Hannaneh Hajishirzi

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  • 2020
    • An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
      Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer
      EMNLP 2020
      [paper][code]

    • Fact or Fiction: Verifying Scientific Claims
      David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi
      EMNLP 2020
      [paper][code<\/a>]

    • AmbigQA: Answering Ambiguous Open-domain Questions
      Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer
      EMNLP 2020
      [paper][code]

    • Dataset Cartography:Mapping and Diagnosing Datasets with Training Dynamics
      Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith and Yejin Choi
      EMNLP 2020
      [paper][code]

    • X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
      Jaemin Cho, Jiasen Li, Hannaneh Hajishirzi, Ani Kembhavi
      EMNLP 2020
      [paper][code]

    • IIRC: A Dataset of Incomplete Information\\Reading Comprehension Questions
      James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi
      EMNLP 2020
      [paper][code]

    • UnifiedQA: Crossing Format Boundaries With a Single QA System
      Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi
      Findings of EMNLP 2020
      [paper][code]

    • Evaluating NLP models via contrast sets
      Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou
      Findings of EMNLP 2020
      [paper][code<\/a>]

    • MedICaT: A Dataset of Medical Images, Captions, and Textual References
      Sanjay Subramanian, Lucy Lu Wang, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
      Findings of EMNLP 2020
      [paper][code<\/a>]

    • Logic-Guided Data Augmentation and Regularization for Consistent Question Answering
      Akari Asai and Hannaneh Hajishirzi
      ACL 2020
      [paper][code]

    • ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages
      Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi
      ACL 2020
      [paper]

    • SciREX: A Challenge Dataset for Document-Level Information Extraction
      Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi, Iz Beltagy
      ACL 2020
      [dataset: SciREX]Code] [paper]

    • Contextualized Sparse Representation with Rectified N-Gram Attention for Open-Domain Question Answering
      Jinhyuk Lee, Minjoon Seo, Hannaneh Hajishirzi, Jaewoo Kang
      ACL 2020
      [Code: SPARC] [paper]

    • Procedural Reading Comprehension with Attribute-Aware Context Flow
      Aida Amini, Antoine Bosselut, Bhavana Dalvi Mishra, Yejin Choi, Hannaneh Hajishirzi
      AKBC 2020
      Best paper honorable mention
      [paper]

    • DeFINE: DEep Factorized INput Token Embeddings for Neural Sequence Modeling
      Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi
      ICLR 2020
      [paper]

    • Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
      Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong
      ICLR 2020
      [code][paper]

  • 2019
    • Entity, Relation, and Event Extraction with Contextualized Span Representations
      David Wadden, Ulme Wennberg, Yi Luan and Hannaneh Hajishirzi
      Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
      [Code: DyGIE++] [paper]

    • Mixture Content Selection for Diverse Sequence Generation
      Jaemin Cho, Minjoon Seo and Hannaneh Hajishirzi
      Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
      [Code] [paper]

    • A Discrete Hard EM Approach for Weakly Supervised Question Answering
      Sewon Min, Danqi Chen, Hannaneh Hajishirzi and Luke Zettlemoyer
      Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
      [Code] [paper]

    • On making reading comprehension more comprehensive
      Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min
      Machine Reading and Question Aanswering Workshop (MRQA), 2019
      [paper]

    • Question Answering is a Format; When is it Useful?
      Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min
      Arxiv preprint
      [paper]

    • Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index
      Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi
      Proceedings of Association for Computational Linguistics (ACL), 2019.
      [Demo] [paper]

    • Multi-hop Reading Comprehension through Question Decomposition and Rescoring
      Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi
      Proceedings of Association for Computational Linguistics (ACL), 2019.
      [Code] [paper]

    • Compositional Questions Do Not Necessitate Multi-hop Reasoning
      Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer
      Proceedings of Association for Computational Linguistics (ACL), 2019.
      [Code] [paper]

    • A General Framework for Information Extraction using Dynamic Span Graphs
      Yi Luan, David Wadden, Amy Shah, Mari Ostendorf, and Hannaneh Hajishirzi
      in Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019.
      [Code] [paper]

