DisambiguatingWeb Tables Using Partial Data

NERITS (Named Entity Recognition for the Interactive Translation System) is a Web application plugged on top of various tools such as ITS-2 machine translation, Wikimeta

Using the table headers and the data in its rows and columns, we query existing knowledge bases (KBs) including Wikitology [1] and DBpedia to select the best class labels for

However, various Semantic Web resources do not only contain data about named entities and events, they also contain a bit of (mostly taxonomic) commonsense knowledge.. This knowl-

In the first case, which we call entity-by-entity linking, every mention in a text is assumed to be independent from other mentions and is linked to a candidate entity on the sole

Relational Database (DB) schemas contain structural entity descriptions (e.g., tables and columns), but also sometimes descriptions of behavioral entities such as views (i.e.,

DAGOBAH seman- tically annotates tables with Wikidata entities and relations to perform three tasks: Columns-Property Annotation (CPA), Cell-Entity Annota- tion (CEA) and

JeuxDeLiens: Word Embeddings and Path-Based Similarity for Entity Linking using the French JeuxDeMots Lexical

L’articolo descrive la nostra partecipazione al task di Named Entity rEcognition and Linking in Italian Tweets (NEEL-IT) a Evalita 2016.. Il no- stro approccio si