Hierarchical frame induction via probabilistic models (B08)

• Subject Area: General and Comparative Linguistics, Experimental Linguistics, Typology, Non-European Languages
• Term: from 2015 to 2020
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 192776181

Project B08 aims at unsupervised induction of frames for events described by verbs, using techniques from probabilistic frame modeling and from machine learning. The term ”unsupervised” refers to semantic information, i.e., the system takes syntactic information as input. The outcome should not only identify predicate-argument relations but also provide a rich characterization of these relations via hierarchically ordered frame types and semantic roles. In the third CRC phase, B08 will focus on a) alternations between verb frames, b) extensions beyond sentence-level, c) a broader choice of machine learning techniques, and d) multi-lingual frame induction.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 991: The Structure of Representations in Language, Cognition and Science
• Applicant Institution: Heinrich-Heine-Universität Düsseldorf
• Project Head: Professorin Dr. Laura Kallmeyer