Named Entity Linking in English-Czech Parallel Corpus

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F24%3A00137343" target="_blank" >RIV/00216224:14330/24:00137343 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/book/10.1007/978-3-031-70563-2" target="_blank" >https://link.springer.com/book/10.1007/978-3-031-70563-2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-70563-2_12" target="_blank" >10.1007/978-3-031-70563-2_12</a>

Result language

angličtina

Original language name

Named Entity Linking in English-Czech Parallel Corpus

Original language description

We present a procedure to build relatively quickly new resources with annotated named entities and their linking to Wikidata. First, we applied state-of-the-art models for named entity recognition on a sentence-aligned parallel English-Czech corpus. We selected the most common entity classes: person, location, organization, and miscellaneous. Second, we manually checked the corpus in a suitably set annotation application. Third, we used a state-of-the-art tool for named entity linking and enhanced the ranking using sentence embeddings obtained by sentence transformers. We then checked manually whether the linking to knowledge bases was correct. As a result, we added two annotation layers to an existing parallel corpus: one with the named entities and one with links to Wikidata. The corpus contains 14,881 parallel Czech-English sentences and 3,769 links to Wikidata. The corpus can be used for training more robust named entity recognition and named entity linking models and for linguistic research of parallel news texts.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Text, Speech, and Dialogue : 27th International Conference, TSD 2024, Brno, Czech Republic, September 9–13, 2024, Proceedings, Part I

ISBN

9783031705625

ISSN

0302-9743

e-ISSN

—

Number of pages

12

Pages from-to

147-158

Publisher name

Springer International Publishing

Place of publication

Cham

Event location

Brno

Event date

Sep 9, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001307840300012