Task-specific Pre-training and Prompt Decomposition for Knowledge Graph Population with Language Models

1 code implementation • 26 Aug 2022 • Tianyi Li, WenYu Huang, Nikos Papasarantopoulos, Pavlos Vougiouklis, Jeff Z. Pan

Our system is the winner of track 1 of the LM-KBC challenge, based on BERT LM; it achieves 55. 0% F-1 score on the hidden test set of the challenge.

Retrieval

T-REx: A Large Scale Alignment of Natural Language with Knowledge Base Triples

1 code implementation • LREC 2018 • Hady Elsahar, Pavlos Vougiouklis, Arslen Remaci, Christophe Gravier, Jonathon Hare, Frederique Laforest, Elena Simperl

Entity Linking Knowledge Base Population +3

Learning to Generate Wikipedia Summaries for Underserved Languages from Wikidata

1 code implementation • NAACL 2018 • Lucie-Aimée Kaffee, Hady Elsahar, Pavlos Vougiouklis, Christophe Gravier, Frédérique Laforest, Jonathon Hare, Elena Simperl

While Wikipedia exists in 287 languages, its content is unevenly distributed among them.

Neural Wikipedian: Generating Textual Summaries from Knowledge Base Triples

1 code implementation • 1 Nov 2017 • Pavlos Vougiouklis, Hady Elsahar, Lucie-Aimée Kaffee, Christoph Gravier, Frederique Laforest, Jonathon Hare, Elena Simperl

We explore the problem of generating natural language summaries for Semantic Web data.

A Neural Network Approach for Knowledge-Driven Response Generation

1 code implementation • COLING 2016 • Pavlos Vougiouklis, Jonathon Hare, Elena Simperl

Our model is based on a Recurrent Neural Network (RNN) that is trained over concatenated sequences of comments, a Convolution Neural Network that is trained over Wikipedia sentences and a formulation that couples the two trained embeddings in a multimodal space.

Response Generation

Aligning Texts and Knowledge Bases with Semantic Sentence Simplification

no code implementations • WS 2016 • Yassine Mrabet, Pavlos Vougiouklis, Halil Kilicoglu, Claire Gardent, Dina Demner-Fushman, Jonathon Hare, Elena Simperl

Information Retrieval Text Generation +1