Jan Tore Lønning

• Nooralahzadeh, Farhad; Lønning, Jan Tore & Øvrelid, Lilja (2019). Reinforcement-based denoising of distantly supervised NER with partial annotation, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019). Association for Computational Linguistics. ISSN 978-1-950737-789. p. 225–234. doi: DOI:%2010.18653/v1/D19-6125. Full text in Research Archive
• Nooralahzadeh, Farhad; Øvrelid, Lilja & Lønning, Jan Tore (2018). SIRIUS-LTG-UiO at SemEval-2018 Task 7: Convolutional Neural Networks with Shortest Dependency Paths for Semantic Relation Extraction and Classification in Scientific Papers, Proceedings of the 12th International Workshop on Semantic Evaluation. Association for Computational Linguistics. ISSN 978-1-948087-20-9. p. 805–811. doi: 10.18653/v1/S18-1128.
• Nooralahzadeh, Farhad; Øvrelid, Lilja & Lønning, Jan Tore (2018). Evaluation of Domain-specific Word Embeddings using Knowledge Resources. In Calzolari, Nicoletta; Choukri, Khalid; Cieri, Christopher; Declerck, Thierry; Goggi, Sara; Hasida, Koiti; Isahara, Hitoshi; Maegaard, Bente; Mariani, Joseph; Mazo, Hélène; Moreno, Asuncion; Odijk, Jan; Piperidis, Stelios & Tokunaga, Takenobu (Ed.), Proceedings of the Eleventh International Conference on Language Resources and Evaluation. European Language Resources Association. ISSN 979-10-95546-00-9. p. 1438–1445. Show summary

  In this work we evaluate domain-specific embedding models induced from textual resources in the Oil and Gas domain. We conduct intrinsic and extrinsic evaluations of both general and domain-specific embeddings and we observe that constructing domain-specific word embeddings is worthwhile even with a considerably smaller corpus size. Although the intrinsic evaluation shows low performance in synonymy detection, an in-depth error analysis reveals the ability of these models to discover additional semantic relations such as hyponymy, co-hyponymy and relatedness in the target domain. Extrinsic evaluation of the embedding models is provided by a domain-specific sentence classification task, which we solve using a convolutional neural network. We further adapt embedding enhancement methods to provide vector representations for infrequent and unseen terms. Experiments show that the adapted technique can provide improvements both in intrinsic and extrinsic evaluation.

• Jørgensen, Fredrik & Lønning, Jan Tore (2009). A Minimal Recursion Semantic Analysis of Locatives. Computational Linguistics. ISSN 0891-2017. 35(2), p. 229–270.
• Oepen, Stephan; Velldal, Erik; Lønning, Jan Tore; Meurer, Paul; Rosén, Victoria & Flickinger, Dan (2007). Towards Hybrid Quality-Oriented Machine Translation. On Linguistics and Probabilities in MT. In Way, Andy & Gawronska, Barbara (Ed.), Proceedings of the 11th International Conference on Theoretical Issues in Machine Translation. Skövde University Studies in Informatics. ISSN 978-91-977095-0-7. p. 144–153.
• Lønning, Jan Tore (2006). Language technology and the science of linguistics. In Solstad, Torgrim; Grønn, Atle & Haug, Dag Trygve Truslew (Ed.), A Festschrift for Kjell Johan Sæbø: In Partial Fulfilment of the Requirements for the Celebration of his 50th Birthday. Forfatterne. ISSN 978-82-997289-0-4. p. 107–119.
• Oepen, Stephan & Lønning, Jan Tore (2006). Discriminant-Based MRS Banking. In Calzolari, Nicoletta (Eds.), Proceedings of the 5th international conference on language resources and evaluation. European Language Resources Association. ISSN 2-9517408-2-4. p. 1250–1255.
• Nygaard, Lars; Lønning, Jan Tore; Nordgård, Torbjørn & Oepen, Stephan (2006). Using a bi-lingual dictionary in lexical transfer. In Lønning, Jan Tore & Oepen, Stephan (Ed.), Proceedings of the 11th Conference of the European Association for Machine Translation. European Association for Machine Translation (EAMT). ISSN 82-7368-294-3. p. 233–238.
• Lønning, Jan Tore (2002). Kan vi regne med språket? In Braarvig, Jens Erland & Natvig, Bent (Ed.), To kulturer?. Pax Forlag. ISSN 82-530-2265-4. p. 71–85.
• Lønning, Jan Tore (1997). Plurals and Collectivity. In Benthem, Johan van & Meulen, Alice G. B. ter (Ed.), Handbook of Logic and Language. Elsevier Science B.V., Amsterdam. ISSN 0-444-81714-X. p. 1009–1053.

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• Lønning, Jan Tore & Oepen, Stephan (2006). Proceedings of the 11th Conference of the European Association for Machine Translation. European Association for Machine Translation (EAMT). ISBN 82-7368-294-3. 252 p.

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• Jørgensen, Fredrik & Lønning, Jan Tore (2005). A Minimal Recursion Semantics Analysis of Locatives.
• Oepen, Stephan; Dyvik, Helge; Flickinger, Daniel Paul; Lønning, Jan Tore; Meurer, Paul & Rosén, Victoria (2005). Holistic regression testing for high-quality MT. Some methodological and technological reflections.
• Lønning, Jan Tore; Oepen, Stephan; Beermann, Dorothee; Hellan, Lars; Carroll, John & Dyvik, Helge [Show all 12 contributors for this article] (2004). LOGON - A Norwegian MT Effort.
• Oepen, Stephan; Dyvik, Helge; Lønning, Jan Tore; Velldal, Erik; Beermann, Dorothee & Carroll, John [Show all 12 contributors for this article] (2004). Som å kappete med trollet? Towards MRS-Based Norwegian-English Machine Translation.
• Lønning, Jan Tore (2003). LOGON � A Norwegian machine translation project.
• Lønning, Jan Tore (2002). Om maskinoversettelse.
• Lønning, Jan Tore (2002). Hva er maskinoversettelse?
• Lønning, Jan Tore (1998). Are formal semantic theories of (in) definites relevant to Scandinavian nuances?
• Lønning, Jan Tore (1998). Forelesninger i formell semantikk for Semesteremnet i lingvistikk og SLI 2. 7Letras.

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