activity
20172026
most citedNeural Wikipedian: Generating Textual Summaries from Knowledge Base Triples

68 citations · 97 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Translation from the Information Bottleneck Perspective: an Efficiency Analysis of Spatial Prepositions in Bitexts

Antoine Taroni, Ludovic Moncla, Frederique Laforest

Efficient communication requires balancing informativity and simplicity when encoding meanings. The Information Bottleneck (IB) framework captures this trade-off formally, predicti…

cs.DB2021★ 2 cited

PREC: semantic translation of property graphs

Julian Bruyat, Pierre-Antoine Champin, Lionel Médini +1

Converting property graphs to RDF graphs allows to enhance the interoperability of knowledge graphs. But existing tools perform the same conversion for every graph, regardless of i…

cs.CL2018★ 4 cited

Learning to Generate Wikipedia Summaries for Underserved Languages from Wikidata

Lucie-Aimée Kaffee, Hady Elsahar, Pavlos Vougiouklis +4

While Wikipedia exists in 287 languages, its content is unevenly distributed among them. In this work, we investigate the generation of open domain Wikipedia summaries in underserv…

cs.CL2018★ 1 cited

Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types

Hady Elsahar, Christophe Gravier, Frederique Laforest

We present a neural model for question generation from knowledge base triples in a "Zero-Shot" setup, that is generating questions for triples containing predicates, subject types…

cs.CL2018★ 22 cited

Unsupervised Open Relation Extraction

Hady Elsahar, Elena Demidova, Simon Gottschalk +2

We explore methods to extract relations between named entities from free text in an unsupervised setting. In addition to standard feature extraction, we develop a novel method to r…

cs.CL2017★ 68 cited

Neural Wikipedian: Generating Textual Summaries from Knowledge Base Triples

Pavlos Vougiouklis, Hady Elsahar, Lucie-Aimée Kaffee +4

Most people do not interact with Semantic Web data directly. Unless they have the expertise to understand the underlying technology, they need textual or visual interfaces to help…