    • Text Generation from Knowledge Graphs with Graph Transformers
      Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, Hannaneh Hajishirzi
      in Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019.
      [Code] [paper]

    • MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms
      Aida Amini, Saadia Gabriel, Shanchuan Lin, Rik Koncel-Kedziorski, Yejin Choi and Hannaneh Hajishirzi
      in Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019.
      [Code] [paper]

    • ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
      Sachin Mehta, Mohammad Rastegari, Linda Shapiro and Hannaneh Hajishirzi
      in Proceedings of the Computer Vision and Pattern Recognition (CVPR), 2019.
      [Code] [paper]

  • 2018
    • Pyramidal Recurrent Unit for Language Modeling
      Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, and Hannaneh Hajishirzi
      in Proceedings of the Epirical Methods in Natural Langauge Processing (EMNLP), 2018.
      [Code] [paper]

    • Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction
      Yi Luan, Luheng He, Mari Ostendorf, and Hannaneh Hajishirzi
      in Proceedings of the Epirical Methods in Natural Langauge Processing (EMNLP), 2018.
      [Dataset and code] [paper]

    • Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension
      Minjoon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, and Hannaneh Hajishirzi
      in Proceedings of the Epirical Methods in Natural Langauge Processing (EMNLP), 2018.
      [PiQA Task] [paper]

    • ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
      Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda Shapiro, and Hannaneh Hajishirzi
      in Proceedings of the European Conference in Computer Vision (ECCV), 2018.
      [paper] [Code]

    • Semi-Supervised Event Extraction with Paraphrase Clusters
      James Ferguson, Colin Lockard, Daniel S. Weld, and Hannaneh Hajishirzi
      in Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2018.
      [paper] [Code][Data]

    • UW system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings
      Yi Luan, Mari Ostendorf, and Hannaneh Hajishirzi
      in Proceedings of SemEval, 2018.
      [paper]

    • Neural Speed Reading via Skim-RNN
      Sewon Min, Minjoon Seo, Ali Farhadi, and Hannaneh Hajishirzi
      in Proceedings of the International Conference on Representation Learning (ICLR), 2018.
      [paper] [Code]

  • 2017
    • Scientific Information Extraction with Semi-supervised Neural Tagging
      Yi Luan, Mari Ostendorf, and Hannaneh Hajishirzi
      in Proceedings of the Epirical Methods in Natural Langauge Processing (EMNLP), 2017.
      [paper] [Code]

    • Bidirectional Attention Flow for Machine Comprehension
      Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi
      in Proceedings of the International Conference on Representation Learning (ICLR), 2017.
      [paper] [Code] [Website][Demo]

    • Question Answering through Transfer Learning from Large Fine-grained Supervision Data
      Sewon Min, Minjoon Seo, Hannaneh Hajishirzi
      in Proceedings of the Associations for Computational Linguistics (ACL), 2017.
      [paper] [Code]

    • University of Washington TAC-KBP 2016 System Description
      James Ferguson, Colin Lockard, Natalie Hawkins, Stephen Soderland, Hannaneh Hajishirzi, and Daniel S. Weld
      in Proceedings of TAC-KBP, 2017.
      [paper] [Code]

    • Query-Reduction Networks for Question Answering
      Minjoon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi
      in Proceedings of the International Conference on Representation Learning (ICLR), 2017.
      [paper] [Code]

    • Are You Smarter Than A Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension
      Aniruddha Kembhavi, Minjoon Seo, Eric Klove, Dustin Schwenk, Hannaneh Hajishirzi, Ali Farhadi
      in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2017.
      [paper] [Data]

  • 2016
    • A Theme-Rewriting Approach for Generating Algebra Word Problems
      Rik Koncel-Kedziorski, Ioannis Konstas, Luke Zettlemoyer, and Hannaneh Hajishirzi
      in Proceedings of the Emprical Methods in Natural Language Processing (EMNLP), 2016
      [paper] [Code and data]


    • A Diagram is Worth a Dozen Images
      Aniruddha Kembhavi, Mike Salvato, Eric Kolve, Minjoon Seo, Hannaneh Hajishirzi, and Ali Farhadi
      in Proceedings of the European Conference in Computer Vision (ECCV), 2016
      [paper] [Data]


