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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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portfolio
publications
Acquiring Relational Patterns from Wikipedia: A Case Study.
Published in LTC (5th Language and Technology Conference) Proceeding, Poland, 2011
This paper is about acquiring relational patterns from wikipedia.
Recommended citation: Rahmad Mahendra, Lilian Wanzare, Raffaella Bernardi, Alberto Lavelli and Bernardo Magnini (2011). "Acquiring Relational Patterns from Wikipedia: A Case Study." LTC 2011 (5th Language and Technology Conference) Proceeding, Poland. http://disi.unitn.it/~bernardi/Papers/ltc.pdf
DeScript: A crowdsourced Corpus for the Acquisition of High-Quality Script Knowledge.
Published in Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC),Portoroz, Slovenia, 2016
This paper is about building a corpus of short sentences explicitly describing event sequences for various everyday scenarios.
Recommended citation: Wanzare, L., Zarcone A.,Thater, S., Pinkal, M. (2016). "DeScript: A crowdsourced Corpus for the Acquisition of High-Quality Script Knowledge." Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC), Portoroz, Slovenia.. http://www.lrec-conf.org/proceedings/lrec2016/pdf/913_Paper.pdf
Inducing Script Structure from Crowdsourced Event Descriptions via Semi-Supervised Clustering
Published in Proceedings of the Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics (LSDSem), Valencia, Spain, 2017
This paper is about inducing script structure from crowdsourced event sequence descriptions about everyday scenarios.
Recommended citation: Wanzare, L., Zarcone, A., Thater, S. & Pinkal, M. (2017). "Inducing Script Structure from Crowdsourced Event Descriptions via Semi-Supervised Clustering." Proceedings of the Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics (LSDSem), Valencia, Spain.. http://aclweb.org/anthology/W17-0901
Detecting Everyday Scenarios in Narrative texts
Published in Proceedings of the Second Workshop of Storytelling@ACL, Florence, Italy, 2019
This paper is about segmenting and classifying segments in narrative texts with the scenarios they instantiate.
Recommended citation: Wanzare, L., Roth, M. ,& Pinkal, M. (2019). "Detecting Everyday Scenarios in Narrative texts." Proceedings of the Second Workshop of Storytelling@ACL, Florence, Italy. https://arxiv.org/abs/1906.04102
talks
teaching
Teaching experience 1
Undergraduate course, University of Nairobi, 2011
Taught: Knowledge based systems, Introduction to Artificial Intelligence
Teaching experience 2
Undergraduate course, Inoorero University, 2012
Taught: Object Oriented Analysis and Design with UML, Event Driven programming, Programming with Java
Teaching experience 3
Undergraduate course, Maseno University, 2012
Taught: Courses taught: Object Oriented programming with Java, Essentials of Artificial Intelligence, Data mining, Information retrieval, Probability and Statistics, Automata theory, Discrete mathematics.