Semantic Role Labeling

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This is a technical problem related to one of the term projects in Information Extraction 10-707 in Fall 2010.

Semantic role labeling is a task of detecting the semantic arguments of a sentence. Typical semantic arguments are usually about roles related with the predicate or verb of a sentence such as agent, patient, and instrument. Recognizing and labeling semantic arguments could be crucial in all NLP tasks such like Information extraction and Question Answering.

History

Semantic role labeling has been studied as shared tasks at CoNLL-2004 and CoNLL-2005.

Details

The following sentence, taken from the PropBank corpus, shows the semantic role labeling.

[A0 He ] [AM-MOD would ] [AM-NEG n't ] [V accept ] [A1 anything of value ] from [A2 those he was writing about ] .

State of the art

Related Paper

The Gildea and Jurafsky Computational Linguistics 2002 is a paper solving the semantic role labeling problem.