The linked repository contains the code along with the required corpora that were used in order to build a system that "learns" how to generate English biographies for Semantic Web triples. Two corpora are included: (i) DBpedia triples aligned with Wikipedia biographies and (ii) Wikidata triples aligned with Wikipedia biographies.</span
The associated repository contains the code and the corpora that were used in order to build a "...
Wikipedia provides a semantic network for computing semantic relatedness in a more structured fashio...
WikiWoods is an ongoing initiative to provide rich syntacto-semantic annotations for English Wikiped...
International audienceMost people need textual or visual interfaces in order to make sense of Semant...
Most people need textual or visual interfaces in order to make sense of Semantic Web data. In this p...
Most people need textual or visual interfaces in order to make sense of Semantic Web data. In this t...
While Wikipedia exists in 287 languages, its content is unevenly distributed among them. In this wor...
The Web has evolved into a huge mine of knowledge carved in different forms, the predominant one sti...
This paper describes the automatic creation of semantic networks from Wikipedia. Following Lipczak e...
Nowadays natural language generation (NLG) is used in everything from news reporting and chatbots to...
AbstractWe automatically create enormous, free and multilingual silver-standard training annotations...
In the last few months we tried to build a corpus based on the biographies of the Chinese Wikipedia....
We investigate the problem of generating natural language summaries from knowledge base triples. Our...
We investigate the problem of generating natural language summaries from knowledge base triples. Our...
We investigate the problem of generating natural language summaries from knowledge base triples. Our...
The associated repository contains the code and the corpora that were used in order to build a "...
Wikipedia provides a semantic network for computing semantic relatedness in a more structured fashio...
WikiWoods is an ongoing initiative to provide rich syntacto-semantic annotations for English Wikiped...
International audienceMost people need textual or visual interfaces in order to make sense of Semant...
Most people need textual or visual interfaces in order to make sense of Semantic Web data. In this p...
Most people need textual or visual interfaces in order to make sense of Semantic Web data. In this t...
While Wikipedia exists in 287 languages, its content is unevenly distributed among them. In this wor...
The Web has evolved into a huge mine of knowledge carved in different forms, the predominant one sti...
This paper describes the automatic creation of semantic networks from Wikipedia. Following Lipczak e...
Nowadays natural language generation (NLG) is used in everything from news reporting and chatbots to...
AbstractWe automatically create enormous, free and multilingual silver-standard training annotations...
In the last few months we tried to build a corpus based on the biographies of the Chinese Wikipedia....
We investigate the problem of generating natural language summaries from knowledge base triples. Our...
We investigate the problem of generating natural language summaries from knowledge base triples. Our...
We investigate the problem of generating natural language summaries from knowledge base triples. Our...
The associated repository contains the code and the corpora that were used in order to build a "...
Wikipedia provides a semantic network for computing semantic relatedness in a more structured fashio...
WikiWoods is an ongoing initiative to provide rich syntacto-semantic annotations for English Wikiped...
