Search Results for author: Amirreza Shirani

Found 6 papers, 2 papers with code

Learning to Emphasize: Dataset and Shared Task Models for Selecting Emphasis in Presentation Slides

no code implementations2 Jan 2021 Amirreza Shirani, Giai Tran, Hieu Trinh, Franck Dernoncourt, Nedim Lipka, Paul Asente, Jose Echevarria, Thamar Solorio

We evaluate a range of state-of-the-art models on this novel dataset by organizing a shared task and inviting multiple researchers to model emphasis in this new domain.

SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media

no code implementations SEMEVAL 2020 Amirreza Shirani, Franck Dernoncourt, Nedim Lipka, Paul Asente, Jose Echevarria, Thamar Solorio

In this paper, we present the main findings and compare the results of SemEval-2020 Task 10, Emphasis Selection for Written Text in Visual Media.

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Let Me Choose: From Verbal Context to Font Selection

2 code implementations ACL 2020 Amirreza Shirani, Franck Dernoncourt, Jose Echevarria, Paul Asente, Nedim Lipka, Thamar Solorio

In this paper, we aim to learn associations between visual attributes of fonts and the verbal context of the texts they are typically applied to.

Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspired Models

no code implementations3 May 2019 Amirreza Shirani, Bowen Xu, David Lo, Thamar Solorio, Amin Alipour

The proposed dataset Stack Overflow is a useful resource to develop novel solutions, specifically data-hungry neural network models, for the prediction of relatedness in technical community question-answering forums.

Community Question Answering Multi-class Classification

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