5 papers · 1 filter
Open-domain Event Extraction and Embedding for Natural Gas Market Prediction
Minh Triet Chau, Diego Esteves, Jens Lehmann
We propose an approach to predict the natural gas price in several days using historical price data and events extracted from news headlines. Most previous methods treats price as…
Neural Machine Translation for Query Construction and Composition
Tommaso Soru, Edgard Marx, André Valdestilhas +3
Research on question answering with knowledge base has recently seen an increasing use of deep architectures. In this extended abstract, we study the application of the neural mach…
Expeditious Generation of Knowledge Graph Embeddings
Tommaso Soru, Stefano Ruberto, Diego Moussallem +4
Knowledge Graph Embedding methods aim at representing entities and relations in a knowledge base as points or vectors in a continuous vector space. Several approaches using embeddi…
LIDIOMS: A Multilingual Linked Idioms Data Set
Diego Moussallem, Mohamed Ahmed Sherif, Diego Esteves +2
In this paper, we describe the LIDIOMS data set, a multilingual RDF representation of idioms currently containing five languages: English, German, Italian, Portuguese, and Russian.…
TANKER: Distributed Architecture for Named Entity Recognition and Disambiguation
Sandro A. Coelho, Diego Moussallem, Gustavo C. Publio +1
Named Entity Recognition and Disambiguation (NERD) systems have recently been widely researched to deal with the significant growth of the Web. NERD systems are crucial for several…