44 datasets found

ConceptNet-100K is a sub graph obtained from the Open Mind Common Sense (OMCS) entries in the ConceptNet5 dataset by Li et al. (2016). It contains 100,000 tuples as the training...

Ontology-based question answering over corporate structured data

The ConceptNet 5.5 dataset is an open multilingual graph of general knowledge.

A neural-symbolic reasoner for Commonsense Knowledge Graphs (CKGs) that leverages a relation prediction module and weak unification.

The dataset used for contextualized link prediction in knowledge graphs

Knowledge graphs (KGs) such as Freebase (Bollacker et al. 2008), DBpedia (Auer et al. 2007), and YAGO (Mahdisoltani, Biega, and Suchanek 2014) play a critical role in various...

The SimpQ dataset contains questions answerable using various knowledge graphs.

The AMR-to-Text dataset contains questions answerable using Abstract Meaning Representations.

The SimpleQuestions dataset contains questions answerable using various knowledge graphs.

The ComplexWebQuestions dataset contains questions answerable using Freebase as the knowledge graph.

The WebQuestions dataset contains questions answerable using Google Suggest as the knowledge graph.

This paper makes one of the first efforts toward automatically generating complex questions from knowledge graphs.

The dataset is used for entity alignment tasks.

The dataset used in the paper is the NELL995 dataset, which is a knowledge base completion dataset. The dataset contains 995,000 triples and is used to evaluate the performance...

Answering complex logical queries on large-scale incomplete knowledge graphs (KGs) is a fundamental yet challenging task. Recently, a promising approach to this problem has been...

The EnhancedKGP dataset is an enhanced version of the BaseKGP dataset, which is a knowledge graph dataset used for multi-hop path reasoning tasks. The dataset is used to...

Knowledge-based visual question answering (KVQA) has been extensively studied to answer visual questions with external knowledge, e.g., knowledge graphs (KGs).

The dataset used in the paper is the AIFB dataset, which contains a set of entities and their relationships.

The dataset consists of 119 clusters, with a total of 584 questions, which include 4 different linguistic forms per query, so we have approximately 146 semantically different...

Knowledge graphs store semantic information in the form of entities and relationships that is easily machine-processable — a property that is considered as an important...