T-REx: A Large Scale Alignment of Natural Language with Knowledge Base Triples ; Anthology ID: L18-1544 ; Volume: Proceedings of the Eleventh International�...

With 11 million triple alignments made from 3.09 million DBpedia abstracts (6.2 million sentences), T-REx is two orders of magnitude larger than the largest�...

T-Rex : A Large Scale Alignment of Natural Language with Knowledge Base Triples. This repository contains the extraction framework for T-REx Dataset. More�...

A dataset of large scale alignments between Wikipedia abstracts and Wikidata triples. T-REx consists of 11 million triples aligned with 3.09 million�...

May 7, 2018 � T-REx, a dataset of large scale alignments between Wikipedia abstracts and Wikidata triples, is presented, which is two orders of magnitude�...

T-REx: A Large Scale Alignment of Natural Language with Knowledge Base Triples ... Knowledge Base Population � Question Answering � Relation Extraction � Text�...

Abstract. Alignments between natural language and Knowledge Base (KB) triples are an essential prerequisite for training machine learning.

Dec 13, 2021 � Using T-rex dataset with OpenNMT ... REx : A Large Scale Alignment of Natural Language with Knowledge Base Triples). ... t-rex dataset. Is there a�...

Feb 2, 2018 � Alignments between natural language and Knowledge Base (KB) triples are an essential prerequisite for training machine learning approaches�...

May 7, 2018 � T-REx: A Large Scale Alignment of Natural Language with Knowledge Base Triples ... Published with Wowchemy — the free, open source website builder�...