College of Engineering: Recent submissions
Now showing items 361-380 of 8761
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Who can verify this? Finding authorities for rumor verification in Twitter
( Elsevier , 2023 , Article)A large body of research work has proposed verification techniques for rumors spreading in social media that mainly relied on subjective evidence, e.g., propagation networks or user interactions. Alternatively, in this ... -
ECAsT: a large dataset for conversational search and an evaluation of metric robustness
( PeerJ Inc. , 2023 , Article)The Text REtrieval Conference Conversational assistance track (CAsT) is an annual conversational passage retrieval challenge to create a large-scale open-domain conversational search benchmarking. However, as of yet, the ... -
Unsupervised query reduction for efficient yet effective news background linking
( PeerJ Inc. , 2023 , Article)In this article, we study efficient techniques to tackle the news background linking problem, in which an online reader seeks background knowledge about a given article to better understand its context. Recently, this ... -
Improving conversational search with query reformulation using selective contextual history
( Elsevier , 2023 , Article)Automated responses to questions for conversational agents, known as conversation passage retrieval, is challenging due to omissions and implied context in user queries. To help address this challenge, queries can be ... -
Qur'an QA 2023 Shared Task: Overview of Passage Retrieval and Reading Comprehension Tasks over the Holy Qur'an
( Association for Computational Linguistics (ACL) , 2023 , Conference)Motivated by the need for intelligent question answering (QA) systems on the Holy Qur'an and the success of the first Qur'an Question Answering shared task (Qur'an QA 2022 at OSACT 2022), we have organized the second version ... -
IDRISI-D: Arabic and English Datasets and Benchmarks for Location Mention Disambiguation over Disaster Microblogs
( Association for Computational Linguistics (ACL) , 2023 , Conference)Extracting and disambiguating geolocation information from social media data enables effective disaster management, as it helps response authorities; for example, locating incidents for planning rescue activities and ... -
Overview of the CLEF-2023 CheckThat! Lab Task 5 on Authority Finding in Twitter
( CEUR-WS , 2023 , Conference)We present an overview of Task 5 of the sixth edition of the CheckThat! Lab, which is a part of the 2023 Conference and Labs of the Evaluation Forum (CLEF). In this Authority Finding task, participating systems are required ... -
The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority
( Springer Science and Business Media Deutschland GmbH , 2023 , Conference)The five editions of the CheckThat! lab so far have focused on the main tasks of the information verification pipeline: check-worthiness, evidence retrieval and pairing, and verification. The 2023 edition of the lab zooms ... -
Detecting Stance of Authorities Towards Rumors in Arabic Tweets: A Preliminary Study
( Springer Science and Business Media Deutschland GmbH , 2023 , Conference)A myriad of studies addressed the problem of rumor verification in Twitter by either utilizing evidence from the propagation networks or external evidence from the Web. However, none of these studies exploited evidence ... -
Finding the Best of Both Worlds: Faster and More Robust Top-k Document Retrieval
( Association for Computing Machinery, Inc , 2020 , Conference)Many top-k document retrieval strategies have been proposed based on the WAND and MaxScore heuristics and yet, from recent work, it is surprisingly difficult to identify the "fastest" strategy. This becomes even more ... -
AyaTEC: Building a Reusable Verse-Based Test Collection for Arabic Question Answering on the Holy Qur'an
( Association for Computing Machinery , 2020 , Article)The absence of publicly available reusable test collections for Arabic question answering on the Holy Qur'an has impeded the possibility of fairly comparing the performance of systems in that domain. In this article, we ... -
HBKU at TREC 2020: Conversational Multi-Stage Retrieval with Pseudo-Relevance Feedback
( National Institute of Standards and Technology (NIST) , 2020 , Conference)Passage retrieval in a conversational context is extremely challenging due to limited data resources. Information seeking in a conversational setting may contain omissions, implied context, and topic shifts. TREC CAsT ... -
Can We Build a Search Engine over Spark?
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)Search engines have to deal with a huge amount of data in scalable and efficient ways to produce effective search results. In this paper, we address the problem of building an efficient and scalable experimental search ... -
Why is That a Background Article: A Qualitative Analysis of Relevance for News Background Linking
( Association for Computing Machinery , 2020 , Conference)News background linking is the problem of finding online resources that can provide valuable context and background information to help the reader comprehend a given news article. While the problem has recently attracted ... -
bigIR at TREC 2019: Graph-based Analysis for News Background Linking
( National Institute of Standards and Technology (NIST) , 2019 , Conference)Nowadays, it is very rare to find an online news article that is self-contained with everything a reader would want to know about the article's story. Therefore, it became vital for any article to contain links to other ... -
bigIR at TREC 2020: Simple but Deep Retrieval of Passages and Documents
( National Institute of Standards and Technology (NIST) , 2020 , Conference)In this paper, we present the participation of the bigIR team at Qatar University in the TREC Deep Learning 2020 track. We participated in both document and passage retrieval tasks, and each of its subtasks, full ranking ... -
Simple but not naive: Fine-grained arabic dialect identification using only n-grams
( Association for Computational Linguistics (ACL) , 2019 , Conference)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 ... -
bigIR at CheckThat! 2020: Multilingual BERT for Ranking Arabic Tweets by Check-worthiness
( CEUR-WS , 2020 , Conference)This paper describes the third-year participation of our bigIR group at Qatar University in CheckThat! lab at CLEF. This year we participated only in Arabic Task 1 that focuses on detecting check-worthy tweets on a given ... -
Improved pediatric ICU mortality prediction for respiratory diseases: machine learning and data subdivision insights
( BioMed Central Ltd , 2024 , Article)The growing concern of pediatric mortality demands heightened preparedness in clinical settings, especially within intensive care units (ICUs). As respiratory-related admissions account for a substantial portion of pediatric ... -
Quantifying Empathy in Virtual Reality: An Outline
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2020 , Conference)The purpose of this paper is to provide an outline of the research undertaken hitherto on quantifying empathy in virtual reality (VR). In this paper we have discussed various methodologies used for testing the impact on ...
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