Semantic Role Labeling (SRL) System

A Semantic Role Labeling (SRL) System is a shallow semantic parsing system that applies a semantic role labeling algorithm to solve a semantic role labeling task.

• Context:
  • It can (typically) identify the agent, patient, and other semantic roles in a sentence.
  • It can support NLU Systems.
  • It can range from being a Heuristic Semantic Role Labeling System to being a Data-Driven Semantic Role Labeling System.
  • ...
• Example(s):
  • https://demo.allennlp.org/semantic-role-labeling/ (DEPRECATED?)
  • http://cogcomp.cs.illinois.edu/page/demo_view/SRL (DEPRECATED?)
  • The SRL system in the Apache OpenNLP library (https://opennlp.apache.org/docs/1.9.3/manual/opennlp.html#tools.parser.opennlp.tools.parser.SRL)
  • The SENNA SRL system (https://ronan.collobert.com/senna/)
  • The Mate Tools SRL system (https://code.google.com/archive/p/mate-tools/)
  • The ClearNLP SRL component (https://github.com/clir/clearnlp)
  • ...
• Counter-Example(s):
  • an NER System.
  • a Syntactic Parsing System.
• See: Shallow Parsing System.

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