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“The best teachers are those who show you where to look, but don't tell you what to see.”

Internships

PhD students in computer science are invited to apply for full-time internships year-round. Applicants should have an interest in natural language processing, machine learning, knowledge representation, semantics, question answering, textual entailment, or computer vision. All interns are paired with a mentor and participate in AI2's groundbreaking work. There are no restrictions on publications based on internships. Pay is competitive, and visa sponsorship is available.

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)
  • Krishna Kumar Singh (UC Davis)

Spring 2017

  • Titipat Achakulvisut (Northwestern University)

Winter 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)

2016 Interns

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"

2015 Interns

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"

2014 Interns

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"