Kyle Richardson


Phone +49 711 685-
Universität Stuttgart
Institut für Maschinelle Sprachverarbeitung
Pfaffenwaldring 5 b
70569 Stuttgart

I am a PhD student working on the DFG funded SFB-732 project (project D2) under Jonas Kuhn.  Broadly, my interests are in natural language understanding, specifically question-answering, semantic parsing, and grounded language learning. I was previously an intern in the Intelligent Systems Lab (ISL) at the Palo Alto Research Center (PARC, June 2010-October 2011), working with the NLP team on question-answering. More recently (December 2012-March 2014) I worked as a research consultant for SRI International and SAP Labs Palo Alto on enterprise question-answering. Before all of this, I was an undergraduate student at the University of Rochester (USA).

A recent talk about some of my PhD work can be found here (versions of which have been presented at the University of Edinburgh, IBM Research Zurich, the Allen Institute for AI, Microsoft Research, Cambridge, SRI International, Salesforce Research and French Institute for Research in Computer Science (INRIA), Paris). 

My github , kaggle 


Kyle Richardson (2018) A Language for Function Signature Representations. Brief technical note [arxiv][resources]

Kyle Richardson, Jonathan Berant and Jonas Kuhn (2018). Polyglot Semantic Parsing in APIs  Proceedings of NAACL (long,oral) [arxiv][paper][data][notes(updated)][code][slides][video]

Kyle Richardson, Sina Zarrieß and Jonas Kuhn (2017). The Code2Text Challenge: Text Generation in Source Code Libraries (2017) Proceedings of INLG 2017 (shared task track) [arxiv][paper][inlg_slides][resources]. 

Kyle Richardson, Jonas Kuhn (2017). Function Assistant: A Tool for NL Querying of APIs. (2017) [arxiv][paper][demo][resources][code][poster Proceedings of EMNLP 2017 (demo track)

Kyle Richardson, Jonas Kuhn (2017). Learning Semantic Correspondences in Technical Documentation. Proceedings of ACL 2017 (long) [arvix][paper][notes][data][acl_poster][stuttgart slides][code]. 

Kyle Richardson, Jonas Kuhn. (2016) Learning to Make Inferences in a Semantic Parsing Task. Transactions of the Association of Computational Linguistics (TACL) [paper][data][acl_slides][video]. 

Cleo Condoravdi, Kyle Richardson, Vishal Sikka, Asuman Suenbuel, and Richard Waldinger (2015) Natural Language Access to Data: It Takes Common Sense!. to appear in Twelfth International Symposium on Logical Formalizations of Commonsense Reasoning (Commonsense-15). AAAI Spring Symposium. [demo][link]

Cleo Condoravdi, Kyle Richardson, Vishal Sikka, Asuman Suenbuel, and Richard Waldinger (2014) Deduction for Natural Language Access to Data. in University of Coimbra CS Technical Reports, CISUC/TR 2014-02. Presented at Joint Workshop on Natural Language and Computer Science (NLCS) and Natural Language Services for Reasoners (NLSR). Vienna, Austria.  

Kyle Richardson and Jonas Kuhn (2014) UnixMan Corpus: A Resource for Language Learning in the Unix Domain. in Proceedings of LREC. Reykjavik, Iceland. [link] [data]

Sina Zarriess and Kyle Richardson. (2013) An Automatic Method for Building a Data-to-Text Generator in Proceedings of 14th European Workshop on Natural Language Generation (Generation Challenges Poster) , Sofia, Bulgaria. Association for Computational Linguistics. [link

Kyle Richardson and Jonas Kuhn. (2012) Light Textual Inference for Semantic Parsing in Proceedings of 24th International Conference on Computational Linguistics (COLING 2012) , Mumbai,India [paper]

Richard Waldinger, Danny Bobrow, Cleo Condoravdi, Amar Das, Kyle Richardson. (2011) Accessing Structured Health Information through English Queries and Automatic Deduction. in Proceedings of AAAI Spring Symposium on Health Communications. Palo Alto, CA.