ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering System

Autor: Chia-Chien Hung, Tommaso Green, Robert Litschko, Tornike Tsereteli, Sotaro Takeshita, Marco Bombieri, Goran Glavaš, Simone Paolo Ponzetto

This paper introduces our proposed system for the MIA Shared Task on Cross-lingual Open-retrieval Question Answering (COQA). In this challenging scenario, given an input question the system has to gather evidence documents from a multilingual pool an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e1755f054b0aa46dde5687eed861f6f
http://arxiv.org/abs/2205.14981

Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval

Autor: Robert Litschko, Simone Paolo Ponzetto, Goran Glavaš, Ivan Vulić

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030721121
ECIR (1)
Advances in Information Retrieval-43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 – April 1, 2021, Proceedings, Part I
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Advances in Information Retrieval

Pretrained multilingual text encoders based on neural Transformer architectures, such as multilingual BERT (mBERT) and XLM, have achieved strong performance on a myriad of language understanding tasks. Consequently, they have been adopted as a go-to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26f14a53d410decf676695eaee754e15
https://doi.org/10.1007/978-3-030-72113-8_23

Evaluating resource-lean cross-lingual embedding models in unsupervised retrieval

Autor: Robert Litschko, Goran Glavaš, Laura Dietz, Ivan Vulić

Publikováno v: SIGIR
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
Laura Dietz
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval-SIGIR19
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval -SIGIR'19

Cross-lingual embeddings (CLE) facilitate cross-lingual natural language processing and information retrieval. Recently, a wide variety of resource-lean projection-based models for inducing CLEs has been introduced, requiring limited or no bilingual

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26182754fc5100b48b16de8c22909453

Formal [3+3] cyclocondensations of 1,3-bis(silyloxy)-1,3-butadienes with 1-chloro-1,1-difluoro-4,4-dimethoxybut-3-en-2-one and 1,1-difluoro-4,4-dimethoxybut-3-en-2-one. Regioselective synthesis of fluorinated salicylates and pyran-4-ones

Autor: Franziska Bendrath, Alina Bunescu, Lutz Domke, Silke Erfle, Robert Litschko, Peter Langer, Anke Spannenberg, Zharylkasyn A. Abilov, Sebastian Reimann, Alexander Villinger

Publikováno v: Journal of Fluorine Chemistry. 139:28-45

The TiCl4-mediated [3+3] cyclocondensation of 1,3-bis(silyloxy)-1,3-butadienes with 1-chloro-1,1-difluoro-4,4-dimethoxybut-3-en-2-one or 1,1-difluoro-4,4-dimethoxybut-3-en-2-one afforded CF2Cl- and CF2H-substituted salicylates, respectively. The Me3S

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d7cf6d8356d94657d7739e8637e65c2e
https://doi.org/10.1016/j.jfluchem.2012.03.019

Unsupervised Cross-Lingual Information Retrieval Using Monolingual Data Only

Autor: Ivan Vulić, Robert Litschko, Simone Paolo Ponzetto, Goran Glavaš

Publikováno v: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval
SIGIR
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval-SIGIR 18
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval -SIGIR '18

We propose a fully unsupervised framework for ad-hoc cross-lingual information retrieval (CLIR) which requires no bilingual data at all. The framework leverages shared cross-lingual word embedding spaces in which terms, queries, and documents can be

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25bf68b54605074f231444830bea06c0