Search Results for author: Amir Soleimani

Found 7 papers, 5 papers with code

NLQuAD: A Non-Factoid Long Question Answering Data Set

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.

Descriptive Position +2

Longformer for MS MARCO Document Re-ranking Task

1 code implementation20 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.

Document Ranking Information Retrieval +2

BERT for Evidence Retrieval and Claim Verification

2 code implementations7 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.

Claim Verification Retrieval

Convolutional Neural Networks for Aerial Vehicle Detection and Recognition

no code implementations26 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.

Convolutional Neural Networks for Aerial Multi-Label Pedestrian Detection

no code implementations16 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.

Action Detection Object +2

UTSig: A Persian Offline Signature Dataset

1 code implementation10 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.

Cultural Vocal Bursts Intensity Prediction

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