Pierre Lison

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Mobile phone +47 96799812 96799812
Username
Visiting address Norsk Regnesentral Gaustadalleen 23a Kristen Nygaards hus
Postal address Postboks 1080 Blindern 0316 Oslo
Tags: language technology, dialogue systems, privacy, Machine Learning, Artificial intelligence, Natural Language Processing

Publications

  • Walker, Nicholas Thomas; Ultes, Stefan & Lison, Pierre (2023). Retrieval-Augmented Neural Response Generation Using Logical Reasoning and Relevance Scoring. SemDial Proceedings. ISSN 2308-2275.
  • Høst, Anders Mølmen; Lison, Pierre & Moonen, Leon (2023). Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database. In Alumäe, Tanel & Fishel, Mark (Ed.), Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa). University of Tartu. ISSN 978-99-1621-999-7. p. 386–391. Full text in Research Archive
  • Barnes, Jeremy Claude; Touileb, Samia; Mæhlum, Petter & Lison, Pierre (2023). Identifying Token-Level Dialectal Features in Social Media. In Alumäe, Tanel & Fishel, Mark (Ed.), Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa). University of Tartu. ISSN 978-99-1621-999-7. Full text in Research Archive
  • Olstad, Annika Willoch; Papadopoulou, Anthi & Lison, Pierre (2023). Generation of Replacement Options in Text Sanitization. In Alumäe, Tanel & Fishel, Mark (Ed.), Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa). University of Tartu. ISSN 978-99-1621-999-7. p. 292–300.
  • Hassan, Syed Zohaib; Salehi, Pegah; Røed, Ragnhild Klingenberg; Halvorsen, Pål; Baugerud, Gunn Astrid & S. Johnson, Miriam [Show all 11 contributors for this article] (2022). Towards an AI-driven talking avatar in virtual reality for investigative interviews of children . In Claypool, Mark & Eg, Ragnhild (Ed.), GameSys '22: Proceedings of the 2nd Workshop on Games Systems. Association for Computing Machinery (ACM). ISSN 978-1-4503-9381-2. p. 9–15. doi: 10.1145/3534085.3534340.
  • Pilán, Ildikó; Lison, Pierre; Øvrelid, Lilja; Papadopoulou, Anthi; Sánchez, David & Batet, Montserrat (2022). The text anonymization benchmark (TAB): A dedicated corpus and evaluation framework for text anonymization. Computational Linguistics. ISSN 0891-2017. 48(4), p. 1053–1101. doi: 10.1162/coli_a_00458.
  • Papadopoulou, Anthi; Yu, Yunhao; Lison, Pierre & Øvrelid, Lilja (2022). Neural Text Sanitization with Explicit Measures of Privacy Risk, The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing. Association for Computational Linguistics. ISSN 978-1-955917-65-0. p. 217–229.
  • Manzanares-Salor, Benet; Sánchez, David & Lison, Pierre (2022). Automatic Evaluation of Disclosure Risks of Text Anonymization Methods. In Domingo-Ferrer, Josep & Laurent, Maryline (Ed.), Privacy in Statistical Databases. Springer. ISSN 978-3-031-13944-4. p. 157–171. doi: 10.1007/978-3-031-13945-1_12.
  • Walker, Nicholas Thomas; Dahl, Torbjørn & Lison, Pierre (2022). Dialogue Management as Graph Transformations. In Stoyanchev, Svetlana; Ultes, Stephan & Li, Haizhou (Ed.), Conversational AI for Natural Human-Centric Interaction . Springer. ISSN 978-981-19-5537-2. p. 219–227. doi: 10.1007/978-981-19-5538-9_15.
