gling07/Text2DRS
System Text2Drs takes English narrative as an input and outputs a discourse representation structure in Neo-Davidsonian style. Text2DRS relies on lexical resource VerbNet for annotating the specific relations between relevant entities and events mentioned in the given narrative using the verb classes and thematic roles of VerbNet.
This tool helps convert English narrative texts into a formal, structured representation of actions and relationships. You provide a text file describing events, and it generates a Discourse Representation Structure (DRS) that clarifies who did what, to whom, and where. It's designed for computational linguists or AI researchers working with natural language understanding.
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Use this if you need to transform narrative text descriptions into a machine-readable format that explicitly details entities, events, and their semantic roles.
Not ideal if you're looking for a simple text summarization tool or a general-purpose natural language processing library.
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May 30, 2018
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