1 code implementation • BioNLP (ACL) 2022 • Amir Soleimani, Vassilina Nikoulina, Benoit Favre, Salah Ait Mokhtar
We study the zero-shot setting for the aspect-based scientific document summarization task.
1 code implementation • EACL 2021 • Amir Soleimani, Christof Monz, Marcel Worring
We introduce NLQuAD, the first data set with baseline methods for non-factoid long question answering, a task requiring document-level language understanding.
1 code implementation • 20 Sep 2020 • Ivan Sekulić, Amir Soleimani, Mohammad Aliannejadi, Fabio Crestani
Two step document ranking, where the initial retrieval is done by a classical information retrieval method, followed by neural re-ranking model, is the new standard.
2 code implementations • 7 Oct 2019 • Amir Soleimani, Christof Monz, Marcel Worring
Motivated by the promising performance of pre-trained language models, we investigate BERT in an evidence retrieval and claim verification pipeline for the FEVER fact extraction and verification challenge.
no code implementations • 26 Aug 2018 • Amir Soleimani, Nasser M. Nasrabadi, Elias Griffith, Jason Ralph, Simon Maskell
This paper investigates the problem of aerial vehicle recognition using a text-guided deep convolutional neural network classifier.
no code implementations • 16 Jul 2018 • Amir Soleimani, Nasser M. Nasrabadi
The low resolution of objects of interest in aerial images makes pedestrian detection and action detection extremely challenging tasks.
1 code implementation • 10 Mar 2016 • Amir Soleimani, Kazim Fouladi, Babak N. Araabi
This paper introduces a new and public Persian offline signature dataset, UTSig, that consists of 8280 images from 115 classes.