Terminology identification dataset KAS-term 1.0

Name: Terminology identification dataset KAS-term 1.0
License: https://creativecommons.org/licenses/by-sa/4.0/

Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola; Arhar Holdt, Špela; Bren, Urban; Robnik-Šikonja, Marko; Udovič, Boštjan

Terminology identification dataset KAS-term 1.0

CLARIN.SI data & tools

Avtorji: Erjavec, Tomaž ; et al.prikaži vse
Erjavec, Tomaž ; Fišer, Darja ; Ljubešić, Nikola ; Arhar Holdt, Špela ; Bren, Urban ; Robnik-Šikonja, Marko ; Udovič, Boštjan

Identifikator vnosa: http://hdl.handle.net/11356/1198

URL projekta: http://nl.ijs.si/kas/

Demo URL: https://github.com/clarinsi/kas-term

Datum objave: 2018-08-18

Vrsta: lexicalConceptualResource, text

Velikost: 22950 entries

Jezik(i): Slovenian

Opis: The dataset contains 22,950 term candidates extracted from 15 Slovenian PhD theses. The term candidates are of length 1 to 4, extracted via morphosyntactic patterns and the frequency threshold of 3. The PhD theses are from the areas of chemistry, computer science and political science. Each of the term candidates is annotated by four annotators as being (1) in-domain term, (2) out-of-domain term, (3) general academic term or (4) not a term. Each term candidate is also annotated with its frequency in the PhD thesis and 7 statistical measures. The resource can serve as a training set for supervised learning of term extraction and for terminology extraction tool benchmarking.

Izdajatelj: Jožef Stefan Institute

Ključne besede: terminology manual annotation

Zbirke: CLARIN.SI data & tools

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Datoteke v tem vnosu

Prenesi vse datoteke v vnosu (17.26 MB)

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Publicly Available

z licenco:
Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)

Ime: kas.term.json
Velikost: 13.47 MB
Format: Neznano
Opis: Lexicon in JSON format
MD5: d162802ca09cd12d3b624d353ec22ed9

Prenesi datoteko

Ime: kas.term.csv
Velikost: 3.47 MB
Format: Datoteka CSV
Opis: Lexicon in CSV format
MD5: 434795ea3191e24c1627f7a28726cd20

Prenesi datoteko

Ime: kas.term.txt
Velikost: 1.42 KB
Format: Besedilna datoteka
Opis: Attribute descriptions
MD5: 3b4ea1dfab0b7bd725f254b3c02cd9de

Prenesi datoteko Predogled

Predogled datoteke

Attribute descriptions

document_id - ID of the document (PhD thesis) the term candidate is extracted from
area - One of the three scientific areas the PhD thesis covers (Kemija: Chemistry, Politologija: Political Science, Računalništvo: Computer Science)
annotation_round - The annotation round the term candidate was annotated
lemma_sequence - Sequence of lemmas of the term candidate
most_frequent_sequence - Sequence of most frequent tokens of the term candidate (does not have to be the canonical form)
pattern - Morphosyntactic pattern the term candidate satisfies
length - Length of the term candidate
annotator_1 - Response of annotator 1 (annotator number is a pseudoidentifier of a human annotator throughout one area, different annotators were used for each area)
annotator_2 - Response of annotator 2 (t_termin: term, x_izvenpodročni: out-of-domain term, z_znanstveno: scientific term, n_nerelevantno: no term)
annotator_3 - Response of annotator 3
annotator_4 - Response of annotator 4
f . . .

Ime: Navodila_za_ocenjevanje_terminoloskih_kandidatov_KAS.pdf
Velikost: 331.51 KB
Format: PDF
Opis: Guidelines for annotation of term candidates (in Slovenian)
MD5: a3ee1395fc0557872d5e33bd94af25d9

Prenesi datoteko

Terminology identification dataset KAS-term 1.0

Datoteke v tem vnosu

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