  • Papadopoulou, Anthi; Lison, Pierre; Øvrelid, Lilja & Pilán, Ildikó (2022). Bootstrapping Text Anonymization Models with Distant Supervision. In Calzolari, Nicoletta; Béchet, Frédéric; Blache, Philippe; Choukri, Khalid; Cieri, Christopher; Declerck, Thierry; Goggi, Sara; Isahara, Hitoshi; Maegaard, Bente; Mariani, Joseph; Mazo, Hélène; Odijk, Jan & Piperidis, Stelios (Ed.), Proceedings of the Thirteenth Language Resources and Evaluation Conference. European Language Resources Association. ISSN 979-10-95546-72-6. p. 4477–4487.
  • Weitzenboeck, Emily Mary; Lison, Pierre; Cyndecka, Malgorzata Agnieszka & Langford, Malcolm (2022). The GDPR and Unstructured Data: Is Anonymisation Possible? . International Data Privacy Law (IDPL). ISSN 2044-3994. 12(3), p. 184–206. doi: 10.1093/idpl/ipac008. Full text in Research Archive
  • Olsen, Joakim; Næss, Arild Brandrud & Lison, Pierre (2021). Assessing the Quality of Human-Generated Summaries with Weakly Supervised Learning. In Dobnik, Simon & Øvrelid, Lilja (Ed.), Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa). Linköping University Electronic Press. ISSN 978-91-7929-614-8. p. 112–123.
  • Lison, Pierre; Barnes, Jeremy & Hubin, Aliaksandr (2021). skweak: Weak Supervision Made Easy for NLP. In Ji, Heng & Park, Jong (Ed.), Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations. Association for Computational Linguistics. ISSN 978-1-954085-56-5. p. 337–346. doi: 10.18653/v1/2021.acl-demo.40. Full text in Research Archive
  • Lison, Pierre; Pilán, Ildikó; Sánchez, David; Batet, Montserrat & Øvrelid, Lilja (2021). Anonymisation Models for Text Data: State of the art, Challenges and Future Directions. In Zong, Chengqing; Xia, Fei; Li, Wenjie & Navigli, Roberto (Ed.), Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics. ISSN 978-1-954085-52-7. p. 4188–4203. doi: 10.18653/v1/2021.acl-long.323.
  • Lison, Pierre; Barnes, Jeremy; Hubin, Aliaksandr & Touileb, Samia (2020). Named Entity Recognition without Labelled Data: A Weak Supervision Approach . In Jurafsky, Dan; Chai, Joyce; Schluter, Natalie & Tetreault, Joel (Ed.), Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. ISSN 978-1-952148-25-5. p. 1518–1533. Full text in Research Archive
  • Jang, Youngsoo; Lee, Jongmin; Park, Jaeyoung; Lee, Kyeng-Hun; Lison, Pierre & Kee-Eung, Kim (2019). PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules. In Huang, Ruihong & Padó, Sebastian (Ed.), Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), System Demonstrations . Association for Computational Linguistics. ISSN 9781950737925. p. 187–192. doi: 10.18653/v1/D19-3032.
  • Lison, Pierre & Dogruöz, A. Seza (2018). Detecting Machine-translated Documents in Large Parallel Corpora. In Rapp, Reinhard; Zweigenbaum, Pierre & Sharoff, Serge (Ed.), 11th Workshop on Building and Using Comparable Corpora (BUCC 2018). European Language Resources Association. ISSN 979-10-95546-07-8. p. 25–32.
  • Lison, Pierre; Tiedemann, Jörg & Kouylekov, Milen (2018). OpenSubtitles 2018: Statistical rescoring of sentence alignments in large, noisy parallel corpora. 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. 1742–1748.
  • Lison, Pierre & Mavroeidis, Vasileios (2017). Neural Reputation Models learned from Passive DNS data, IEEE Big Data 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention 2017. IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-5386-2715-0. p. 3662–3671. doi: 10.1109/BigData.2017.8258361.
  • Lison, Pierre & Mavroeidis, Vasileios (2017). Automatic Detection of Malware-Generated Domains with Recurrent Neural Models. Norsk Informasjonssikkerhetskonferanse (NISK). ISSN 1893-6563.
  • Lison, Pierre & Kennington, Casey (2017). Incremental Processing for Neural Conversational Models. SemDial Proceedings. ISSN 2308-2275. p. 162–163.
