Spring 2017

• Titipat Achakulvisut (Northwestern University)

Summer 2017

• Chris Clark (University of Washington)
• Ahmed Elgohary (University of Maryland)
• Tanmay Gupta (UIUC)
• Xun Huang (Cornell University)
• Dongyeop Kang (CMU)
• Arun Mallya (UIUC)
• Kenneth Marino (CMU)
• Markus Smith (University of Washington)
• Krishna Kumar Singh (UC Davis)
• Lucy Wang (University of Washington)

Fall 2017

• Aishwarya Agrawal (Virginia Tech)
• Chloe Anastasiades (Northeastern University)
• Derick Anderson (Northeastern University)
• Daniel Gordon (University of Washington)
• Nelson Liu (University of Washington)
• Cindy Prasetio (University of Washington)
• Rebecca Sharp (University of Arizona)
• Scott Wisdom (University of Washington)

Fall 2016

• Srinivasan Iyer (University of Washington): "A Natural Language Interface for Semantic Scholar"
• Christopher Mitcheltree (University of Waterloo): "A Journey Through Topic-Based Aristo"
• Mark Neumann (UCL): "Adaptive Computation for Multi-Step Question Answering"
• Johannes Welbl (UCL): "Creating A Bigger Science Exam Dataset"

Summer 2016

• Hessam Bagherinezhad (University of Washington): "Training of Efficient Deep Networks"
• Nan-Chen Chen (University of Washington): "Visual Analytics for Aristo Robustness Testing"
• Pradeep Dasigi (CMU): "Almost End-to-End Deep Learning for Answering Science Questions"
• Carlo Del Mundo (University of Washington): "Hardware/Software Codesign for Convolutional Neural Networks"
• Daniel Khashabi (University of Illinois, Urbana-Champaign): "Robust Reasoning for Question Answering"
• Kenton Murray (CMU): "Neural Probabilistic Programming"
• Sachan Mrinmaya (CMU): "An Axiomatic Solver for Geometry Problems"
• Joseph Redmon (University of Washington): "Hardware/Software Codesign for Convolutional Neural Networks"
• Subhro Roy (University of Illinois, Urbana-Champaign): "Solving Math Problems"
• Minjoon Seo (University of Washington): "Multimodal Question Answering Via Graph-to-graph Interaction"
• Gunnar Sigurdsson (CMU): "Temporal Situation Recognition for Human Activity Understanding"
• Luca Weihs (University of Washington): "Scientific Impact Prediction"
• Chenyan Xiong (CMU): "Relevance in Semantic Scholar"
• Mark Yatskar (University of Washington): "Situation Recognition - Sparse and Zero-shot Prediction"
• Yuke Zhu (Stanford): "Learning Physical Knowledge Through Interactions"

Winter 2016

• Eric Gribkoff (University of Washington): "Improving Textual Generalization via Machine Learning"
• Dan Moran (Northeastern): "Remote Evaluations for Aristo"
• Mahyar Najibi (University of Maryland): "Object Detection with CNNs"

Summer 2015

• Ryan Benmalek (University of Washington): "Component Caching with Redis & RGIT"
• Chandra Bhagavatula (Northwestern University): "Key Phrase Extraction in Semantic Scholar"
• Akash Gupta (University of Washington): "Extracting Text from Diagrams"
• Sujay Jauhar (CMU): "FRETS: Feature Rich Embedding Table Solver"
• Daniel Khashabi (University of Illinois, Urbana-Champaign): "Question Answering with Integer Linear Programming (ILP)"
• Satwant Rana (IIT Delhi): "Scientific Concept Extraction from Big Data"
• Rachel Rudinger (John Hopkins University): "Event Inference Rules for Aristo"
• Gabriel Satanovsky (Bar Ilan University): "Solving SAT Geometry Questions"
• Minjoon Seo (University of Washington): "Solving Geometry Problems: Combining Text and Diagram Interpretation"
• Kavya Srinet (CMU): "Learning to Rank"
• Chen-Tse Tsai (University of Illinois, Urbana-Champaign): "State Change Questions"
• Xiaolong Wang (CMU): "Preconditions & Effects"
• Luca Weihs (University of Washington): "Relevance and Learning to Rank for S2"
• Mark Yatskar (University of Washington): "Verb Prediction"

Winter 2015

• Yang Li (UC Santa Barbara): "Answering Elementary Science Questions by Constructing Coherent Scenes Using Background Knowledge"

Fall 2014

• Matt Gardner (CMU): "Answering Questions with Random Walk Inference"
• Noah Siegel (University of Washington): "Figure Understanding in Semantic Scholar"

Summer 2014

• Qingqing Cai (Temple University): "Automatic Dependency Patterns Learning for Relation Extraction"
• Eric Gribkoff (University of Washington): "Question Answering with Markov Logic Networks"
• Ben Hixon (University of Washington): "Knowledge Acquisition in Open Dialogues"
• Wen Huang (University of Washington): "Encouraging User Comments on Open AIR"
• Eric Lei (University of Washington): "Accelerated Treebanking for Dependency Parses"
• Victoria Lin (University of Washington): "Frame-Based Information Extraction for Elementary Physics QA"
• Ellie Pavlick (University of Pennsylvania): "Acquiring Lexical Entailments for Aristo"
• Fereshteh Sadeghi (University of Washington): "Visual Verification"
• Min Joon Seo (University of Washington): "Geometry Question Solver"
• Marco Valenzuela (University of Arizona): "Citations in Semantic Scholar"