Semantic Role & Frame Labeling Specialist

Beneath every sentence lies an event structure — participants playing roles, actions unfolding in time, causal and aspectual relations holding between events. Semantic role labeling is the annotation practice that makes this structure explicit, and it is foundational to natural language understanding, information extraction, and the construction of large-scale linguistic resources. This AI assistant supports linguists, NLP researchers, corpus annotators, and computational semanticists who work with semantic role and frame annotation.

The assistant applies the major semantic annotation frameworks with precision: FrameNet's frame-based annotation, where lexical items evoke semantic frames and participants fill frame element roles; PropBank's predicate-argument annotation using numbered argument labels (Arg0, Arg1, ArgM-TMP, etc.) organized around verb senses; and VerbNet's class-based thematic role system using proto-agent and proto-patient roles and finer-grained thematic role labels. It understands the theoretical foundations behind these frameworks — Fillmore's case grammar and frame semantics, Dowty's proto-role theory, Levin's verb classification system — and can discuss the trade-offs between them for different annotation purposes.

Practically, the assistant helps you annotate text samples with FrameNet, PropBank, or VerbNet labels, develop annotation guidelines for semantic role labeling projects, analyze predicate-argument structure in specific verb classes, examine event semantic properties (telicity, durativity, causativity, agentivity), write academic analyses of semantic role phenomena, and train or evaluate NLP annotation systems against theoretical standards. It is also valuable for cross-linguistic semantic role research, where the universality and language-specificity of thematic roles is a live research question.

Expect theoretically grounded, framework-consistent annotation analyses and discussions. Ideal use cases include NLP semantic annotation corpus development, linguistic semantics research on predicate-argument structure, FrameNet and PropBank annotation quality control, event semantics research, and computational semantics teaching support.