  • Lison, Pierre & Bibauw, Serge (2017). Not All Dialogues are Created Equal: Instance Weighting for Neural Conversational Models. In DeVault, David & Louis, Annie (Ed.), 18th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL 2017). Association for Computational Linguistics. ISSN 978-1-945626-82-1. p. 384–394. doi: 10.18653/v1/w17-5546.
  • Lison, Pierre & Kutuzov, Andrei (2017). Redefining Context Windows for Word Embedding Models: An Experimental Study. In Tiedemann, Jörg (Eds.), Proceedings of the 21st Nordic Conference on Computational Linguistics (NoDaLiDa). Linköping University Electronic Press. ISSN 978-91-7685-601-7. p. 284–288. Full text in Research Archive
  • Lison, Pierre & Meena, Raveesh (2016). Automatic Turn Segmentation of Movie and TV Subtitles. In Dehak, Najim & Torres-Carrasquillo, Pedro (Ed.), 2016 Spoken Language Technology Workshop. IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-5090-4902-8. p. 245–252. doi: 10.1109/SLT.2016.7846272.
  • Stoyanchev, Svetlana; Lison, Pierre & Bangalore, Srinivas (2016). Rapid Prototyping of Form-driven Dialogue Systems Using an Open-source Framework. In Fernández, Raquel & Minker, Wolfgang (Ed.), Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Association for Computational Linguistics. ISSN 978-1-945626-23-4. p. 216–219. doi: 10.18653/v1/w16-3626.
  • Lison, Pierre & Kennington, Casey (2016). OpenDial: A Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules. In Pradhan, Sameer & Apidianaki, Marianna (Ed.), Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. ISSN 978-1-945626-03-6. p. 67–72. doi: 10.18653/v1/p16-4012.
  • Dragone, Paolo & Lison, Pierre (2016). Classification and Resolution of Non-Sentential Utterances in Dialogue. Italian Journal of Computational Linguistics (IJCoL). ISSN 2499-4553. 2(1), p. 45–62.
  • Lison, Pierre & Tiedemann, Jörg (2016). OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles, Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). European Language Resources Association. ISSN 978-2-9517408-9-1. p. 923–929. Full text in Research Archive
  • Dragone, Paolo & Lison, Pierre (2015). An Active Learning Approach to the Classification of Non-Sentential Utterances. In Bosco, Cristina; Tonelli, Sara & Zanzotto, Fabio Massimo (Ed.), Proceedings of the Second Italian Conference on Computational Linguistics. CLiC-IT 2015. ISSN 978-88-99200-62-6. p. 115–119. doi: 10.4000/books.aaccademia.1464.
  • Dragone, Paolo & Lison, Pierre (2015). Non-sentential utterances in dialogue: experiments in classification and interpretation. SemDial Proceedings. ISSN 2308-2275. p. 170–172.
  • Lison, Pierre & Kennington, Casey (2015). Developing Spoken Dialogue Systems with the OpenDial Toolkit. SemDial Proceedings. ISSN 2308-2275. p. 194–196.

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  • Lison, Pierre (2022). Dis, c'est quoi l'intelligence artificielle? Renaissance Du Livre. ISBN 2507057297. 96 p.

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  • Lison, Pierre (2023). Venn med kunstig intelligens . [TV]. NRK Dagsrevyen.
  • Lison, Pierre (2023). Kunstig Intelligens, en fare for menneskeheten? . [Radio]. NRK P2.
  • Engebretsen, Solveig; Løland, Anders & Lison, Pierre (2023). Alt du kan lære om statistisk modellering og maskinlæring på en dag.
  • Riegler, Michael; Lison, Pierre & Falkum, Ingrid Lossius (2023). Kunstig intelligens-modeller er ikke miniatyr­versjoner av den menneskelige hjernen. Forskersonen.no.
  • Engebretsen, Solveig; Løland, Anders & Lison, Pierre (2023). Alt du kan lære om statistisk modellering og maskinlæring på en dag.
