Search Results for author: Diego Moussallem

Found 24 papers, 15 papers with code

Where is Linked Data in Question Answering over Linked Data?

no code implementations7 May 2020 Tommaso Soru, Edgard Marx, André Valdestilhas, Diego Moussallem, Gustavo Publio, Muhammad Saleem

We argue that "Question Answering with Knowledge Base" and "Question Answering over Linked Data" are currently two instances of the same problem, despite one explicitly declares to deal with Linked Data.

Question Answering

A Holistic Natural Language Generation Framework for the Semantic Web

no code implementations RANLP 2019 Axel-Cyrille Ngonga Ngomo, Diego Moussallem, Lorenz Bühmann

With the ever-growing generation of data for the Semantic Web comes an increasing demand for this data to be made available to non-semantic Web experts.

Text Generation

Semantic Web for Machine Translation: Challenges and Directions

no code implementations23 Jul 2019 Diego Moussallem, Matthias Wauer, Axel-Cyrille Ngonga Ngomo

Moreover, our research suggests that while Semantic Web technologies can enhance the quality of machine translation outputs for various problems, the combination of both is still in its infancy.

Machine Translation Translation

Augmenting Neural Machine Translation with Knowledge Graphs

1 code implementation23 Feb 2019 Diego Moussallem, Mihael Arčan, Axel-Cyrille Ngonga Ngomo, Paul Buitelaar

While neural networks have been used extensively to make substantial progress in the machine translation task, they are known for being heavily dependent on the availability of large amounts of training data.

Knowledge Graphs Machine Translation +2

Enriching the WebNLG corpus

1 code implementation WS 2018 Thiago Castro Ferreira, Diego Moussallem, Emiel Krahmer, S Wubben, er

This paper describes the enrichment of WebNLG corpus (Gardent et al., 2017a, b), with the aim to further extend its usefulness as a resource for evaluating common NLG tasks, including Discourse Ordering, Lexicalization and Referring Expression Generation.

Machine Translation Referring Expression +3

NeuralREG: An end-to-end approach to referring expression generation

1 code implementation ACL 2018 Thiago Castro Ferreira, Diego Moussallem, Ákos Kádár, Sander Wubben, Emiel Krahmer

Traditionally, Referring Expression Generation (REG) models first decide on the form and then on the content of references to discourse entities in text, typically relying on features such as salience and grammatical function.

Referring Expression Referring expression generation

Expeditious Generation of Knowledge Graph Embeddings

1 code implementation21 Mar 2018 Tommaso Soru, Stefano Ruberto, Diego Moussallem, André Valdestilhas, Alexander Bigerl, Edgard Marx, Diego Esteves

Knowledge Graph Embedding methods aim at representing entities and relations in a knowledge base as points or vectors in a continuous vector space.

Knowledge Graph Completion Knowledge Graph Embedding +3

LIDIOMS: A Multilingual Linked Idioms Data Set

1 code implementation LREC 2018 Diego Moussallem, Mohamed Ahmed Sherif, Diego Esteves, Marcos Zampieri, Axel-Cyrille Ngonga Ngomo

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.

RDF2PT: Generating Brazilian Portuguese Texts from RDF Data

1 code implementation LREC 2018 Diego Moussallem, Thiago castro Ferreira, Marcos Zampieri, Maria Claudia Cavalcanti, Geraldo Xexéo, Mariana Neves, Axel-Cyrille Ngonga Ngomo

The generation of natural language from Resource Description Framework (RDF) data has recently gained significant attention due to the continuous growth of Linked Data.

Machine Translation using Semantic Web Technologies: A Survey

no code implementations26 Nov 2017 Diego Moussallem, Matthias Wauer, Axel-Cyrille Ngonga Ngomo

A large number of machine translation approaches have recently been developed to facilitate the fluid migration of content across languages.

Machine Translation Translation

TANKER: Distributed Architecture for Named Entity Recognition and Disambiguation

no code implementations30 Aug 2017 Sandro A. Coelho, Diego Moussallem, Gustavo C. Publio, Diego Esteves

Named Entity Recognition and Disambiguation (NERD) systems have recently been widely researched to deal with the significant growth of the Web.

Machine Translation named-entity-recognition +3

SPARQL as a Foreign Language

1 code implementation25 Aug 2017 Tommaso Soru, Edgard Marx, Diego Moussallem, Gustavo Publio, André Valdestilhas, Diego Esteves, Ciro Baron Neto

In the last years, the Linked Data Cloud has achieved a size of more than 100 billion facts pertaining to a multitude of domains.

Graph Question Answering Knowledge Base Question Answering +1

Using Ontology-Based Context in the Portuguese-English Translation of Homographs in Textual Dialogues

no code implementations7 Oct 2015 Diego Moussallem, Ricardo Choren

This paper introduces a novel approach to tackle the existing gap on message translations in dialogue systems.


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