Computer Science & Engineering: Recent submissions

Now showing items 21-40 of 2402

    • Real, Live, and Concise: Answering Open-Domain Questions with Word Embedding and Summarization 

      Malhas, Rana; Torki, Marwan; Ali, Rahma; Yulianti, Evi; Elsayed, Tamer ( National Institute of Standards and Technology (NIST) , 2016 , Conference Paper)
      Resorting to community question answering (CQA) websites for finding answers has gained momentum in the recent years with the explosive rate at which social media has been proliferating. With many questions left unanswered ...

    • Improving tweet timeline generation by predicting optimal retrieval depth 

      Hasanain, Maram; Elsayed, Tamer; Magdy, Walid ( Springer Verlag , 2015 , Conference Paper)
      Tweet Timeline Generation (TTG) systems provide users with informative and concise summaries of topics, as they developed over time, in a retrospective manner. In order to produce a tweet timeline that constitutes a summary ...

    • QU at TREC-2014: Online Clustering with Temporal and Topical Expansion for Tweet Timeline Generation 

      Hasanain, Maram; Elsayed, Tamer ( National Institute of Standards and Technology (NIST) , 2014 , Conference Paper)
      In this work, we present our participation in the microblog track in TREC-2014, building upon our first participation last year. We present our approaches for the two tasks of this year: temporally-anchored ad-hoc search ...

    • Identification of answer-seeking questions in Arabic microblogs 

      Hasanain, Maram; Elsayed, Tamer; Magdy, Walid ( Association for Computing Machinery , 2014 , Conference Paper)
      Over the past years, Twitter has earned a growing reputation as a hub for communication, and events advertisement and tracking. However, several recent research studies have shown that Twitter users (and microblogging ...

    • Adaptive method for following dynamic topics on twitter 

      Magdy, Walid; Elsayed, Tamer ( The AAAI Press , 2014 , Conference Paper)
      Many research social studies of public response on social media require following (i.e., tracking) topics on Twitter for long periods of time. The current approaches rely on streaming tweets based on some hashtags or ...

    • QU at TREC-2013: Expansion Experiments for Microblog Ad hoc Search 

      Maram Hasanain; Latifa Al-Marri; Elsayed, Tamer ( National Institute of Standards and Technology (NIST) , 2013 , Conference Paper)
      In the first appearance of Qatar University (QU) at Text REtrieval Conference (TREC), our submitted microblog runs explored different ways of expanding the context of both queries and tweets to overcome the sparsity and ...

    • Query performance prediction for microblog search: A preliminary study 

      Hasanain, Maram; Malhas, Rana; Elsayed, Tamer ( Association for Computing Machinery, Inc , 2014 , Conference Paper)
      Microblogging has recently become an integral part of the daily life of millions of people around the world. With a continuous flood of posts, microblogging services (e.g., Twitter) have to effectively handle millions of ...

    • Detecting automatically-generated Arabic tweets 

      Almerekhi, Hind; Elsayed, Tamer ( Springer Verlag , 2015 , Conference Paper)
      Recently, Twitter, one of the most widely-known social media platforms, got infiltrated by several automation programs, commonly known as "bots". Bots can be easily abused to spread spam and hinder information extraction ...

    • QweetFinder: Real-time finding and filtering of question tweets 

      Albahem, Ameer; Hasanain, Maram; Torki, Marwan; Elsayed, Tamer ( Springer Verlag , 2017 , Conference Paper)
      Users continuously ask questions and seek answers in social media platforms such as Twitter. In this demo, we present Qweet-Finder, a Web-based search engine that facilitates finding question tweets (Qweets) in Twitter. ...

    • The CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News 

      Nakov, Preslav; Da San Martino, Giovanni; Elsayed, Tamer; Barrón-Cedeño, Alberto; Míguez, Rubén; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)
      We describe the fourth edition of the CheckThat! Lab, part of the 2021 Cross-Language Evaluation Forum (CLEF). The lab evaluates technology supporting various tasks related to factuality, and it is offered in Arabic, ...

    • HBKU at TREC 2020: Conversational Multi-Stage Retrieval with Pseudo-Relevance Feedback 

      Al-Thani, Haya; Jansen, Bernard J.; Elsayed, Tamer ( National Institute of Standards and Technology (NIST) , 2020 , Conference Paper)
      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? 

      Al-Rasbi, Sara; Elsayed, Tamer ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      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 ...

    • bigIR at TREC 2019: Graph-based Analysis for News Background Linking 

      Essam, Marwa; Elsayed, Tamer ( National Institute of Standards and Technology (NIST) , 2019 , Conference Paper)
      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 ...

    • Why is That a Background Article: A Qualitative Analysis of Relevance for News Background Linking 

      Essam, Marwa; Elsayed, Tamer ( Association for Computing Machinery , 2020 , Conference Paper)
      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 ...

    • QU-BIGIR at SemEval 2017 Task 3: Using Similarity Features for Arabic Community Question Answering Forums 

      Torki, Marwan; Hasanain, Maram; Elsayed, Tamer ( Association for Computational Linguistics (ACL) , 2017 , Conference Paper)
      In this paper, we describe our QU-BIGIR system for the Arabic subtask D of the SemEval 2017 Task 3. Our approach builds on our participation in the past version of the same subtask. This year, our system uses different ...

    • bigIR at TREC 2020: Simple but Deep Retrieval of Passages and Documents 

      Haouari, Fatima; Marwa Essam; Elsayed, Tamer ( National Institute of Standards and Technology (NIST) , 2020 , Conference Paper)
      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 

      Eltanbouly, Sohaila; Bashendy, May; Elsayed, Tamer ( Association for Computational Linguistics (ACL) , 2019 , Conference Paper)
      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 

      Hasanain, Maram; Elsayed, Tamer ( CEUR-WS , 2020 , Conference Paper)
      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 ...

    • Finding the Best of Both Worlds: Faster and More Robust Top-k Document Retrieval 

      Khattab, Omar; Hammoud, Mohammad; Elsayed, Tamer ( Association for Computing Machinery, Inc , 2020 , Conference Paper)
      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 

      Malhas, Rana; Elsayed, Tamer ( 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 ...