32.171, Calls: Slavic Subgroup; Comp Ling/Online

[The LINGUIST List]

LINGUIST List: Vol-32-171. Mon Jan 11 2021. ISSN: 1069 - 4875.

Subject: 32.171, Calls: Slavic Subgroup; Comp Ling/Online

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Date: Mon, 11 Jan 2021 23:01:18
From: Roman Yangarber [roman.yangarber at helsinki.fi]
Subject: Shared Task on Slav-NER: Recognition, Normalization, Classification and Cross-lingual linking of Named Entities in Slavic languages

 
Full Title: Shared Task on Slav-NER: Recognition, Normalization, Classification and Cross-lingual linking of Named Entities in Slavic languages 
Short Title: Slav-NER-3 

Date: 19-Apr-2021 - 19-Apr-2021
Location: Kyiv (Online), Ukraine 
Contact Person: Roman Yangarber
Meeting Email: bsnlp at cs.helsinki.fi
Web Site: http://bsnlp.cs.helsinki.fi/shared-task.html 

Linguistic Field(s): Computational Linguistics 

Language Family(ies): Slavic Subgroup 

Call Deadline: 01-Mar-2021 

Meeting Description:

The 3rd edition of the SlavNER Shared Task focuses on the analysis of Named
Entities in multilingual Web documents in Slavic languages.

Due to rich inflection, free word order, derivation, and other phenomena
present in the the Slavic languages, work on Named Entities poses a
challenging task. Fostering research & development on the problems of Named
Entities — detecting mentions of names, lemmatization (normalization),
classification, and cross-lingual matching — is crucial for cross-lingual
information access and wider use of NLP in Slavic languages.


Second Call for Participation: 

The 3rd edition of the shared task covers six languages:
 - Bulgarian,
 - Czech,
 - Polish,
 - Russian,
 - Slovene,
 - Ukrainian

and five types of named entities:
 - persons,
 - locations,
 - organizations,
 - events,
 - products.

The Shared Task focuses on cross-lingual, document-level extraction of named
entities — the systems should recognize, classify, and extract all named
entity mentions in a document; detecting the position of each named entity
mention is not required. Named-entity mentions should be lemmatized, and
mentions referring to the same real-world object should be linked across
documents and languages. The input text collection consists of sets of
documents retrieved from the Web, each set being about a certain entity or
event. The corpus was obtained by crawling the Web and parsing the HTML of
documents.

IMPORTANT: it is NOT mandatory to participate in the full task, e.g.,
monolingual responses, without lemmatization of the extracted named entities,
can be evaluated also.

See the details about the 1st edition (2017) and the 2nd edition (2019) of
this shared task.

Participation: 
Teams that intend to participate should register by sending an email to:
bsnlp at cs.helsinki.fi, which includes the following information:
 - name of team,
 - names of team members,
 - contact person,
 - contact email




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LINGUIST List: Vol-32-171	
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