The assessment of semantic relatedness for a given pair of entities in a knowledge graph has become a critical step in a wide variety of artificial intelligence tasks, including but not restricted to fields such as machine learning, natural language processing, and information retrieval. Semantic relatedness is a generalisation of semantic similarity; entities are semantically assessed by virtue of their relationships in the knowledge graph rather than by their inherent similarity. Semantic relatedness measures have been widely addressed in the research literature, producing a wide range of relatedness functions. These functions require to enumerate paths between entities, using a simple and yet powerful intuition: the more the number o...
The contents and structure of semantic memory have been the focus of much recent research, with majo...
Cramer I, Wandmacher T, Waltinger U. Exploring Resources for Lexical Chaining: A Comparison of Autom...
Determining semantic relatedness between words or concepts is a fundamental process to many Natural ...
Many systems for tasks such as question answering, multi-document summarization, and information ret...
Many text mining tasks, such as clustering, classification, retrieval, and named entity linking, ben...
Semantic relatedness is a critical measure for a wide variety of applications nowadays. Numerous mod...
International audienceThe extraction and the disambiguation of knowledge guided by textual resources...
Semantic relatedness and disambiguation are fundamental problems for linking text documents to the ...
AbstractWe propose a method for computing semantic relatedness between words or texts by using knowl...
Semantic relatedness between words has been extracted from a variety of sources.In this ongoing work...
Introducing a new dataset with human judgments of entity relatedness, we present a thorough study of...
Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance...
International audienceCollective entity linking is a core natural language processing task, which co...
Abstract. We propose a novel graph metric for semantic entity-relationship networks for solving two ...
Large Knowledge Graphs (KGs), e.g., DBpedia or Wikidata, are created with the goal of providing stru...
The contents and structure of semantic memory have been the focus of much recent research, with majo...
Cramer I, Wandmacher T, Waltinger U. Exploring Resources for Lexical Chaining: A Comparison of Autom...
Determining semantic relatedness between words or concepts is a fundamental process to many Natural ...
Many systems for tasks such as question answering, multi-document summarization, and information ret...
Many text mining tasks, such as clustering, classification, retrieval, and named entity linking, ben...
Semantic relatedness is a critical measure for a wide variety of applications nowadays. Numerous mod...
International audienceThe extraction and the disambiguation of knowledge guided by textual resources...
Semantic relatedness and disambiguation are fundamental problems for linking text documents to the ...
AbstractWe propose a method for computing semantic relatedness between words or texts by using knowl...
Semantic relatedness between words has been extracted from a variety of sources.In this ongoing work...
Introducing a new dataset with human judgments of entity relatedness, we present a thorough study of...
Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance...
International audienceCollective entity linking is a core natural language processing task, which co...
Abstract. We propose a novel graph metric for semantic entity-relationship networks for solving two ...
Large Knowledge Graphs (KGs), e.g., DBpedia or Wikidata, are created with the goal of providing stru...
The contents and structure of semantic memory have been the focus of much recent research, with majo...
Cramer I, Wandmacher T, Waltinger U. Exploring Resources for Lexical Chaining: A Comparison of Autom...
Determining semantic relatedness between words or concepts is a fundamental process to many Natural ...