Marie-Francine Moens

Professor
Department of Computer Science
Katholieke Universiteit Leuven
Celestijnenlaan 200A (Room 04.25)
B-3001 Heverlee
Belgium

Phone: +32 (0)16 32 53 83
Fax: +32 (0)16 32 79 96
email

Short biography


Marie-Francine (Sien) Moens is a professor at the Department of Computer Science of the Katholieke Universiteit Leuven, Belgium. She holds a M.Sc. and a Ph.D. degree in Computer Science from this university. She is head of the Language Intelligence and Information retrieval (LIIR) research group, and is a member of the Human Computer Interaction unit.

Her main interests are in the domain of automated content retrieval and extraction from text using a combination of statistical, machine learning and symbolic techniques, and exploiting insights from linguistic and cognitive theories. She investigates topics such as:

  • Content recognition in text, information extraction, discourse understanding, text mining, knowledge acquisition, machine reading of text
  • Processing of noisy text such as user generated content and speech transcripts
  • Information retrieval and search models, text based question answering and reasoning
  • Machine learning for natural language processing, especially learning with limited supervision
  • Cross-media and cross-lingual alignment and summarization of content
  • e-Forensics: content and email filtering.
She is currently appointed as chair of the European Chapter of the Association for Computational Linguistics (EACL) and is member of the executive board of the Association for Computational Linguistics (EACL) . She is a member of the Research Council of the Katholieke Universiteit Leuven.

She is the author of many international publications and books including the publication of:


Moens, M.-F. (2000). Automatic Indexing and Abstracting of Document Texts (The Kluwer International Series on Information Retrieval 6). Kluwer Academic Publishers: Boston.

Moens, M.-F. (2006). Information Extraction: Algorithms and Prospects in a Retrieval Context (The Information Retrieval Series 21). New York: Springer.


Slides of inaugural lesson given on 8-2-2008



Curriculum vitae



Teaching

B-KUL-H02C8A - Text Based Information Retrieval - Part A

B-KUL-H02C8B - Text Based Information Retrieval - Part B

B-KUL-H02B1AE - Natural Language Processing

B-KUL-G0J98AE - Current Trends in Databases

B-KUL-G0N28A - Beginselen van programmeren

B-KUL-G0K34A - Geschiedenis van de informatica


Research projects

CLARINCommon Language Resources and Technology Infrastructure
DAISYDutch lAnguage Investigation of Summarization technologY
MUMIAMUltilingual and Multifaceted Interactive information Access
MUSEMachine Understanding for interactive StorytElling
PARISPersonalised AdveRtisements buIlt from web Sources
RadicalRadical Innovations
SAEL-RMR A Synergetic Approach to Extraction, Learning and Reasoning for Machine Reading
Spraak2Taal Extraction of Ideological Content from Political Speeches
TERENCEAn Adaptive Learning System for Reasoning about Stories with Poor Comprehenders and their Educators
TermWiseTermWise: Resources for Specialized Language Use
TOSCA-MPTask-Oriented Search and Content Annotation for Media Production
A4MC3Architectures for Mobile Community Content Creation
ACILAAutomatic Detection and Classification of Arguments in a Legal Case
AcknowledgeAccessible & Open Knowledge Infrastructure for Flanders
AMASS++Advanced Multimedia Alignment and Structured Summarization
AntiPhishAnticipatory Learning for Reliable Phishing Prevention
CADIALComputer Aided Document Indexing for Accessing Legislation
CLASSCognitive-Level Annotation using Latent Statistical Structure
CORNETTOCombinatorial and Relational Network as Toolkit for Dutch Language Technology
GIEGeneric Technology for Information Extraction from Texts
INFO-NSIntelligent exploitation tools for nonstructured information for the Belgian federal police
ISISIndexing Structures and retrievability of Information Sources
LINDOLarge scale distributed INDexation of multimedia Objects
PuppyIRAn Open Source Environment to Construct Information Services for Children
TEXT MININGText Mining for the Dissemination of Statistical Information via the Internet
TIMEAdvanced Time Based Text Mining
WebInsightWebInsight: Towards Modeling Correlation and Evolution of Web Documents


Recent invited keynotes

Machine Understanding of Text: A Complex Puzzle to Unravel, 13th International Conference on Intelligent Text Processing and Computational Linguistics, 16-3-2012, Indian Institute of Technology, New Delhi, India.

More than Just Words: Discovering the Semantics of Text with a Minimum of Supervision Fourteenth Portuguese Conference on Artificial Intelligence (EPIA 2009), 14-10-2009, University of Aveiro, Portugal.

Mining Opinions in Blogs: The Good, the Bad and the Ugly, 6ème Conférence en Recherche d'Information et Applications (CORIA 2009), 5-5-2009, VVF Presqu'île de Giens - VAR, France.



Recent invited tutorials

Question Answering, tutorial at the EU Erasmus Mundus Intensive Programme Information Foraging , Nijmegen, The Netherlands, 22-8-2011 - 5-9-2011.

Extraction d'information, tutorial at the Ecole d'Automne en Recherche d'Information et Applications, EARIA 2010, Saint-Germain-Au-Mont-d'Or, France, 8-11-2010 - 10-11-2010 .

Automatically Linking Content Across Languages and Media, tutorial at the 4th Chinese Semantic Web Symposium (CSSW 2010), Tsinghua University, China, 19-8-2010.

