Lebenslauf und Publikationen Dr. Rima Dessi

Education:

• 2016 - 2020: Ph.D. student / Junior Researcher, FIZ Karlsruhe – Leibniz Institute for Information Infrastructure and Karlsruhe Institute of Technology (KIT), Institute of Applied Informatics and Formal Description Methods (AIFB), Germany.
• 2014 - 2016: M.Sc. Computer Engineering, Hacettepe University, Ankara, Turkey.
• 2007 - 2012: B.Sc. of Computer Engineering, Cankaya University, Ankara, Turkey.
   

Experience

• Academic
  • April 2017 - August 2017: Teaching Assistant, Information Service Engineering, KIT, Karlsruhe, Germany.
  • October 2017 - March 2018: Teaching Assistant, Information Service Engineering, KIT, Karlsruhe, Germany.
  • April 2018 - August 2018: Teaching Assistant, Information Service Engineering, KIT, Karlsruhe, Germany.
  • October 2018 - March 2019: Teaching Assistant, Project Seminar course Information Service Engineering, KIT, Karlsruhe, Germany.
  • April 2019 - August 2019: Teaching Assistant, Information Service Engineering, KIT, Karlsruhe, Germany.
  • October 2019 - March 2020: Teaching Assistant, Project Seminar course Information Service Engineering, KIT, Karlsruhe, Germany
• Industrial Work Experience
  • 2012 - 2016 Software Engineer, ETA, Electronic Design Industry Inc, Ankara, Turkey.
• Professional Scientific Activities
  • Organization of Workshops
    • The First International Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical, and Legal Data, May 28th, 2023 / Hersonissos, Greece
    • The Second International Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical, and Legal Data, May 2024 / Hersonissos, Greece
• Supervision Experience – Master Theses
  • Qingyuan Bie: Master thesis: “Words are not enough! Short text classification using words as well as entities”, 2019.
  • Schiran Nosrati: Master thesis: “Semantic Aggregation and Labeling of the Patent Information Space”, 2021.

• Linked Open Data
• Semantic Web
• Information Retrieval
• Neural Networks
• Machine Learning
• Deep Learning

Zitate

Rima Dessi @ Google Scholar

Rima Dessi @ DBLP

Rima Dessi @ Scopus

2023

• Dessi, Rima; Aras, Hidir; Zhang, Lei
  DeepKEA: Employing Deep Learning Models for Keyword Extraction from Patent Documents
  In: Proceedings of the 1st Legal Information Retrieval meets Artificial Intelligence Workshop LIRAI 2023
  co-located with the 34th ACM Hypertext Conference HT 2023, Rome, Italy, 2023 / Wehnert, Sabine et al. (eds.)
  CEUR workshop proceedings, 2023; Vol. 3594, p. 41-46
  https://ceur-ws.org/Vol-3594/paper3.pdf
• Dessi, Danilo; Dessi, Rima
  Diving into Knowledge Graphs for Patents: Open Challenges and Benefits
  In: Joint Proceedings of the ESWC 2023 Workshops and Tutorials co-located with 20th European Semantic Web Conference (ESWC 2023): Semantic Technologies for Scientific, Technical, and Legal Data, Hersonissos, Greece, May 28-29, 2023 / Mehwish, Alam et al. (eds.)
  CEUR workshop proceedings, 2023; Vol. 3443, 8 p.
  https://ceur-ws.org/Vol-3443/
• Dessi, Rima; Aras, Hidir; Alam, Mehwish
  Exploring the Impact of Negative Sampling on Patent Citation and Recommendation
  4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2023), co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan, July 23-27, 2023 / Aras, Hidir et al. (eds.)
  CEUR workshop proceedings, 2023; Vol. 3604, p. 39-43
  https://ceur-ws.org/Vol-3604/paper3.pdf
  https://telecom-paris.hal.science/hal-04197089

2020

• R. Türker, L. Zhang, M. Alam, H. Sack:
  Weakly Supervised Short Text Categorization Using World Knowledge. In Proceedings of the 19th International Semantic Web Conference (ISWC 2020), Research Track, pp. 584-600. DOI: https://doi.org/10.1007/978-3-030-62419-4_339 [local copy (PDF)]
• M. Alam, Q. Bie, R. Türker, H. Sack:
  Entity-based Short Text Classification using Convolutional Neural Networks, In: Proceedings of the 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020), (To be published) [local copy (PDF)].

2019

• R. Türker:
  Knowledge-Based Dataless Text Categorization, in: Proc. of the 16th Extended Semantic Web Conference, PhD Symposium (ESWC 2019) (to be published) [local copy (PDF)].
• R. Türker, L. Zhang, M. Koutraki, H. Sack:
  Knowledge–Based Short Text Categorization Using Entity and Category Embeddings, in Proc. of the 16th Extended Semantic Web Conference (ESWC 2019). Springer, Cham, pp. 346-362. DOI: https://doi.org/10.1007/978-3-030-21348-0. [local copy (PDF)]

2018

• R. Türker, L. Zhang, M. Koutraki, H. Sack:
  TECNE: Knowledge Based Text Classification Using Network Embeddings, in Proc. 21st International Conference on Knowledge Engineering and Knowledge Management 2018 (EKAW 2018), Poster & Demo Track, p. 53-56, http://ceur-ws.org/Vol-2262/ekaw-demo-18.pdf [local copy (PDF)]
• H. Aras, R. Türker, D. Geiss, M. Milbradt, H. Sack:
  Get Your Hands Dirty: Evaluating Word2Vec Models for Patent Data, In Proc. of the 14th Int. Conf. on Semantic Systems (SEMANTiCS 2018), P&D Track, CEUR workshop proceedings vol. 2198, http://ceur-ws.org/Vol-2198/paper_123.pdf [local copy (PDF)]
• R. Türker, L. Zhang, M. Koutraki, H. Sack:
  “The Less Is More” for Text Classification, In Proc. of the 14th Int. Conf. on Semantic Systems
  (SEMANTiCS 2018), P&D Track, CEUR workshop proceedings vol. 2198, http://ceur-ws.org/Vol-2198/paper_122.pdf [local copy (PDF)]
• R. Biswas, R. Türker, F. Bakhshandegan-Moghaddam, M. Koutraki, H. Sack:
  Wikipedia Infobox Type Prediction Using Embeddings, in Proceedings of the 1st Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies DL4KGS 2018, co-located with ESWC 2018, CEUR workshop proceedings, vol. 2106, http://ceur-ws.org/Vol-2106/paper6.pdf  [local copy (PDF)]

2017

• R. Türker, M. Koutraki, J. Waitelonis, H. Sack:
  Entity Suggestion Ranking via Context Hashing,
  in: Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks, co-located with 16th International Semantic Web Conference (ISWC2017), CEUR Workshop Proceedings, vol. 1963, http://ceur-ws.org/Vol-1963/paper632.pdf

2016

• R. Türker, G. Ercan:
  Topic Model Based Recommendation System for Retailers,
  In: UBMK. Çorlu,Turkey.

• Dessi, Rima; Aras, Hidir; Alam, Mehwish
  Exploring the Impact of Negative Sampling on Patent Citation and Recommendation. [Dataset]
  4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2023), co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan, July 23-27, 2023
  Available on Zenodo, 2023
  DOI: 10.5281/zenodo.7870196