activity
20152024
most citedContent-aware Neural Hashing for Cold-start Recommendation

29 citations · 145 across the 25 of their papers we have counts for

collaborators
Showing 2020Show all

9 papers · 1 filter

cs.CL2020

Multi-Head Self-Attention with Role-Guided Masks

Dongsheng Wang, Casper Hansen, Lucas Chaves Lima +4

The state of the art in learning meaningful semantic representations of words is the Transformer model and its attention mechanisms. Simply put, the attention mechanisms learn to a…

cs.IR20204 cited

Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19

Lucas Chaves Lima, Casper Hansen, Christian Hansen +5

This report describes the participation of two Danish universities, University of Copenhagen and Aalborg University, in the international search engine competition on COVID-19 (the…

cs.CL20201 cited

A Diagnostic Study of Explainability Techniques for Text Classification

Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma +1

Recent developments in machine learning have introduced models that approach human performance at the cost of increased architectural complexity. Efforts to make the rationales beh…

cs.CC20201 cited

Cons-free Programs and Complexity Classes between LOGSPACE and PTIME

Neil D. Jones, Siddharth Bhaskar, Cynthia Kop +1

Programming language concepts are used to give some new perspectives on a long-standing open problem: is logspace = ptime ?

cs.IR202015 cited

Unsupervised Semantic Hashing with Pairwise Reconstruction

Casper Hansen, Christian Hansen, Jakob Grue Simonsen +2

Semantic Hashing is a popular family of methods for efficient similarity search in large-scale datasets. In Semantic Hashing, documents are encoded as short binary vectors (i.e., h…

cs.HC20209 cited

Factuality Checking in News Headlines with Eye Tracking

Christian Hansen, Casper Hansen, Jakob Grue Simonsen +3

We study whether it is possible to infer if a news headline is true or false using only the movement of the human eyes when reading news headlines. Our study with 55 participants w…