M. A. Linda Andersson, Project Ass.

 

Ph.D. student, Computational Intelligence


 

Bild på Linda

Institute of Software Technology and Interactive Systems Information and Software Engineering Group, Vienna University of Technology

Contact

Institute of Software Technology and Interactive Systems
Favoritenstrasse 9-11/188,
1040 Vienna


HD 01 11
Email: andersson [at] ifs.tuwien.ac.at








 

Biography

 

In 2001, Linda finished her studies 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). On May 13th, 2009 Linda was awarded the Degree of Master of Arts with Major in General Linguistics with Specialization in Computational Linguistics at Stockholm University. In 2009, Linda was offered and granted a PhD position at the Vienna University of Technology (Austria). Her dissertation The Essence of Patent Text Mining focus on to develop real-world patent text mining applications using Natural Language Processing techniques.


In 2013, Linda worked as a consultant for a Swedish patent text mining company, focusing on developing a new patent information retrieval system. The outcome of her work at the Vienna University of Technology and the collaboration with the Swedish patent text mining company resulted in a granted EuroStars project (Self-Optimizer) in 2015.


On two separate occasions Linda Andersson was awarded prices for her work. In 1999 Linda received a finalist prize at the Venture Cup at Mälardalens University College and in 2017 she was awarded the most promising PhD research results. Together with Kurt Hornburg for his idea DataBot she received yet another award in 2017 for the idea with most market potential. for their DataBot idea.


 

Research interests

 

Linda is interested in several research fields connected to text mining, domain specific Information Retrieval and Information Extraction (law, medicine, patent), Generative lexicon, Distributional Semantic, Corpus profiling to more traditional Information Retrieval.




 

Publication

 


Linda Andersson, Navid Rekabsaz, Allan Hanbury (2017) Automatic query expansion for patent passage retrieval using paradigmatic and syntagmatic information The first WiNLP Workshop co-located with with the Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver

 


Linda Andersson Domain specific text mining almost from scratch with Deep Learning One pager for Open session at Deep Learning Summer Schoolin Bilbao, Spain

 


Navid Rekabsaz, Mihai Lupu, Artem Baklanov, Allan Hanbury, Alexander Duer, Linda Anderson Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models Proceedings of the Annual Meeting of the Association for Computational Linguistics ACL 2017

 


Linda Andersson, Allan Hanbury, Andreas Rauber (2017) The Portability of three type of Text Mining Techniques into the patent text genre. In M. Lupu, K. Mayer, J. Tait, and A. J. Trippe, Second edition, Current Challenges in Patent Information Retrieval

 

Linda Andersson, Mihai Lupu, João R. M. Palotti, Allan Hanbury, Andreas Rauber (2016) When is the time Ripe for Natural Language Processing for Patent Passage Retrieval? In Proceedings of the 25th ACM International Conference on Conference on Information and Knowledge Management (CIKM 2016)

 

Navid Rekabsaz, Serwah Sabetghadam, Mihai Lupu, Linda Andersson, Allan Hanbury (2016) Standard Test Collection for English-Persian Cross-Lingual Word Sense Disambiguation In Proceedings of the Language Resources and Evaluation Conference (LREC 2016)

 

Linda Andersson, Helena Rastas, Andreas Rauber (2014) Post OCR Correction of Swedish Patent Text - The Difference between Reading Tongue 'Lästunga' and Security Tab 'Låstunga' In Proceedings of Multidisciplinary Information Retrieval,Eds. David Lamas, Paul Buitelaar,Lecture Notes in Computer Science, Springer Berlin Heidelberg, (1-9)

 

Aldo Lipani, Florina Piroi, Linda Andersson, Allan Hanbury (2014) Extracting Nanopublications from IR Papers In Proceedings of Multidisciplinary Information Retrieval, Eds. David Lamas, Paul Buitelaar, Lecture Notes in Computer Science, Springer Berlin Heidelberg, (53-62)

 

Linda Andersson, Mihai Lupu, João Palotti, Florina Piroi, Allan Hanbury, Andreas Rauber (2014) Insight to Hyponymy Lexical Relation Extraction in the Patent Genre Versus Other Text Genres 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

 

Aldo Lipani, Florina Piroi, Linda Andersson, Allan Hanbury (2014) An Information Retrieval Ontology for Information Retrieval Nanopublications In Proceeding of the of the Conference and Labs of the Evaluation Forum (CLEF2014)

 

João Palotti, Navid Rekabsaz, Linda Andersson, Allan Hanbury (2014) TUW@TREC clinical decision support track In Proceedings of the Twenty-Third Text REtrieval Conference (TREC 2014)

 

Linda Andersson, Mihai Lupu, Allan Hanbury (2013) Domain Adaptation of General Natural Language Processing Tools for a Patent Claim Visualization System In Proceedings of Multidisciplinary Information Retrieval, Eds. Mihai Lupu, Evangelos Kanoulas, Fernando Loizides, Lecture Notes in Computer Science, Springer Berlin Heidelberg, (70-82)

 

Linda Andersson, Parvaz Mahdabi, Allan Hanbury, Andreas Rauber (2013) Exploring patent passage retrieval using nouns phrases In Proceeding of the 35th European conference on Advances in Information Retrieval (ECIR'13), Eds. Pavel Serdyukov, Pavel Braslavski, Sergei O. Kuznetsov, Jaap Kamps, and Stefan Rüger, Springer-Verlag, Berlin, Heidelberg, (676-679)

 

Parvaz Mahdabi, Linda Andersson, Mostafa Keikha, Fabio Crestani (2012) Automatic refinement of patent queries using concept importance predictors In ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2012),(505-514)

 

Linda Andersson, Parvaz Mahdabi, Allan Hanbury, Andreas Rauber (2012) Report on the CLEF-IP 2012 Experiments: Exploring Passage Retrieval with the PIPExtractor In Proceeding of the of the Conference and Labs of the Evaluation Forum (CLEF2012)

 

Parvaz Mahdabi, Linda Andersson, Allan Hanbury, Fabio Crestani (2011) Report on the CLEF-IP 2011 Experiments: Exploring Patent Summarisation In Proceeding of the of the Conference and Labs of the Evaluation Forum (CLEF2011)

 

Linda Andersson (2010) A Vector Space analysis of Swedish patent claims with different linguistic indices In Proceeding of the 3rd International Workshop on Patent Information Retrieval (PaIR), 2010


 

Thesis

 

Linda Andersson (2009) A Vector Space analysis of Swedish patent claims, does decompounding help?
Master thesis, Department of Linguistic, Stockholm University PDF

 

Linda Andersson (2003) Hantering av sammansatta ord vid indexering med två statistiska indexeringsmetoder.
Bachelors thesis, Department of Linguistic, Stockholm University English summary: Performance of Two Statistical Indexing Methods, with and without Compound-word Analysis


 

Work Experience

 


R&D Project manager, Uppdragshuset Sverige AB, Sweden (2014-2015)

 

Assistance Archivist, University of Växjö (2007-2008)

 

Assistance admission administrator, The teaching Education Office at Stockholm University (2007)

 

E-learning developer, Mälardalens University/College (1999-2000)

 

Student researcher Assistance, Mälardalens University/College and National Semiconductor (1999)