Dr. Silvana Hartmann

Exploring and applying AI techniques in Multichannel Retail.

Research on semantic and pragmatic functions of code-switching for English and Hindi, based on English and Hindi Twitter messages and spoken conversations.

Defended thesis on "Knowledge-based and Domain-adaptive Semantic Role Labeling" on September 30, 2016. Doctoral Researcher in the DFG-funded projects QAEL/InCoRe at UKP Lab, Department of Computer Science, Technische Universität Darmstadt; Tasks include research, funding proposals and reporting, coordination of research projects, coordination of linguistic annotation studies, student supervision and teaching, open-source software development as part of the UBY API.

Visiting researcher at the Center for Computational Language and EducAtion Research (CLEAR)

Project on discriminative reranking for query rewrites with the Ads Quality team. Acquired skills: Python, working with large data sets in a distributed framework, integrating code into a professional development environment (Perforce)

At the Department of WebSphere VoiceServer Language Development. Demo applications for spoken dialogue systems: A traffic information system and a login dialogue using speaker identification. Development of skills in VoiceXML and JSP.

Semantic Role Labeling, Domain Adaptation

Introduction to Machine Learning and Statistical Methods for NLP, Natural language processing (Semantics, Syntax)

Natural language semantics, Lexical semantics, Computer Science, Thesis on "Discriminative Reranking of Query Rewrites"