Trond Linjordet

Postdoktor - Hylleraas-senteret
Bilde av Trond Linjordet
English version of this page
E-post trond.linjordet@kjemi.uio.no
Rom V212
Brukernavn
Besøksadresse Sem Sælands vei 26 0371 Oslo
Postadresse Postboks 1033 0315 Oslo

Faglige interesser

Maskinlæring anvendt i forskjellige domener. Maskinlæringsteori. Postdoktor i maskinlæring anvendt i kjemi for oppdagelse av potensielle katalysatorer i form av kompleksioner.

Bakgrunn

Bachelor i nanoteknologi. Master i kvanteinformasjon og -optikk. Kommersiell erfaring som data scientist og vitenskapelig rådgiver. Forsker i prosjekt om smarte byer. PhD angikk maskinlæring anvendt i språklige domener, spesielt ved bruk av kunnskapsgrafer.

 

Emneord: Hylleraas-senteret, Hylleraas Centre for Quantum Molecular Sciences, Machine Learning & Deep learning

Publikasjoner

  • Skjæveland, Martin G; Balog, Krisztian; Bernard, Nolwenn; Lajewska, Weronika & Linjordet, Trond (2024). An ecosystem for personal knowledge graphs: A survey and research roadmap. AI Open. 5, s. 55–69. doi: 10.1016/j.aiopen.2024.01.003.
  • Linjordet, Trond; Balog, Krisztian & Setty, Vinay (2022). Towards Formally Grounded Evaluation Measures for Semantic Parsing-based Knowledge Graph Question Answering. I Crestani, Fabio; Pasi, Gabriella & Gaussier, Eric (Red.), Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR '22). Association for Computing Machinery (ACM). ISSN 978-1-4503-9412-3. s. 3–12. doi: 10.1145/3539813.3545146.
  • Linjordet, Trond & Balog, Krisztian (2022). Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answering. I Amigó, Enrique; Castells, Pablo; Gonzalo, Julio; Carterette, Ben; Culpepper, J. Shane & Kazai, Gabriella (Red.), SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022. Association for Computing Machinery (ACM). ISSN 978-1-4503-8732-3. s. 3090–3098. doi: 10.1145/3477495.3531739.
  • Linjordet, Trond (2020). Neural (Knowledge Graph) Question Answering Using Synthetic Training Data. I d'Aquin, Mathieu & Dietze, Stefan (Red.), CIKM 20 : The 29th ACM international conference on information and knowledge management : Virtual Event Ireland, October 19-23, 2020.. ACM Publications. ISSN 9781450368599. s. 3245–3248. doi: 10.1145/3340531.3418505.
  • Linjordet, Trond & Balog, Krisztian (2020). Sanitizing Synthetic Training Data Generation for Question Answering over Knowledge Graphs. I Balog, Krisztian; Setty, Vinay; Lioma, Christina; Liu, Yiqun; Zhang, Min & Berberich, Klaus (Red.), ICTIR '20: Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval. Association for Computing Machinery (ACM). ISSN 9781450380676. s. 121–128. doi: 10.1145/3409256.3409836.
  • Linjordet, Trond & Balog, Krisztian (2019). Impact of training dataset size on neural answer selection models. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 11437 LNCS, s. 828–835. doi: 10.1007/978-3-030-15712-8_59.
  • Martin, Christopher; Evans, James; Karvonen, Andrew; Paskaleva, Krassimira; Yang, Dujuan & Linjordet, Trond (2019). Smart-sustainability: A new urban fix? Sustainable Cities and Society (SCS). ISSN 2210-6707. 45, s. 640–648. doi: 10.1016/j.scs.2018.11.028.
  • Paskaleva, Krassimira; Evans, James; Martin, Christopher; Linjordet, Trond; Yang, Dujuan & Karvonen, Andrew (2017). Data governance in the sustainable smart city. Informatics. ISSN 2227-9709. 4(4), s. 1–19. doi: 10.3390/informatics4040041.

Se alle arbeider i Cristin

  • Linjordet, Trond (2015). Sannsynligvis eksamensklar : krasjkurs i grunnleggende statistikk for universitet og høyskole. Ideklekkeriet forlag. ISBN 978-82-93460-00-8. 177 s.

Se alle arbeider i Cristin

Publisert 19. okt. 2023 12:04 - Sist endret 16. jan. 2024 14:04