Hannaneh Hajishirzi - University of Washington

2022
- Cross-Task Generalization via Natural Language Crowdsourcing Instructions
  Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi
  ACL, 2022
  [paper]
- Noisy Channel Language Model Prompting for Few-Shot Text Classification
  Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
  ACL, 2022
  [paper]
- FaVIQ: FAct Verification from Information-seeking Questions
  Jungsoo Park, Sewon Min, Jaewoo Jang, Luke Zettlemoyer, Hannaneh Hajishirzi
  ACL, 2022
  [paper]
- Generated Knowledge Prompting for Commonsense Reasoning
  Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi
  ACL, 2022
  [paper]
- Reframing Instructional Prompts to GPTk's Language
  Swaroop Mishra, Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi
  ACL, 2022
  [paper]

2021
- One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
  Akari Asai, Xinyan Yu, Jungo Kasai, and Hannaneh Hajishirzi
  NeurIPS, 2021
  [paper]
- DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization
  Zeqiu Wu*, Bo-Ru Lu*, Hannaneh Hajishirzi, Mari Ostendorf
  EMNLP, 2021
  [paper]
- Joint Passage Ranking for Diverse Multi-Answer Retrieval
  Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi
  EMNLP, 2021
  [paper]
- Probing Across Time: What Does RoBERTa Know and When?
  Leo Z. Liu*, Yizhong Wang*, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith
  EMNLP Findings, 2021
  [paper]
- GooAQ: Open Question Answering with Diverse Answer Types
  Daniel Khashabi, Amos Ng, Tushar Khot, Ashish Sabharwal, Hannaneh Hajishirzi and Chris Callison-Burch
  EMNLP Findings, 2021
  [paper]
- Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text
  Christopher Clark, Jordi Salvador, Dustin Schwenk, Derrick Bonafilia, Mark Yatskar, Eric Kolve, Alvaro Herrasti, Jonghyun Choi, Sachin Mehta, Sam Skjonsberg, Carissa Schoenick, Aaron Sarnat, Hannaneh Hajishirzi, Aniruddha Kembhavi, Oren Etzioni and Ali Farhadi
  EMNLP, 2021
  [paper]
- Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study
  Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, and Tom Hope
  AKBC, 2021
  [paper]
- Efficient Passage Retrieval with Hashing for Open-domain Question Answering
  Ikuya Yamada, Akari Asai, Hannaneh Hajishirzi
  ACL, 2021
  [paper]
- Prompting Contrastive Explanations for Commonsense Reasoning Tasks
  Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Luke Zettlemoyer, Hannaneh Hajishirzi
  Findings of ACL, 2021
  [paper]
- XOR QA: Cross-lingual Open-Retrieval Question Answering
  Akari Asai, Jungo Kasai, Jonathan H. Clark, Kenton Lee, Eunsol Choi, Hannaneh Hajishirzi
  NAACL 2021
  [paper][project page]
- Probing Contextual Language Models for Common Ground with Visual Representations
  Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi
  NAACL 2021
  [paper]
- Extracting a Knowledge Base of Mechanisms from COVID-19 Papers
  Aida Amini*, Tom Hope*, David Wadden, Madeleine Zuylen, Sravanthi Parasa, Eric Horvitz, Daniel Weld, Roy Schwartz, and Hannaneh Hajishirzi
  NAACL 2021
  [paper]
- DeLighT: Deep and Light-weight Transformer
  Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, and Hannaneh Hajishirzi
  ICLR 2021
  [paper][code]
- MultiModalQA: Complex Question Answering over Text, Tables and Images
  Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, Jonathan Berant
  ICLR 2021
  [paper][code]
- A Controllable Model of Grounded Response Generation
  Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan
  AAAI 2021
  [paper][code]
- DiCENet: Dimension-wise convolutions for efficient networks
  Sachin Mehta, Hannaneh Hajishirzi, Mohammad Rastegari
  PAMI Journal
  [paper][code]

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]