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12 Publikationen

2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2916985
S. Jebbara, et al., “Extracting common sense knowledge via triple ranking using supervised and unsupervised distributional models”, Semantic Web, vol. 10, 2019, pp. 139-158.
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2019 | Konferenzbeitrag | E-Veröff. vor dem Druck | PUB-ID: 2934325
S. Jebbara and P. Cimiano, “Zero-Shot Cross-Lingual Opinion Target Extraction”, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019.
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933089
S. Hakimov, S. Jebbara, and P. Cimiano, “Evaluating Architectural Choices for Deep Learning Approaches for Question Answering over Knowledge Bases”, Presented at the The 13th IEEE International Conference on ​Semantic Computing, Newport Beach, California, 2019.
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913141
S. Hakimov, S. Jebbara, and P. Cimiano, “AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data”, The Semantic Web - ISWC 2017. 16th International Semantic Web Conference. Proceedings, C. d'Amato, M. Fernandez, and V. Tamma, eds., Lecture Notes in Computer Science, vol. 10587, Cham: Springer, 2017, pp.329-346.
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2017 | Konferenzbeitrag | PUB-ID: 2913711
S. Jebbara and P. Cimiano, “Improving Opinion-Target Extraction with Character-Level Word Embeddings”, Proceedings of the First Workshop on Subword and Character Level Models in NLP, Association for Computational Linguistics, 2017.
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2907859
M. Hartung, et al., “Learning Compositionality Functions on Word Embeddings for Modelling Attribute Meaning in Adjective-Noun Phrases”, Proceedings of the 15th Meeting of the European Chapter of the Association for Computational Linguistics (EACL), vol. Vol. 1 (Long Papers), 2017, pp.54-64.
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2016 | Datenpublikation | PUB-ID: 2902978
S. Hakimov, et al., Research Data - Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models, Bielefeld University, 2016.
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2016 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2906020
S. Jebbara and P. Cimiano, “Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture”, Presented at the European Semantic Web Conference (ESWC), 2016.
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904445
S. Jebbara and P. Cimiano, “Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture”, Semantic Web Challenges. Third SemWebEval Challenge at ESWC 2016. Revised Selected Papers, H. Sack, et al., eds., Communications in Computer and Information Science, vol. 641, Cham: Springer, 2016, pp.153-170.
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905552
S. Hakimov, et al., “Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models”, Knowledge Engineering and Knowledge Management, Lecture Notes in Computer Science, vol. 10024, Springer, 2016, pp.288-302.
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2016 | Konferenzbeitrag | PUB-ID: 2905625
S. Jebbara and P. Cimiano, “Aspect-Based Relational Sentiment Analysis Using a Stacked Neural Network Architecture”, ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence (PAIS 2016), 2016, pp.1123--1131.
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2016 | Konferenzbeitrag | PUB-ID: 2905857
V. Basile, et al., “Populating a Knowledge Base with Object-Location Relations using Distributional Semantics”, Proceedings of 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW), 2016.
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