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Publications

Google Scholar Semantic Scholar

* indicates equal contributions

• Human-in-the-Loop Question Answering with Natural Language Interaction
  Ahmed Elgohary
  Ph.D. Dissertation, University of Maryland, 2021.
• NL-EDIT: Correcting semantic parse errors through natural language interaction.
  Ahmed Elgohary, Christopher Meek, Matthew Richardson, Adam Fourney, Gonzalo Ramos and Ahmed Hassan Awadallah
  NAACL 2021.
• Speak to your parser: Interactive Text-to-SQL with natural language feedback.
  Ahmed Elgohary, Saghar Hosseini and Ahmed Hassan Awadallah.
  ACL 2020. Dataset   Talk
• It takes two to lie: One to lie, and one to listen.
  Denis Peskov, Benny Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil and Jordan Boyd-Graber.
  ACL 2020. Dataset and Code
• Can you unpack that? Learning to rewrite questions-in-context.
  Ahmed Elgohary, Denis Peskov, Jordan Boyd-Graber.
  EMNLP 2019. Dataset   Code   Poster
• Dataset and baselines for sequential open-domain question answering
  Ahmed Elgohary,* Chen Zhao,* Jordan Boyd-Graber.
  EMNLP 2018. Dataset   Poster
• Generating natural language adversarial examples.
  Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani Srivastava, Kai-Wei Chang.
  EMNLP 2018.
• Assessing composition in sentence vector representations.
  Allyson Ettinger, Ahmed Elgohary, Colin Phillips, Philip Resnik.
  COLING 2018.
• Construction of the literature graph in semantic scholar.
  Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey,
  Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, Rodney Kinney, Sebastian Kohlmeier,
  Kyle Lo, Tyler Murray, Hsu-Han Ooi, Matthew Peters, Joanna Power, Sam Skjonsberg, Lucy Lu Wang,
  Chris Wilhelm, Zheng Yuan, Madeleine van Zuylen, Oren Etzioni.
  NAACL 2018 (Industry track).
• Probing for semantic evidence of composition by means of simple classification tasks.
  Allyson Ettinger, Ahmed Elgohary, Philip Resnik.
  RepEval Workshop at ACL 2016. [Best Paper Award]
• Learning monolingual compositional representations via bilingual supervision.
  Ahmed Elgohary and Marine Carpuat.
  ACL 2016.
• Compressed linear algebra for large-scale machine learning.
  Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald.
  VLDB 2016. [Best Paper Award] [SIGMOD Research Highlights Award]
  [IBM Pat Goldberg Memorial Best Paper Award]
  Extended in VLDB Journal, 2018 and Communications of the ACM, 2019.
• The UMD Machine Translation Systems at IWSLT 2015
  Amittai Axelrod, Ahmed Elgohary, Marianna Martindale, Khánh Nguyễn,
  Xing Niu, Yogarshi Vyas, Marine Carpuat.
  IWSLT 2015.
• Scalable embeddings for kernel clustering on MapReduce.
  Ahmed Elgohary
  Master's Thesis, University of Waterloo, 2014.
• Embed and Conquer: Scalable embeddings for kernel k-Means on MapReduce.
  Ahmed Elgohary, Ahmed K. Farahat, Mohamed S. Kamel, Fakhri Karray.
  SDM 2014 (Acceptance rate: 15%).
• Distributed column subset selection on MapReduce.
  Ahmed K. Farahat, Ahmed Elgohary, Ali Ghodsi, Mohamed S. Kamel.
  ICDM 2013 (Acceptance rate: 11%) [Best Paper Award Runner-Up]
  Extended in Knowledge and Information Systems, 2014.
• Approximate nearest centroid embedding for kernel k-means.
  Ahmed Elgohary, Ahmed K. Farahat, Mohamed S. Kamel, Fakhri Karray. Karray.
  Big Learning Workshop at NeurIPS 2013.
• No need to war-drive: Unsupervised indoor localization
  He Wang, Souvik Sen, Ahmed Elgohary, Moustafa Farid, Moustafa Youssef, Romit Roy Choudhury.
  MobiSys 2012. (Acceptance rate: 17%).
  Extended in IEEE Transactions on Mobile Computing, 2016.
• Efficient data clustering over peer-to-peer networks.
  Ahmed Elgohary and Mohamed A. Ismail.
  International Conference on Intelligent Systems Design and Applications, 2011.
• Wiki-rec: A semantics-based recommendation system using wikipedia as an ontology.
  Ahmed Elgohary,* Hussein Nomir,* Ibrahim Sabek,* Mohamed Samir,* Moustafa Badawy,* Noha A. Yoursi.
  International Conference on Intelligent Systems Design and Applications, 2010.