Linking Content in Unstructured Sources, tutorial at the 19th International World Wide Web Conference (WWW 2010), Raleigh, NC, 27-4-2010.

Information Extraction and Linking in a Retrieval Context, tutorial jointly with Djoerd Hiemstra at the 31st European Conference on Information Retrieval, Toulouse, France, 6-4-2009 .

Text Mining, Information and Fact Extraction, tutorial at the 2nd Russian Summer School in Information Retrieval, Taganrog, Russia, 1-9-2008 – 5-9-2008.



Publications

See LIRIAS database.
  1. GOMEZ, Juan Carlos & MOENS, Marie-Francine (2012) PCA Document Reconstruction for Email Classification. Computational Statistics and Data Analysis, 56 (3), 741-751.
  2. KORDJAMSHIDI, Parisa, VAN OTTERLO, Martijn, FRASCONI, Paolo, MOENS, Marie-Francine & Luc DE RAEDT (2012) Relational Learning for Spatial Relation Extraction from Natural Language. In Proceedings of Inductive Logic Programming (Lecture Notes in Artificial Intelligence). Berlin:Springer.
  3. DE BELDER, Jan & MOENS, Marie-Francine (2012) A Dataset for the Evaluation of Lexical Simplification. In Proceedings of the CICLing Conference on Intelligent Text Processing and Computational Linguistics (Lecture Notes in Computer Science). Berlin: Springer. download
  4. JANS, Bram, VULIC, Ivan, BETHARD, Steven & MOENS, Marie-Francine (2012) Skip N-grams and Ranking Functions for Predicting Script Events. In Proceedings of the Thirteenth Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012). ACL.
  5. VULIC, Ivan & MOENS, Marie-Francine (2012) Detecting Highly Confident Word Translations from Comparable Corpora without Any Prior Knowledge. In Proceedings of the Thirteenth Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012). ACL.
  6. VOSSEN, P., VAN DER VLIET, H., MAKS, I., SEGERS, R., MOENS, M.-F., HOFMANN K., SANG E.T.K. & DE RIJKE, M. (2012) Cornetto: A Combinatorial Lexical Semantic Database for Dutch. In P. Spyns (Ed.), Essential Speech and Language Technology for Dutch: Resources, Tools and Applications. Berlin: Springer.
  7. DE BELDER, J., De KOK, D., VAN NOORD, G., NAUZE, F., VAN DER BEEK, L. & MOENS, M.-F. (2012) Question Answering of Informative Web Pages: How Summarization Technology Helps. In P. Spyns (Ed.), Essential Speech and Language Technology for Dutch: Resources, Tools and Applications. Berlin: Springer.
  8. KOLOMIYETS, Oleksandr, BETHARD, Steven & MOENS, Marie-Francine (2012) Extracting Narrative Timelines as Temporal Dependency Structures. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics. ACL
  9. BETHARD, Steven, KOLOMIYETS, O. & MOENS, Marie-Francine (2012) Annotating Story Timelines as Temporal Dependency Structures. In Proceedings of the International Conference on Language Resources and Evaluation Conference (LREC 2012) . ELRA.
  10. DESCHACHT, Koen, DE BELDER, J. & MOENS, Marie-Francine (2012) The Latent Words Language Model. Computer Speech and Language.(in press).
  11. GOMEZ, Juan Carlos & MOENS, Marie-Francine (2012) Hierarchical Classification of Web documents by Stratified Discriminant Analysis In Proceedings of the 5th Information Retrieval Facility Conference 2012 (Lecture Notes in Computer Science). Berlin: Springer.
  12. XIA, Huan, LI, Juanzi, TANG Jie & MOENS, Marie-Francine (2012) Plink-LDA: Using Link as Prior Information in Topic Modeling. In Proceedings of The 17th International Conference on Database Systems for Advanced Applications (DASFAA 2012).
  13. GOMEZ, Juan Carlos & MOENS, Marie-Francine (2012) Multilayered Class Discrimination in Large-Scale Taxonomies. In Proceedings of the 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems ( Lecture Notes in Computer Science). Berlin: Springer.
  14. POULISSE, Gert-Jan, PATSIS, Yorgos & MOENS, Marie-Francine (2012) Unsupervised Scene Detection and Commentator Building Using Multi-modal Chains. Multimedia Tools and Applications (in press).
  15. VULIC, Ivan, DE SMET, Wim & MOENS, Marie-Francine (2012) Cross-Language Information Retrieval Models Based on Latent Topic Models Trained with Document-Aligned Comparable Corpora. Information Retrieval (in press).
  16. KORDJAMSHIDI, Parisa, BETHARD, Steven & MOENS, Marie-Francine (2012) SemEval-2012 Task 3: Spatial Role Labeling. In Proceedings of the SemEval-2012 Evaluation Exercises. ACL
  17. QUAN, Li, KOLOMIYETS, Oleksandr & MOENS, Marie-Francine (2012) KU Leuven at HOO-2012: A Hybrid Approach for the Detection and Correction of Determiner and Preposition Errors in Non-native English Text. In Proceedings of the Building Educational Applications Workshop at NAACL 2012. ACL
  18. DE SMET, Wim & MOENS, Marie-Francine (2012) Representations for Multi-Document Event Clustering. Data Mining and Knowledge Discovery (in press).

Go back to the LIIR research group webpages.