13 Publikationen

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  • [13]
    2020 | Bielefelder E-Dissertation | PUB-ID: 2944431 OA
    Jebbara, S., 2020. Neural Approaches to Relational Aspect-Based Sentiment Analysis. Exploring generalizations across words and languages, Bielefeld: Universität Bielefeld.
    PUB | PDF
     
  • [12]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2916985 OA
    Jebbara, S., et al., 2019. Extracting common sense knowledge via triple ranking using supervised and unsupervised distributional models. Semantic Web, 10(1), p 139-158.
    PUB | PDF | DOI | WoS
     
  • [11]
    2019 | Konferenzbeitrag | E-Veröff. vor dem Druck | PUB-ID: 2934325 OA
    Jebbara, S., & Cimiano, P., 2019. Zero-Shot Cross-Lingual Opinion Target Extraction. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
    PUB | PDF
     
  • [10]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933089 OA
    Hakimov, S., Jebbara, S., & Cimiano, P., 2019. 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.
    PUB | PDF
     
  • [9]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913141 OA
    Hakimov, S., Jebbara, S., & Cimiano, P., 2017. AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data. In C. d'Amato, M. Fernandez, & V. Tamma, eds. The Semantic Web - ISWC 2017. 16th International Semantic Web Conference. Proceedings. Lecture Notes in Computer Science. no.10587 Cham: Springer, pp. 329-346.
    PUB | PDF | DOI
     
  • [8]
    2017 | Konferenzbeitrag | PUB-ID: 2913711 OA
    Jebbara, S., & Cimiano, P., 2017. Improving Opinion-Target Extraction with Character-Level Word Embeddings. In Proceedings of the First Workshop on Subword and Character Level Models in NLP. Association for Computational Linguistics.
    PUB | PDF
     
  • [7]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2907859 OA
    Hartung, M., et al., 2017. Learning Compositionality Functions on Word Embeddings for Modelling Attribute Meaning in Adjective-Noun Phrases. In Proceedings of the 15th Meeting of the European Chapter of the Association for Computational Linguistics (EACL). no.Vol. 1 (Long Papers) pp. 54-64.
    PUB | PDF | Download (ext.)
     
  • [6]
    2016 | Datenpublikation | PUB-ID: 2902978 OA
    Hakimov, S., et al., 2016. Research Data - Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models, Bielefeld University.
    PUB | Dateien verfügbar | DOI
     
  • [5]
    2016 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2906020 OA
    Jebbara, S., & Cimiano, P., 2016. Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture. In Presented at the European Semantic Web Conference (ESWC).
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  • [4]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904445 OA
    Jebbara, S., & Cimiano, P., 2016. Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture. In H. Sack, et al., eds. Semantic Web Challenges. Third SemWebEval Challenge at ESWC 2016. Revised Selected Papers. Communications in Computer and Information Science. no.641 Cham: Springer, pp. 153-170.
    PUB | PDF | DOI
     
  • [3]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905552 OA
    Hakimov, S., et al., 2016. Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. In Knowledge Engineering and Knowledge Management. Lecture Notes in Computer Science. no.10024 Springer, pp. 288-302.
    PUB | PDF | DOI
     
  • [2]
    2016 | Konferenzbeitrag | PUB-ID: 2905625 OA
    Jebbara, S., & Cimiano, P., 2016. Aspect-Based Relational Sentiment Analysis Using a Stacked Neural Network Architecture. In 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). pp. 1123--1131.
    PUB | PDF | DOI
     
  • [1]
    2016 | Konferenzbeitrag | PUB-ID: 2905857
    Basile, V., et al., 2016. Populating a Knowledge Base with Object-Location Relations using Distributional Semantics. In Proceedings of 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW). Cham: Springer International Publishing.
    PUB | DOI
     

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