1. Semantic Roles

1.1 Commonly used thematic roles

1.2 Issues with thematic roles

• No universally agreed-upon set of roles
• Items with the same role may not behave quite the same

Problem avoid:

• Specific to individual verbs only (PropBank)
• Specific to small groups of verbs (FrameNet)

#2. Labelling

2.1 PropBank

Frame Roles:

• Arg0-PAG: loader
• Arg1-GOL: beast of burden
• Arg2-PPT: cargo
• Arg3-MNR: instrument

2.2 FrameNet

==Meanings are reletavised to scenes!==

• Tries to capture relationships among word and phrase meanings by assigning them the same frame
• $\approx 1000$ frames represent scenarios
• Frames are explained with textual descriptions and linguistic examples

Resources:

• FrameNets for several languages
• Some data annotated with Frame elements from FrameNet
• SEMAFOR: a frame-semantic parser