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Studies in Analytical Reproducibility: the Conquaire Project ...
Cimiano, Philipp; Pietsch, Christian; Wiljes, Cord. - : Universität Bielefeld, 2021
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Bridging the Gap Between Ontology and Lexicon via Class-Specific Association Rules Mined from a Loosely-Parallel Text-Data Corpus ...
Ell, Basil; Elahi, Mohammad Fazleh; Cimiano, Philipp. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
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Linguistic linked data: representation, generation and applications
Cimiano, Philipp; Chiarcos, Christian; McCrae, John P. - : Springer International Publishing AG, 2020
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4
Recent Developments for the Linguistic Linked Open Data Infrastructure ...
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Recent Developments for the Linguistic Linked Open Data Infrastructure ...
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Recent Developments for the Linguistic Linked Open Data Infrastructure ...
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Recent Developments for the Linguistic Linked Open Data Infrastructure ...
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8
Recent Developments for the Linguistic Linked Open Data Infrastructure ...
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9
D3.2 Research Challenge Report v2 ...
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10
D5.1 Report on Vocabularies for Interoperable Language Resources and Services ...
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11
D5.1 Report on Vocabularies for Interoperable Language Resources and Services ...
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12
D3.2 Research Challenge Report v2 ...
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13
Recent Developments for the Linguistic Linked Open Data Infrastructure ...
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14
Terme-à-LLOD: Simplifying the Conversion and Hosting of Terminological Resources as Linked Data ...
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Terme-à-LLOD: Simplifying the Conversion and Hosting of Terminological Resources as Linked Data ...
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16
How to make a wheelchair understand spoken commands
Couto-Vale, Daniel [Verfasser]; Bateman, John [Akademischer Betreuer]; Bateman, John [Gutachter]. - Bremen : Staats- und Universitätsbibliothek Bremen, 2019
DNB Subject Category Language
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17
Zero-Shot Cross-Lingual Opinion Target Extraction ...
Abstract: Aspect-based sentiment analysis involves the recognition of so called opinion target expressions (OTEs). To automatically extract OTEs, supervised learning algorithms are usually employed which are trained on manually annotated corpora. The creation of these corpora is labor-intensive and sufficiently large datasets are therefore usually only available for a very narrow selection of languages and domains. In this work, we address the lack of available annotated data for specific languages by proposing a zero-shot cross-lingual approach for the extraction of opinion target expressions. We leverage multilingual word embeddings that share a common vector space across various languages and incorporate these into a convolutional neural network architecture for OTE extraction. Our experiments with 5 languages give promising results: We can successfully train a model on annotated data of a source language and perform accurate prediction on a target language without ever using any annotated samples in that target ... : Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://dx.doi.org/10.48550/arxiv.1904.09122
https://arxiv.org/abs/1904.09122
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18
Extending Neural Question Answering with Linguistic Input Features ...
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Extending Neural Question Answering with Linguistic Input Features ...
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20
AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data ...
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