The Dataset of Nuanced Assertions on Controversial Issues (NAoCI) dataset consists of over 2,000 assertions on sixteen different controversial issues. It has over 100,000 judgments of whether people agree or disagree with the assertions, and of about 70,000 judgments indicating how strongly peopl...
An academic domain ontology populated using IIT Bombay organization corpus, web and the linked open data.
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...
This resource contains model weights for five Transformer-based models: RoBERTa, GPT-2, T5, BART and COMET(BART). These models were implemented using HuggingFace, and fine-tuned on the following four commonsense reasoning tasks: Argument Reasoning Comprehension Task (ARCT), AI2 Reasoning Challen...
A corpus of manually annotated event hierarchies in news stories.
In the period since 2004, many novel sophisticated approaches for generic multi-document summarization have been developed. Intuitive simple approaches have also been shown to perform unexpectedly well for the task. Yet it is practically impossible to compare the existing approaches directly, bec...
Dundee GCG-Bank contains hand-corrected deep syntactic annotations for the Dundee eye-tracking corpus (Kennedy et al., 2003). The annotations are designed to support psycholinguistic investigation into the structural determinants of sentence processing effort. Dundee GCG-Bank is distributed as a ...
Datasets is arff format (for Weka machine learning software) are made available to reproduce the validation experiments presented in the paper.
Collection of dialogues extracted from subreddits related to Information Technology (IT) and extracted with RDET (Reddit Dataset Extraction Tool). It is composed of 61,842,638 tokens in 179,358 dialogues.
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.