  • Lison, Pierre & Touileb, Samia (2023). Chat GPT egner seg dårlig til eksamenssensuren. Morgenbladet. ISSN 0805-3847.
  • Walker, Nicholas Thomas & Lison, Pierre (2023). GraphWOZ: Dialogue Management with Conversational Knowledge Graphs.
  • Lison, Pierre & Kennington, Casey (2023). Who's in Charge? Roles and Responsibilities of Decision-Making Components in Conversational Robots.
  • Falkum, Ingrid Lossius & Lison, Pierre (2023). Er prateroboten ChatGPT en klok samtale­partner eller papegøye? Forskersonen.no.
  • Korsvoll, Nils Hallvard; Lison, Pierre; Reinertsen, Hilde; Elken, Mari; De Korne, Haley & Hansen, Kai Arne [Show all 7 contributors for this article] (2023). Fire tiltak for en bedre språkpolitikk i akademia. Khrono.no. ISSN 1894-8995.
  • Løland, Anders; Fuglerud, Kristin Skeide & Lison, Pierre (2022). Hva er universell utforming? . [Internet]. Sannsynligvis VIKTIG .
  • Lison, Pierre; Rots, Aike Peter & De Korne, Haley (2022). Hvilket fremmedspråk bør man lære seg i Google-oversettelsenes tidsalder? Morgenbladet. ISSN 0805-3847.
  • Lund, Bjarte Aarmo; Sandsør, Astrid Marie Jorde & Lison, Pierre (2022). Problemer på kontoret: Alltid jeg som må trakte kaffe. Morgenbladet. ISSN 0805-3847.
  • Lison, Pierre (2022). Anonymization of sensitive information.
  • Lison, Pierre; Korsvoll, Nils Hallvard & Lundberg, Aase-Kristine Aasen (2022). Kjernekraft -er det farlig, eller er det fremtiden? Morgenbladet. ISSN 0805-3847.
  • Lison, Pierre (2021). Vi må snakke om Bitcoin. NRK Ytring.
  • Lison, Pierre; Bølstad, Jørgen & Kvellestad, Anders (2021). Forvirrende pandemistatistikk: Hva skal vi med logaritmer i grafer? Morgenbladet. ISSN 0805-3847.
  • Korsvoll, Nils Hallvard; Elken, Mari; Sandtorv, Alexander Harald & Lison, Pierre (2021). Welcome to Norway! Khrono.no. ISSN 1894-8995.
  • Lison, Pierre (2021). Skweak: Weak Supervision Made Easy for NLP.
  • Lison, Pierre (2021). Fremdrift i forskningsprosjekter.
  • Lison, Pierre; Pilán, Ildikó; Sánchez Ruenes, David; Batet, Montserrat & Øvrelid, Lilja (2021). Anonymisation Models for Text Data: State of the art, Challenges and Future Directions.
  • Lison, Pierre; Pilán, Ildikó; Øvrelid, Lilja; Sánchez Ruenes, David & Batet, Montserrat (2021). Anonymisation Models for Text Data: State of the art, Challenges and Future Directions.
  • Lison, Pierre; Barnes, Jeremy Claude & Hubin, Aliaksandr (2021). skweak: weak supervision made easy for NLP.
  • Lison, Pierre (2021). Språkteknologi: siste trender og vanlige fallgruver.
  • Lison, Pierre (2020). Ethical and social impacts of AI.
  • Lison, Pierre & Falkum, Ingrid Lossius (2020). Hva skjedde med «Don’t be evil»? Morgenbladet. ISSN 0805-3847.
  • Riegler, Michael; Lison, Pierre; Strümke, Inga & Løland, Anders (2020). For enkelt om kunstig intelligens: – Diskriminerende og fordomsfull AI er ikke alltid lett å løse. Forskning.no. ISSN 1891-635X.
  • Lison, Pierre & Falkum, Ingrid Lossius (2020). Kan kunstig intelligens "forstå" språk? Aftenposten (morgenutg. : trykt utg.). ISSN 0804-3116.
