SemLink

SemLink is a project whose aim is to link together different lexical resources via a set of mappings. These mappings will make it possible to combine the different information provided by these different lexical resources for tasks such as inferencing. In the current release, two mappings are ava...

Resource Type:Lexical / Conceptual
Media Type:Text
Language:English
TakeLab Vectors

This resource includes the distributional semantic vectors used for the replication of the TakeLab system (https://github.com/nlx-group/arct-rep-rev). The TakeLab system is an automatic classifier for the Argument Reasoning Comprehension Task (https://www.aclweb.org/anthology/S18-1121/). The ...

Resource Type:Lexical / Conceptual
Media Type:Text
Language:English
Time-sensitive inventory of medical terminology

This inventory contains a set of terms that are relevant to the study of medical history. The inventory is organised as a set of "heading terms", belonging to one of seven different semantic categories, each of which is accompanied by a set of semantically-related terms. There are around 175,0...

Resource Type:Lexical / Conceptual
Media Type:Text
Language:English
A Terminological Inventory for Biodiversity

In order to construct the inventory, we firstly compiled a species name dictionary by combining all of the names available in Catalogue of Life (CoL), Encyclopedia of Life (EoL) and Global Biodiversity Information Facility (GBIF). The terms contained in this dictionary were then located within ...

Resource Type:Lexical / Conceptual
Media Type:Text
Language:English
Adimen-SUMO v2.6

Adimen-SUMO is an off-the-shelf first-order ontology that has been obtained by reengineering out of the 88% of SUMO (Suggested Upper Merged Ontology). Adimen-SUMO can be used appropriately by FO theorem provers (like E-Prover or Vampire) for formal reasoning.

Resource Type:Lexical / Conceptual
Media Type:Text
Language:English
AcadOnto

An academic domain ontology populated using IIT Bombay organization corpus, web and the linked open data.

Resource Type:Lexical / Conceptual
Media Type:Text
Language:English