activity
20152017
most citedDeep Learning Relevance: Creating Relevant Information (as Opposed to Retrieving it)

5 citations · 14 across the 5 of their papers we have counts for

collaborators

7 papers

cs.LO2017

Higher-order Cons-free Interpreters

Cynthia Kop, Jakob Grue Simonsen

Constructor rewriting systems are said to be cons-free if any constructor term occurring in the rhs of a rule must be a subterm of the lhs of the rule. Roughly, such systems cannot…

cs.IR2017

Evaluation Measures for Relevance and Credibility in Ranked Lists

Christina Lioma, Jakob Grue Simonsen, Birger Larsen

Recent discussions on alternative facts, fake news, and post truth politics have motivated research on creating technologies that allow people not only to access information, but a…

cs.CC20172 cited

The Power of Non-Determinism in Higher-Order Implicit Complexity

Cynthia Kop, Jakob Grue Simonsen

We investigate the power of non-determinism in purely functional programming languages with higher-order types. Specifically, we consider cons-free programs of varying data orders,…

cs.IR20165 cited

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…

cs.CC2016

Complexity Hierarchies and Higher-Order Cons-Free Rewriting

Cynthia Kop, Jakob Grue Simonsen

Constructor rewriting systems are said to be cons-free if, roughly, constructor terms in the right-hand sides of rules are subterms of constructor terms in the left-hand side; the…

cs.NE20154 cited

A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion

Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi +3

Users may strive to formulate an adequate textual query for their information need. Search engines assist the users by presenting query suggestions. To preserve the original search…