Recent Advances in Natural Language Processing V

We consider the list completion task, an entity retrieval task where, in return to a topic statement and a number of example entities, systems have to return further examples. For this task, we propose and evaluate several algorithms. One of the core challenges is to overcome the very limited amount of information that serves as input --- to address this challenge we explore different representations of list descriptions. For evaluation purposes we make use of the lists and categories available in Wikipedia. Experimental results show that cluster-based contexts improve retrieval results.