Search Results for author: Tamer Elsayed

Found 25 papers, 8 papers with code

AraFacts: The First Large Arabic Dataset of Naturally Occurring Claims

1 code implementation EACL (WANLP) 2021 Zien Sheikh Ali, Watheq Mansour, Tamer Elsayed, Abdulaziz Al‐Ali

We introduce AraFacts, the first large Arabic dataset of naturally occurring claims collected from 5 Arabic fact-checking websites, e. g., Fatabyyano and Misbar, and covering claims since 2016.

Fact Checking

Qur’an QA 2022: Overview of The First Shared Task on Question Answering over the Holy Qur’an

no code implementations OSACT (LREC) 2022 Rana Malhas, Watheq Mansour, Tamer Elsayed

Moreover, we outline the main approaches adopted by the participating teams in the context of highlighting some of our perceptions and general trends that characterize the participating systems and their submitted runs.

Machine Reading Comprehension Question Answering

Detecting Users Prone to Spread Fake News on Arabic Twitter

1 code implementation OSACT (LREC) 2022 Zien Sheikh Ali, Abdulaziz Al-Ali, Tamer Elsayed

We construct an Arabic dataset on Twitter users, which consists of 1, 546 users, of which 541 are prone to spread fake news (based on our definition).


Graded Relevance Scoring of Written Essays with Dense Retrieval

no code implementations8 May 2024 Salam Albatarni, Sohaila Eltanbouly, Tamer Elsayed

While holistic essay scoring research is prevalent, a noticeable gap exists in scoring essays for specific quality traits.

Automated Essay Scoring Contrastive Learning +1

Can Large Language Models Automatically Score Proficiency of Written Essays?

1 code implementation10 Mar 2024 Watheq Mansour, Salam Albatarni, Sohaila Eltanbouly, Tamer Elsayed

Although several methods were proposed to address the problem of automated essay scoring (AES) in the last 50 years, there is still much to desire in terms of effectiveness.

Automated Essay Scoring Prompt Engineering

Detecting Stance of Authorities towards Rumors in Arabic Tweets: A Preliminary Study

1 code implementation14 Jan 2023 Fatima Haouari, Tamer Elsayed

We believe the task is useful to augment the sources of evidence utilized by existing rumor verification systems.

Stance Detection

Cross-lingual Transfer Learning for Check-worthy Claim Identification over Twitter

no code implementations9 Nov 2022 Maram Hasanain, Tamer Elsayed

Our results show that for some language pairs, zero-shot cross-lingual transfer is possible and can perform as good as monolingual models that are trained on the target language.

Fact Checking Misinformation +2

Catch Me If You Can: Deceiving Stance Detection and Geotagging Models to Protect Privacy of Individuals on Twitter

no code implementations23 Jul 2022 Dilara Dogan, Bahadir Altun, Muhammed Said Zengin, Mucahid Kutlu, Tamer Elsayed

Our experiments show that the performance of BERT-based models fined tuned for stance detection decreases significantly due to typos, but it is not affected by paraphrasing.

Stance Detection

Automated Fact-Checking for Assisting Human Fact-Checkers

no code implementations13 Mar 2021 Preslav Nakov, David Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino

The reporting and the analysis of current events around the globe has expanded from professional, editor-lead journalism all the way to citizen journalism.

Fact Checking

Are We Ready for this Disaster? Towards Location Mention Recognition from Crisis Tweets

no code implementations COLING 2020 Reem Suwaileh, Muhammad Imran, Tamer Elsayed, Hassan Sajjad

For example, results show that, for training a location mention recognition model, Twitter-based data is preferred over general-purpose data; and crisis-related data is preferred over general-purpose Twitter data.


ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection

no code implementations EACL (WANLP) 2021 Fatima Haouari, Maram Hasanain, Reem Suwaileh, Tamer Elsayed

In this paper we introduce ArCOV19-Rumors, an Arabic COVID-19 Twitter dataset for misinformation detection composed of tweets containing claims from 27th January till the end of April 2020.

Benchmarking Fact Checking +1

Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media

3 code implementations15 Jul 2020 Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Nikolay Babulkov, Bayan Hamdan, Alex Nikolov, Shaden Shaar, Zien Sheikh Ali

The first four tasks compose the full pipeline of claim verification in social media: Task 1 on check-worthiness estimation, Task 2 on retrieving previously fact-checked claims, Task 3 on evidence retrieval, and Task 4 on claim verification.

Claim Verification Retrieval +1

Embeddings-Based Clustering for Target Specific Stances: The Case of a Polarized Turkey

1 code implementation19 May 2020 Ammar Rashed, Mucahid Kutlu, Kareem Darwish, Tamer Elsayed, Cansin Bayrak

On June 24, 2018, Turkey conducted a highly consequential election in which the Turkish people elected their president and parliament in the first election under a new presidential system.

Clustering Sentence +2

Quick and Simple Approach for Detecting Hate Speech in Arabic Tweets

no code implementations LREC 2020 Abeer Abuzayed, Tamer Elsayed

To tackle the problem efficiently, we adopt a {``}quick and simple{''} approach by which we investigate the effectiveness of 15 classical (e. g., SVM) and neural (e. g., CNN) learning models, while exploring two different term representations.


Overview of OSACT4 Arabic Offensive Language Detection Shared Task

no code implementations LREC 2020 Hamdy Mubarak, Kareem Darwish, Walid Magdy, Tamer Elsayed, Hend Al-Khalifa

This paper provides an overview of the offensive language detection shared task at the 4th workshop on Open-Source Arabic Corpora and Processing Tools (OSACT4).

ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks

1 code implementation EACL (WANLP) 2021 Fatima Haouari, Maram Hasanain, Reem Suwaileh, Tamer Elsayed

In this paper, we present ArCOV-19, an Arabic COVID-19 Twitter dataset that spans one year, covering the period from 27th of January 2020 till 31st of January 2021.

Information Retrieval Retrieval

Embedding-based Qualitative Analysis of Polarization in Turkey

no code implementations23 Sep 2019 Mucahid Kutlu, Kareem Darwish, Cansin Bayrak, Ammar Rashed, Tamer Elsayed

During the election period, the Turkish people extensively shared their political opinions on Twitter.

Social and Information Networks

Simple But Not Na\"\ive: Fine-Grained Arabic Dialect Identification Using Only N-Grams

no code implementations WS 2019 Sohaila Eltanbouly, May Bashendy, Tamer Elsayed

This paper presents the participation of Qatar University team in MADAR shared task, which addresses the problem of sentence-level fine-grained Arabic Dialect Identification over 25 different Arabic dialects in addition to the Modern Standard Arabic.

Dialect Identification Sentence

Efficient Test Collection Construction via Active Learning

no code implementations17 Jan 2018 Md Mustafizur Rahman, Mucahid Kutlu, Tamer Elsayed, Matthew Lease

To create a new IR test collection at low cost, it is valuable to carefully select which documents merit human relevance judgments.

Active Learning

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