Semantic Role Labeling Tuned with Big Data

Student: Evstratenko Bogdan

Educational Programme: Fundamental and Computational Linguistics (Bachelor)

Year of Graduation: 2016

In this work, I investigate an automatic semantic role labelling in Russian. The aim of my research is to write the most accurate parser for Russian language. The script labels constituents with either abstract semantic roles such as AGENT or PATIENT, or more domain-specific semantic roles such as Beneficiary, Experiencer, Stimulus, Instrument, Recipient, Purpose. Also, the paper describes the data collection, methods and tools that were used for marking the semantic roles of individual words.

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