Tenth International Workshop on Symbolic-Neural Learning (SNL2026)

June 25-26, 2026
Toyota Technological Institute at Chicago (Chicago, IL, USA)

SNL2026 will be held at the Toyota Technological Institute at Chicago, located on the University of Chicago campus in Chicago, IL.

Symbolic-neural learning involves deep learning methods in combination with symbolic structures. A "deep learning method" is taken to be a learning process based on gradient descent on real-valued model parameters. A "symbolic structure" is a data structure involving symbols drawn from a large vocabulary; for example, sentences of natural language, parse trees over such sentences, databases (with entities viewed as symbols), and the symbolic expressions of mathematical logic or computer programs. Natural applications of symbolic-neural learning include, but are not limited to, the following areas:

Image caption generation and visual question answering
Speech and natural language interactions in robotics
Machine translation
General knowledge question answering
Reading comprehension
Textual entailment
Dialogue systems

Various architectural ideas are shared by deep learning systems across these areas. These include word and phrase embeddings, recurrent neural networks (LSTMs and GRUs) and various attention and memory mechanisms. Certain linguistic and semantic resources may also be relevant across these applications. For example dictionaries, thesauri, WordNet, FrameNet, FreeBase, DBPedia, parsers, named entity recognizers, coreference systems, knowledge graphs and encyclopedias. Deep learning approaches to the above application areas, with architectures and tools subjected to quantitative evaluation, loosely define the focus of the workshop.

The workshop consists of invited oral presentations and contributed poster presentations.

Key Dates

May 25, 2026	Poster Submission Deadline. Submissions will be evaluated on a rolling basis.
June 11, 2026	Registration Deadline.

Organizing Committee

Satoru Fukayama	AIST AI Research Center, Tokyo, Japan
Kentaro Inui	RIKEN Center for AIP, Tokyo, Japan
Tomoko Matsui	Shenzhen Loop Area Institute, China
Yutaka Sasaki	Toyota Technological Institute, Nagoya, Japan
Koichi Shinoda	Institute of Science Tokyo, Tokyo, Japan
Matthew R. Walter (Chair)	Toyota Technological Institute at Chicago, Chicago, USA
Yasushi Yagi	The University of Osaka, Osaka, Japan

Program Co-Chairs

Matthew R. Walter	Toyota Technological Institute at Chicago, Chicago, USA
Greg Shakhnarovich	Toyota Technological Institute at Chicago, Chicago, USA

Program Committee