DE eng

Search in the Catalogues and Directories

Hits 1 – 10 of 10

1
RUSSE'2018 : a shared task on word sense induction for the Russian language
Panchenko, Alexander [Verfasser]; Lopukhina, Anastasiya [Verfasser]; Ustalov, Dmitry [Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2018
DNB Subject Category Language
Show details
2
RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language ...
BASE
Show details
3
Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ...
BASE
Show details
4
RUSSE: The First Workshop on Russian Semantic Similarity ...
BASE
Show details
5
An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages ...
BASE
Show details
6
RUSSE'2018: Human-Annotated Sense-Disambiguated Word Contexts for Russian ...
Ustalov, Dmitry. - : Zenodo, 2018
BASE
Show details
7
RUSSE'2018: Human-Annotated Sense-Disambiguated Word Contexts for Russian ...
Ustalov, Dmitry. - : Zenodo, 2018
BASE
Show details
8
Unsupervised semantic frame induction using triclustering
Panchenko, Alexander; Kutuzov, Andrei; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2018
BASE
Show details
9
An unsupervised word sense disambiguation system for under-resourced languages
Ustalov, Dmitry; Teslenko, Denis; Panchenko, Alexander. - : European Language Resources Association, ELRA-ELDA, 2018
BASE
Show details
10
RUSSE'2018 : a shared task on word sense induction for the Russian language
Abstract: The paper describes the results of the first shared task on word sense induction (WSI) for the Russian language. While similar shared tasks were conducted in the past for some Romance and Germanic languages, we explore the performance of sense induction and disambiguation methods for a Slavic language that shares many features with other Slavic languages, such as rich morphology and free word order. The participants were asked to group contexts with a given word in accordance with its senses that were not provided beforehand. For instance, given a word “bank” and a set of contexts with this word, e.g. “bank is a financial institution that accepts deposits” and “river bank is a slope beside a body of water”, a participant was asked to cluster such contexts in the unknown in advance number of clusters corresponding to, in this case, the “company” and the “area” senses of the word “bank”. For the purpose of this evaluation campaign, we developed three new evaluation datasets based on sense inventories that have different sense granularity. The contexts in these datasets were sampled from texts of Wikipedia, the academic corpus of Russian, and an explanatory dictionary of Russian. Overall 18 teams participated in the competition submitting 383 models. Multiple teams managed to substantially outperform competitive state-of-the-art baselines from the previous years based on sense embeddings.
Keyword: 004 Informatik; 400 Sprache; Linguistik
URL: https://madoc.bib.uni-mannheim.de/44299/2/RUSSE%2718%20Shared%20Task%20Paper.pdf
https://madoc.bib.uni-mannheim.de/44299/
https://ub-madoc.bib.uni-mannheim.de/44299
BASE
Hide details

Catalogues
0
0
0
0
1
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
9
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern