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On the Evolution of Syntactic Information Encoded by BERT's Contextualized Representations ...
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How much pretraining data do language models need to learn syntax? ...
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Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models ...
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Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models ...
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Semantically-oriented text planning for automatic summarization
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In: TDX (Tesis Doctorals en Xarxa) (2021)
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The Third Multilingual Surface Realisation Shared Task (SR'20): Overview and Evaluation Results ...
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The Third Multilingual Surface Realisation Shared Task (SR'20): Overview and Evaluation Results ...
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CollFrEn: Rich Bilingual English--French Collocation Resource ...
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The second multilingual surface realisation shared task (SR'19): Overview and evaluation results
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In: Mille, Simon orcid:0000-0002-8852-2764 , Anja, Belz, Bohnet, Bernd, Graham, Yvette and Wanner, Leo orcid:0000-0002-9446-3748 (2019) The second multilingual surface realisation shared task (SR'19): Overview and evaluation results. In: 2nd Workshop on Multilingual Surface Realisation (MSR 2019), 3 Nov 2019, Hong Kong, China. (2019)
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Collocation classification with unsupervised relation vectors
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A Multimodal Analytics Platform for Journalists Analyzing Large-Scale, Heterogeneous Multilingual, and Multimedia Content
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Vrochidis, Stefanos; Moumtzidou, Anastasia; Gialampoukidis, Ilias; Liparas, Dimitris; Casamayor, Gerard; Wanner, Leo; Heise, Nicolaus; Wagner, Tilman; Bilous, Andriy; Jamin, Emmanuel; Simeonov, Boyan; Alexiev, Vladimir; Busch, Reinhard; Arapakis, Ioannis; Kompatsiaris, Ioannis
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In: Front Robot AI (2018)
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Abstract:
Analysts and journalists face the problem of having to deal with very large, heterogeneous, and multilingual data volumes that need to be analyzed, understood, and aggregated. Automated and simplified editorial and authoring process could significantly reduce time, labor, and costs. Therefore, there is a need for unified access to multilingual and multicultural news story material, beyond the level of a nation, ensuring context-aware, spatiotemporal, and semantic interpretation, correlating also and summarizing the interpreted material into a coherent gist. In this paper, we present a platform integrating multimodal analytics techniques, which are able to support journalists in handling large streams of real-time and diverse information. Specifically, the platform automatically crawls and indexes multilingual and multimedia information from heterogeneous resources. Textual information is automatically summarized and can be translated (on demand) into the language of the journalist. High-level information is extracted from both textual and multimedia content for fast inspection using concept clouds. The textual and multimedia content is semantically integrated and indexed using a common representation, to be accessible through a web-based search engine. The evaluation of the proposed platform was performed by several groups of journalists revealing satisfaction from the user side.
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Keyword:
Robotics and AI
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805659/ https://doi.org/10.3389/frobt.2018.00123 http://www.ncbi.nlm.nih.gov/pubmed/33501002
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Towards Distributional Semantics-Based Classification of Collocations for Collocation Dictionaries
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In: International Journal of Lexicography 30 (2017) 2, 167-186
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IDS OBELEX meta
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Multilingual Surface Realization Using Universal Dependency Trees
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Feature engineering for author profiling and identification: on the relevance of syntax and discourse
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In: TDX (Tesis Doctorals en Xarxa) (2017)
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Processament automàtic de patents: un exercici de terminologia computacional
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In: Terminàlia; Núm. 16 : desembre 2017; p. 54-56 ; 2013-6692 (2017)
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Combining Acoustic and Linguistic Features in Phrase-Oriented Prosody Prediction ...
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Classification of Grammatical Collocation Errors in the Writings of Learners of Spanish ; Clasificación de errores gramaticales colocacionales en textos de estudiantes de español
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