Abstract. Retrieving finer grained text units such as passages or sentences as answers for non-factoid Web queries is becoming increasingly important for applications such as mobi...
Liu Yang, Qingyao Ai, Damiano Spina, Ruey-Cheng Ch...
Abstract. Although relevance is known to be a multidimensional concept, information retrieval measures mainly consider one dimension of relevance: topicality. In this paper we prop...
Online learning to rank methods aim to optimize ranking models based on user interactions. The dueling bandit gradient descent (DBGD) algorithm is able to effectively optimize line...
Consumer reviews provide a wealth of information about products and services that, if properly identified and extracted, could be of immense value to businesses. While classifica...
Mehedi Hasan, Alexander Kotov, Aravind Mohan, Shiy...
Abstract. We present a dataset for learning to rank in the medical domain, consisting of thousands of full-text queries that are linked to thousands of research articles. The queri...
Vera Boteva, Demian Gholipour, Artem Sokolov, Stef...