CV
In 2009, Linda was awarded the Degree of Master of Arts with Major in General Linguistics with Specialization in Computational Linguistics at Stockholm University (Sweden). Her journey to explore information literacy started already in 2001 when Linda became a graduate in Information Research and Business Intelligence at Mälardalens University College (Sweden).
In the following years, Linda specialised in General Linguistics and Computational Linguistics at Stockholm University (Sweden), Language Engineering and Computer Science at the Royal Institute of Technology (Sweden), as well as attending courses in Library Science and Information Science at Uppsala University (Sweden). In 2009, Linda applied and was granted a PhD position at the Vienna University of Technology (TU Wien, Austria). Her dissertation The Essence of Patent text mining focus is to develop real-world patent text mining tools using Natural Language Processing techniques – defending later this year.
In 2013, Linda started working as a patent text mining consultant for Uppdragshuset Sverige AB (Sweden) developing new patent information retrieval solutions. In September 2014 Linda was employed by Uppdragshuset Sverige AB for a year to project manage and develop the R&D group. The outcome of her work at the TU Wien and the collaboration with Uppdragshuset Sverige AB was granted a EuroStars project in 2015, a project with the title Self-Optimizer. The project Self-Optimizer aims to support the innovation process for industries active in different technical domains e.g. telecommunication and pharmaceutical.
On three separate occasions Linda was awarded prices for her research work. In 1999 Linda received a finalist prize at the Venture Cup at Mälardalens University College, in 2017 she was awarded the most promising PhD research results and in 2018 she and her team received the Commercial Viability Award by the Austrian Angel Investors Association for Linda’s’ product idea Artificial Researcher in Science.
With Linda's product idea Artificial Researcher in Science, Linda and Dr Florina Piroi and two other co-founders with industry background in software engineering and marketing are participating in the TUW i²ncubator Incubation Program for TU Wien spin-offs/spin-outs. For the next two years, together with TU Library and TU Information & Software Engineering Group, they will develop a novel and innovative platform, which automatically handles scientific information needs and presents the information to the users according to their requests.
Education
- 2018 (date pending) Doctoral program in Computer Sciences - Computational Intelligence, Vienna University of Technology (TUW), Austria, PhD.
- 2009 Computational Linguistics, Stockholm University, Sweden, Master of Arts with Major in General Linguistics with Specialization in Computational Linguistics. Thesis title: A Vector Space analysis of Swedish patent claims, does decompounding help?
- 2004-2006 Library and Information Science & Information Technology, Uppsala University, Sweden.
- 2004 Computer Science, The Royal Institute of Technology, Stockholm, Sweden.
- 2001-2003 Linguistics, Stockholm University, Sweden.
- 1998-2001 Information design with Specialization in Information Research and Business Intelligence, Mälardalens University College, Sweden.
Professional Career
- 2018 Jan-Aug, SBA Research (Secure Business Austria), Research Assistant
- 2009-2017 Information and Software Engineering Group (IFS), Vienna University of Technology (TUW), Research Assistant
- 2014-2015 Uppdragshuset AB, Sweden, Project manager of the R&D group
- 2009-2011 Information Retrieval Facility (IRF), PhD student
- 2007-2008 University of Växjö, Assistant Archivist
- 2007 Stockholm University, Teaching Education Office, Assistant Admission Administrator
- 1999 Mälardalens University College, E-learning Software Developer
- 1999 National Semi Conductor and Mälardalens University, Research Assistant
Scientific Project
- 2019-* AR-Science - Artificial Researcher in Science *Up-coming project with TU Wien, funded within the framework of FemPower by Vienna Business Agency
- 2016-(Jul.2017) KConnect - Search technologies for medical information, Vienna University of Technology, http://www.kconnect.eu, EU Innovation Action.
- 2016-(Sep.2017) Self-Optimizer -support tool for companies’ Innovation process, Vienna University of Technology, EuroStars.
- 2013-(Sep.2016) ADmIRE - Abstracting Domain-Specific Information Retrieval and Evaluation, http://ifs.tuwien.ac.at/~admire/, Austrian Science Fund (FWF).
- 2011-2014 Khresmoi - Medical Information Analysis and Retrieval, http://www.khresmoi.eu/, EU Integrated Project Science Fund.
- 2012 Q&A system for Quantities in patent, Innovation Check for a text mining company MaxRecall, Forschungsförderungsgesellschaft Errichtungsgesetz (FFG).
Presentations and talks
- 2017 The Essence of Patent Text Mining, Seminar in Computational Linguistics, Uppsala University, Sweden. (Talk)
- 2017 Domain-specific text mining almost from scratch with Deep Learning, Open session at Deep Learning Summer School, Bilbao, Spain . (Talk)
- 2011 Advanced search for Information specialists, Training, Patent experts at GE India. (Teaching)
- 2010 Building a Patent Retrieval system for Swedish Patent, Presentation, Swedish Patent and Registration Office. (Talk)
- 2001 Insufficient Full-text Search Technology, lectures, Mälardalens University College, Sweden. (Teaching)
Five key Publications relevant to the talk
- 2017 The Portability of Text Mining Techniques into the patent text genre, Linda Andersson, Allan Hanbury, Andreas Rauber, The 2nd edition of Current Challenges in Patent Information Retrieval, Eds. Lupu., M, Mayer, K., Tait, J., Trippe, A. J.. (Book chapter)
- 2017 Automatic query expansion for patent passage retrieval using paradigmaticand syntagmatic information, Linda Andersson, Navid Rekabsaz, Allan Hanbury, The first WiNLP Workshop co-located with with the Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver, Canada. (Paper, Peer-reviewed)
- 2016 When is the time ripe for natural language processing for patent passage retrieval?, Linda Andersson, Mihai Lupu, João R. M. Palotti, Allan Hanbury, Andreas Rauber, Proceedings of the 25th ACM International Conference on Conference on Information and Knowledge Management (CIKM 2016). (Paper, Peer-reviewed)
- 2014 Insight to Hyponymy Lexical Relation Extraction in the Patent Genre Versus Other Text Genres , Linda Andersson, Mihai Lupu, Joao Palotti, Florina Piroi,Allan Hanbury, Andreas Rauber, In Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located with Konvens, Hildesheim, Germany, October 6-7, 2014. (Paper, Peer-reviewed)
- 2013 Domain Adaptation of General Natural Language Processing Tools for a Patent Claim Visualization System, Linda Andersson, Mihai Lupu, Allan Hanbury, In Proceedings of Multidisciplinary Information Retrieval Eds. Mihai Lupu, Evangelos Kanoulas, Fernando Loizides Lecture Notes in Computer Science, Springer Berlin Heidelberg, (70-82). (Paper, Peer-reviewed)
Talks