217 citations · 381 across the 17 of their papers we have counts for
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A Study of Factuality, Objectivity and Relevance: Three Desiderata in Large-Scale Information Retrieval?
Christina Lioma, Birger Larsen, Wei Lu +1
Much of the information processed by Information Retrieval (IR) systems is unreliable, biased, and generally untrustworthy [1], [2], [3]. Yet, factuality & objectivity detection is…
Exploiting the Bipartite Structure of Entity Grids for Document Coherence and Retrieval
Christina Lioma, Fabien Tarissan, Jakob Grue Simonsen +2
Document coherence describes how much sense text makes in terms of its logical organisation and discourse flow. Even though coherence is a relatively difficult notion to quantify p…
Deep Learning Relevance: Creating Relevant Information (as Opposed to Retrieving it)
Christina Lioma, Birger Larsen, Casper Petersen +1
What if Information Retrieval (IR) systems did not just retrieve relevant information that is stored in their indices, but could also "understand" it and synthesise it into a singl…