    • Learning Prototypical Event Structure from Photo Albums
      Antoine Bosselut, Jianfu Chen, David Warren, Hannaneh Hajishirzi, and Yejin Choi
      in Proceedings of the Association for Computational Linguistics (ACL), 2016
      [paper] [project website] [Data]


    • Multiplicative Representations for Unsupervised Semantic Role Induction
      Yi Luan, Yangfeng Ji, Hannaneh Hajishirzi, and Boyang Li
      in Proceedings of the Association for Computational Linguistics (ACL), 2016
      [paper]


    • Disfluency Detection using a Bidirectional LSTM
      Vicky Zayats, Mari Ostendorf and Hannaneh Hajishirzi
      in Proceedings of the Interspeech, 2016
      [paper]


    • MAWPS: A Math Word Problem Repository
      Rik Koncel-Kedziorski, Subhro Roy, Aida Amini, Nate Kushman and Hannaneh Hajishirzi
      in Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016
      [paper]


    • A Task-Oriented Approach for Cost-sensitive Recognition
      Roozbeh Mottaghi, Hannaneh Hajishirzi, and Ali Farhadi
      in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2016
      [paper]


    • Parsing Algebraic Word Problems into Equations
      Rik Koncel-Kedziorski, Hannaneh Hajishirzi, Ashish Sabharwal, Oren Etzioni, and Siena Dumas Ang
      in Transactions of the Association for Computational Linguistics (TACL), 2016
      [paper]


    • Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects
      Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, and Ali Farhadi
      in Proceedings of the Conference in Artificial Intelligence (AAAI), 2016
      [paper]


  • 2015
    • Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing
      Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala, Hannaneh Hajishirzi, Yejin Choi, and Ali Farhadi
      in Proceedings of International Conference on Computer Vision (ICCV), 2015
      [paper]


    • Solving Geometry Problems: Combining Text and Diagram Interpretation
      Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni, and Clint Malcolm
      in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015
      [paper]


    • Talking to the crowd: What do people react to in online discussions?
      Aaron Jaech, Vicky Zayats, Hao Fang, Mari Ostendorf, and Hannaneh Hajishirzi
      in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015
      [paper]


    • Discriminative and Consistent Similarities in Instance-Level Multiple Instance Learning
      Mohammad Rastegardi, Hannaneh Hajishirzi, and Ali Farhadi
      in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2015
      [paper]


    • Learning Knowledge Graphs for Question Answering through Conversational Dialog
      Ben Hixon, Peter Clark, and Hannaneh Hajishirzi
      in Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL HLT), 2015
      [paper][slides][Code and data]


    • Aligning Sentences from Standard Wikipedia to Simple Wikipedia
      William Hwang, Hannaneh Hajishirzi, Mari Ostendorf, and Wei Wu
      in Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL HLT), 2015
      [paper][slides][Code and data]


    • Unediting: Detecting Disfluencies Without Careful Transcripts
      Victoria Zayats, Mari Ostendorf, and Hannaneh Hajishirzi
      in Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL HLT), 2015
      [paper][slides][Code and data]


  • 2014
    • Multi Resolution Language Grounding with Weak Supervision
      Rik Koncel Kedziorski, Hannaneh Hajishirzi, and Ali Farhadi
      in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'14), 2014.
      [paper][slides][Code and data]


    • Learning to Solve Arithmetic Word Problems with Verb Categorization
      Mohammad Javad Hosseini, Hannaneh Hajishirzi, Oren Etzioni, and Nate Kushman
      in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'14), 2014.
      [paper][slides][code and data]


    • Multi-Domain Disfluency and Repair Detection
      Victoria Zayats, Mari Ostendorf, and Hannaneh Hajishirzi
      in Proceedings of Interspeech (Interspeech'14), 2014.
      [paper][slides][data]


    • Diagram Understanding in Geometry Questions
      Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi, and Oren Etzioni
      in Proceedings of the Conference in Artificial Intelligence (AAAI'14), 2014.


