Gabor Angeli
my_last_name (at) my_university.edu
gradient
About Me

I'm a Ph.D student at Stanford (since 2010) advised by Chris Manning, in the natural language processing group. I graduated from UC Berkeley in 2010 with a B.S. in Electrical Engineering / Computer Science. I'm on the faculty market this year! You can find my research statement and teaching statement online.

My interests are in natural language understanding. Recently I've been working on open-domain natural language inference -- particularly common sense reasoning -- and some work in relation extraction. In the past, I did some work on interpreting temporal expressions using semantic parsing.

Otherwise, In my free time I enjoy the outdoors (hiking / camping / backpacking), board games, and movies.

My Publications
  • 2015
  • A large annotated corpus for learning natural language inference
    Empirical Methods in Natural Language Processing (EMNLP). 2015
  • Leveraging Linguistic Structure For Open Domain Information Extraction
    Association for Computational Linguistics (ACL). 2015
  • Robust Subgraph Generation Improves Abstract Meaning Representation Parsing
    Association for Computational Linguistics (ACL). 2015
  • 2014
  • NaturalLI: Natural Logic Inference for Common Sense Reasoning
    Empirical Methods in Natural Language Processing (EMNLP). 2014
  • Combining Distant and Partial Supervision for Relation Extraction
    Empirical Methods in Natural Language Processing (EMNLP). 2014
  • Stanford's Distantly Supervised Slot Filling Systems for KBP 2014
    Text Analysis Conference Proceedings. 2015
  • A Dictionary of Nonsubsective Adjectives
    Stanford CS Technical Report. 2014
  • 2013
  • Philosophers are Mortal: Inferring the Truth of Unseen Facts
    Computational Natural Language Learning (CoNLL). 2013
  • Language-Independent Discriminative Parsing of Temporal Expressions
    Association for Computational Linguistics (ACL). 2013
  • Stanford's 2013 KBP System
    Text Analysis Conference Proceedings. 2014
  • 2012
  • Parsing Time: Learning to Interpret Time Expressions
    North American Chapter of the Association for Computational Linguistics (NAACL). 2012
  • 2010
  • A Simple Domain-Independent Probabilistic Approach to Generation
    Empirical Methods in Natural Language Processing (EMNLP), 2010
  • I've experiments to run; there is research to be done.

    A picture of me

    Figure 1: Me