Semantic Scholar uses AI to extract papers important to this topic.
Evaluating semantic similarity of texts is a task that assumes paramount importance in real-world applications. In this paper, we… Expand Named Entity Disambiguation is the task of assigning entities from a Knowledge Base to mentions of such entities in a textual… Expand The ability to compare frameworks from the same domain is of central importance for their introduction into complex applications… Expand Keyphrases are single- or multi-word phrases that are used to describe the essential content of a document. Utilizing an external… Expand Keyphrases provide important semantic metadata for organizing and managing free-text documents. As data grow exponentially, there… Expand Named Entity Disambiguation NED is the task of disambiguating named entities in a natural language text by linking them to their… Expand We present DefIE, an approach to large-scale Information Extraction (IE) based on a syntactic-semantic analysis of textual… Expand The Digital Libraries community has shown over the last years a growing interest in Semantic Search technologies. Content… Expand Over the last decades, several billion Web pages have been made available on the Web. The ongoing transition from the current Web… Expand Entity Linking (EL) and Word Sense Disambiguation (WSD) both address the lexical ambiguity of language. But while the two tasks… Expand