from Product menu. After compilation process, user can run TurkishNamedEntityRecognition-Swift.

Detailed Description

Gazetteer

Bir Gazetter yüklemek için

init(name: String, fileName: String)

Hazır Gazetteerleri kullanmak için

AutoNER()

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

func contains(word: String) -> Bool

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}}

For Contibutors

Package.swift file

  1. Dependencies should be given w.r.t github.
    dependencies: [
        .package(name: "MorphologicalAnalysis", url: "https://github.com/StarlangSoftware/TurkishMorphologicalAnalysis-Swift.git", .exact("1.0.6"))],
  1. Targets should include direct dependencies, files to be excluded, and all resources.
    targets: [
        .target(
	dependencies: ["MorphologicalAnalysis"],
	exclude: ["turkish1944_dictionary.txt", "turkish1944_wordnet.xml",
	"turkish1955_dictionary.txt", "turkish1955_wordnet.xml",
	"turkish1959_dictionary.txt", "turkish1959_wordnet.xml",
	"turkish1966_dictionary.txt", "turkish1966_wordnet.xml",
	"turkish1969_dictionary.txt", "turkish1969_wordnet.xml",
	"turkish1974_dictionary.txt", "turkish1974_wordnet.xml",
	"turkish1983_dictionary.txt", "turkish1983_wordnet.xml",
	"turkish1988_dictionary.txt", "turkish1988_wordnet.xml",
	"turkish1998_dictionary.txt", "turkish1998_wordnet.xml"],
	resources:
[.process("turkish_wordnet.xml"),.process("english_wordnet_version_31.xml"),.process("english_exception.xml")]),
  1. Test targets should include test directory.
	.testTarget(
		name: "WordNetTests",
		dependencies: ["WordNet"]),

Data files

  1. Add data files to the project folder.

Swift files

  1. Do not forget to comment each function.
   /**
     * Returns the value to which the specified key is mapped.
     - Parameters:
        - id: String id of a key
     - Returns: value of the specified key
     */
    public func singleMap(id: String) -> String{
        return map[id]!
    }
  1. Do not forget to define classes as open in order to be able to extend them in other packages.
	open class Word : Comparable, Equatable, Hashable
  1. Function names should follow caml case.
	public func map(id: String)->String?
  1. Write getter and setter methods.
	public func getSynSetId() -> String{
	public func setOrigin(origin: String){
  1. Use separate test class extending XCTestCase for testing purposes.
final class WordNetTest: XCTestCase {
    var turkish : WordNet = WordNet()
    
    func testSize() {
        XCTAssertEqual(78326, turkish.size())
    }
  1. Enumerated types should be declared as enum.
public enum CategoryType : String{
    case MATHEMATICS
    case SPORT
    case MUSIC
  1. Implement == operator and hasher method for hashing purposes.
    public func hash(into hasher: inout Hasher) {
        hasher.combine(name)
    }
    public static func == (lhs: Relation, rhs: Relation) -> Bool {
        return lhs.name == rhs.name
    }
  1. Make classes Comparable for comparison, Equatable for equality, and Hashable for hashing check.
	open class Word : Comparable, Equatable, Hashable
  1. Implement < operator for comparison purposes.
    public static func < (lhs: Word, rhs: Word) -> Bool {
        return lhs.name < rhs.name
    }
  1. Implement description for toString method.
	open func description() -> String{
  1. Use Bundle and XMLParserDelegate for parsing Xml files.
	let url = Bundle.module.url(forResource: fileName, withExtension: "xml")
	var parser : XMLParser = XMLParser(contentsOf: url!)!
	parser.delegate = self
	parser.parse()

also use parser method.

public func parser(_ parser: XMLParser, didStartElement elementName: String, namespaceURI: String?, qualifiedName qName: String?, attributes attributeDict: [String : String])

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