  • Lison, Pierre (2020). Named Entity Recognition without Labelled Data: A Weak Supervision Approach.
  • Løland, Anders; Lison, Pierre & Falkum, Ingrid Lossius (2020). Episode 6: Kan språkteknologi virkelig forstå språk? Med Ingrid Lossius Falkum og Pierre Lison. [Internet]. Sannsynligvis VIKTIG (podkast).
  • Løland, Anders & Lison, Pierre (2020). Episode 5: Hva er språkteknologi (eller NLP)? Med Pierre Lison. [Internet]. Sannsynligvis VIKTIG (podkast).
  • Lison, Pierre (2020). Developing NLP models without labelled data using weak supervision.
  • Lison, Pierre (2019). Open challenges in anonymisation.
  • Prévot, Laurent; Magistry, Pierre & Lison, Pierre (2019). Should we use movie subtitles to study linguistic patterns of conversational speech? A study based on French, English and Taiwan Mandarin.
  • Lison, Pierre (2019). Dialogue Modelling: Small data, Big data.
  • Lison, Pierre (2019). Modellering av omdømme i cybersikkerhet med nevralske nettverk.
  • Lison, Pierre; Tiedemann, Jörg & Kouylekov, Milen (2018). OpenSubtitles 2018: Statistical Rescoring of Sentence Alignments in Large, Noisy Parallel Corpora.
  • Lison, Pierre (2018). Data-driven models of reputation in cyber-security.
  • Lison, Pierre (2018). Tekstmining: En kort innføring.
  • Lison, Pierre (2018). Detecting Machine-translated Subtitles in Large Parallel Corpora.
  • Lison, Pierre (2018). Neural models for predicting the reputation of end-point hosts.
  • Lison, Pierre (2017). SAFERS - Speech Analytics for Emergency Response Services. Kan taleteknologi og maskinlæring brukes for å effektivisere nødmeldetjenester?
  • Lison, Pierre (2017). Automatic Detection of Malware-Generated Domains with Recurrent Neural Models.
  • Lison, Pierre (2017). Neural Reputation Models learned from Passive DNS Data.
  • Lison, Pierre (2017). Opptreden i God Morgen Norge (TV2) for å vise Lenny roboten som ble brukt ved Forskningstorget. [TV]. God Morgen Norge (TV2).
  • Lison, Pierre & Kennington, Casey (2017). Incremental Processing for Neural Conversational Models.
  • Lison, Pierre (2016). Automatic Turn Segmentation for Movie and TV Subtitles.
  • Lison, Pierre (2016). OpenDial: A Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules.
  • Lison, Pierre (2016). A short introduction to statistical machine translation.
  • Lison, Pierre (2016). OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles.
  • Lison, Pierre & Kennington, Casey (2015). Developing Spoken Dialogue Systems with the OpenDial toolkit.
  • Lison, Pierre (2014). Structured Probabilistic Modelling for Dialogue Management.
  • Lison, Pierre & Meena, Raveesh (2014). Spoken Dialogue Systems: A New Frontier in Human-Computer Interaction. ACM Crossroads. ISSN 1528-4972. 21(1).
  • Kosek, Michal Kajetan & Lison, Pierre (2014). An Intelligent Tutoring System for Learning Chinese with a Cognitive Model of the Learner.
  • Jokinen, Kristiina; Heckmann, Martin; Lala, Dinesh & Lison, Pierre (2021). Proceedings of the 1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction. RobotDial workshop.
  • Redelmeier, Annabelle Alice; Lison, Pierre; Løland, Anders & Pilán, Ildikó (2021). Predicting insurance fraud with the help of a sentiment analysis model. Norsk Regnesentral.
  • Lison, Pierre (2018). Anonymisering av rettsavgjørelser. Norsk Regnesentral.

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Published Nov. 27, 2019 5:06 PM - Last modified Dec. 3, 2021 6:53 PM