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Dexter: an Open Source Framework for Entity Linking
| Content Provider | CiteSeerX |
|---|---|
| Author | Ceccarelli, Diego Lucca, Imt Lucchese, Claudio Perego, Raffaele Orlando, Salvatore Trani, Salvatore |
| Abstract | We introduce Dexter, an open source framework for entity linking. The entity linking task aims at identifying all the small text fragments in a document referring to an entity contained in a given knowledge base, e.g., Wikipedia. The annotation is usually organized in three tasks. Given an in-put document the first task consists in discovering the frag-ments that could refer to an entity. Since a mention could refer to multiple entities, it is necessary to perform a disam-biguation step, where the correct entity is selected among the candidates. Finally, discovered entities are ranked by some measure of relevance. Many entity linking algorithms have been proposed, but unfortunately only a few authors have released the source code or some APIs. As a result, evaluating today the performance of a method on a single subtask, or comparing different techniques is difficult. In this work we present a new open framework, called Dexter, which implements some popular algorithms and provides all the tools needed to develop any entity linking technique. We believe that a shared framework is fundamental to perform fair comparisons and improve the state of the art. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Open Source Framework Entity Linking Source Code Disam-biguation Step Many Entity Single Subtask Knowledge Base First Task Popular Algorithm In-put Document New Open Framework Correct Entity Different Technique Task Aim Small Text Fragment Fair Comparison |
| Content Type | Text |
