Search Results for author: Sébastien Harispe

Found 4 papers, 1 papers with code

Can Knowledge Graph Embeddings Tell Us What Fact-checked Claims Are About?

no code implementations EMNLP (insights) 2020 Valentina Beretta, Sébastien Harispe, Katarina Boland, Luke Lo Seen, Konstantin Todorov, Andon Tchechmedjiev

The web offers a wealth of discourse data that help researchers from various fields analyze debates about current societal issues and gauge the effects on society of important phenomena such as misinformation spread.

Fact Checking Knowledge Graph Embeddings +1

LSG Attention: Extrapolation of pretrained Transformers to long sequences

1 code implementation13 Oct 2022 Charles Condevaux, Sébastien Harispe

Transformer models achieve state-of-the-art performance on a wide range of NLP tasks.

Semantic Similarity from Natural Language and Ontology Analysis

no code implementations18 Apr 2017 Sébastien Harispe, Sylvie Ranwez, Stefan Janaqi, Jacky Montmain

Artificial Intelligence federates numerous scientific fields in the aim of developing machines able to assist human operators performing complex treatments -- most of which demand high cognitive skills (e. g. learning or decision processes).

Semantic Similarity Semantic Textual Similarity

Semantic Measures for the Comparison of Units of Language, Concepts or Instances from Text and Knowledge Base Analysis

no code implementations4 Oct 2013 Sébastien Harispe, Sylvie Ranwez, Stefan Janaqi, Jacky Montmain

Semantic measures are widely used today to estimate the strength of the semantic relationship between elements of various types: units of language (e. g., words, sentences, documents), concepts or even instances semantically characterized (e. g., diseases, genes, geographical locations).

Semantic Similarity Semantic Textual Similarity

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