The EcoLexicon Semantic Sketch Grammar: from Knowledge Patterns to Word Sketches
P. Le\'on-Ara\'uz, A. San Mart\'in

TL;DR
This paper introduces the EcoLexicon Semantic Sketch Grammar, a tool integrated into Sketch Engine that automates the extraction of semantic relations from English corpora, aiding terminologists in semantic analysis.
Contribution
It presents the development and evaluation of a knowledge pattern-based sketch grammar for semantic relation extraction, enhancing user-friendly access to semantic contexts.
Findings
Initial evaluation shows promising precision and recall metrics.
Refinement of rules improves accuracy and reduces noise.
The tool enables domain-independent semantic relation extraction.
Abstract
Many projects have applied knowledge patterns (KPs) to the retrieval of specialized information. Yet terminologists still rely on manual analysis of concordance lines to extract semantic information, since there are no user-friendly publicly available applications enabling them to find knowledge rich contexts (KRCs). To fill this void, we have created the KP-based EcoLexicon Semantic SketchGrammar (ESSG) in the well-known corpus query system Sketch Engine. For the first time, the ESSG is now publicly available inSketch Engine to query the EcoLexicon English Corpus. Additionally, reusing the ESSG in any English corpus uploaded by the user enables Sketch Engine to extract KRCs codifying generic-specific, part-whole, location, cause and function relations, because most of the KPs are domain-independent. The information is displayed in the form of summary lists (word sketches) containing…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLinguistics and Cultural Studies · Linguistic research and analysis · Linguistic Education and Pedagogy