  • 2013
    • Joint Coreference Resolution and Named-Entity Linking with Multi-pass Sieves
      Hannaneh Hajishirzi, Leila Zilles, Daniel S. Weld, and Luke Zettlemoyer
      in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'13), 2013.
      [paper][slides][code and data]


    • Managing Chaos: Models of Turn-taking in Character-multichild Interactions
      Iolanda Leite, Hannaneh Hajishirzi, Sean Andrist, and Jill F. Lehman
      in Proceedings of the International Conference on Multimodal Interactions (ICMI'13), 2013.
      [paper]


    • Take or Wait? Learning Turn-Taking from Multiparty Data
      Iolanda Leite, Hannaneh Hajishirzi, Sean Andrist, and Jill F. Lehman
      in Late Breaking Report section of National Conference on Artificial Intelligence (AAAI'13), 2013.
      [paper]


  • 2012
    • Semantic Understanding of Proefessional Soccer Commentaries
      Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, and Jessica Hodgins
      in Proceedings of 28th conference on Uncertainty in Artificial Intelligence (UAI'12), 2012.
      [paper][slides][data][press]


    • Using Group History to Identify Character-directed Utterances in Multi-child Interactions
      Hannaneh Hajishirzi, Jill F. Lehman, and Jessica Hodgins
      in Proceedings of 13th SIGdial conference on Discourse and Dialogue (SIGDIAL'12), 2012.
      Best paper award
      [paper][slides][patent]


    • Question Answering in Natural Language Narratives Using Symbolic Probabilistic Reasoning
      Hannaneh Hajishirzi and Erik T. Mueller
      in Proceedings of 25th Florida Conference on Artificial Intelligence (FLAIRS'12), 2012.
      [paper][slides]


    • Recognizing Character-directed Utterances in Multi-child Interactions
      Hannaneh Hajishirzi, Jill Lehman, Kenichi Kumatani, Leonid Segal, and Jessica Hodgins
      in late-breaking report section of Human Robot Interaction (HRI'12), 2012.
      [paper]


  • 2011
    • Action-centered Reasoning for Probabilistic Dynamic Systems
      Hannaneh Hajishirzi
      PhD Thesis, University of Illinois at Urbana-Champaign, 2011.


    • Reasoning in Robocup Soccer Narratives
      Hannaneh Hajishirzi, Julia Hockenmaier, Erik T. Mueller, and Eyal Amir
      in Proceedings of 27th Conference on Uncertainty in Artificial Intelligence (UAI'11), 2011.
      [paper][slides]


    • Symbolic Probabilistic Reasoning for Narratives
      Hannaneh Hajishirzi and Erik T. Mueller
      in Tenth International Symposium on Logical Formalizations of Commonsense Reasoning (Commonsense'11), 2011.
      [paper]


  • 2007-2010
    • Adaptive Near-Duplicate Detection via Similarity Learning
      Hannaneh Hajishirzi, Wen-tau Yih, and Aleksander Kolcz
      in Proceedings of the 33rd Annual ACM SIGIR Conference (SIGIR'10), 2010.
      [paper][sldies] [bibtex][patent

    • Reasoning about Deterministic Actions with Probabilistic Prior and Application to Stochastic Filtering
      Hannaneh Hajishirzi and Eyal Amir
      in Proceedings of International Conference on Principles of Knowledge Representation and Reasoning (KR'10), 2010.
      [paper][sldies][bibtex]

    • Greedy Algorithms for Sensing Decision
      Hannaneh Hajishirzi, Afsaneh Shirazi, Jaesic Choi, and Eyal Amir
      in Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI'09), 2009.
      [paper][sldies][bibtex]

    • Sampling First Order Logical Particles,
      Hannaneh Hajishirzi and Eyal Amir
      in Proceedings of the 24th conference on Uncertainty in Artificial Intelligence (UAI'08), 2008.
      [paper][sldies][bibtex]

    • Stochastic Filtering in a Probabilistic Action Model
      Hannaneh Hajishirzi and Eyal Amir
      in Proceedings of 22nd National Conference on Artificial Intelligence (AAAI'07), 2007.
      [paper][sldies][bibtex]
 

Last modified © 2012 Hannaneh Hajishirzi