TY - GEN
T1 - Learning Inter-Lingual Document Representations via Concept Compression
AU - Lenz, Marc
AU - Tashu, Tsegaye Misikir
AU - Horváth, Tomáš
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021/11/23
Y1 - 2021/11/23
N2 - In this work, we proposed a novel approach to derive inter-lingual document representations. The introduced methods aim to enhance the quality of content-based Multilingual Document Recommendation and information retrieval Systems. The main idea centers around creating inter-lingual representations by using mappings to align monolingual representation spaces. According to the experimental results carried out on JRC-Acquis and EU bookshop multilingual corpora, the proposed concept compression approach has outperformed the traditional cross-lingual retrieval and recommendations methods.
AB - In this work, we proposed a novel approach to derive inter-lingual document representations. The introduced methods aim to enhance the quality of content-based Multilingual Document Recommendation and information retrieval Systems. The main idea centers around creating inter-lingual representations by using mappings to align monolingual representation spaces. According to the experimental results carried out on JRC-Acquis and EU bookshop multilingual corpora, the proposed concept compression approach has outperformed the traditional cross-lingual retrieval and recommendations methods.
KW - Cross-lingual document representation
KW - Cross-lingual information retrieval
KW - Multilingual NLP
UR - http://www.scopus.com/inward/record.url?scp=85126487276&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-91608-4_27
DO - 10.1007/978-3-030-91608-4_27
M3 - Conference contribution
AN - SCOPUS:85126487276
SN - 9783030916077
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 268
EP - 276
BT - Intelligent Data Engineering and Automated Learning - 22nd International Conference, IDEAL 2021, Proceedings
A2 - Camacho, David
A2 - Tino, Peter
A2 - Allmendinger, Richard
A2 - Yin, Hujun
A2 - Tallón-Ballesteros, Antonio J.
A2 - Tang, Ke
A2 - Cho, Sung-Bae
A2 - Novais, Paulo
A2 - Nascimento, Susana
PB - Springer Science and Business Media Deutschland GmbH
CY - Cham
T2 - 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021
Y2 - 25 November 2021 through 27 November 2021
ER -