AAAI Spring Symposium, Stanford 27-29 March 2017

Computational Construction Grammar and Natural Language Understanding


This symposium is primarily targeting researchers in natural language processing/understanding and computational linguistics, but will have broader appeal to the larger AI community, specifically researchers in knowledge representation, man-machine interaction, and machine learning. The symposium focuses on recent TECHNICAL advances in computational formalisms for construction grammar, machine learning of construction grammar, and use of construction grammar in natural language understanding and production. The presentation and demonstration of working systems is highly encouraged.

Areas of interest include:

1. What unifies constructional approaches to language?

2. Formalisms and implementations of construction grammar (CxG)

3. Constructicons, corpora annotated for CxG, and statistical construction learning.

4. Construction grammar learning by physical robots.

5. Deep Natural Language Understanding (NLU) and Production.

6. Relations of CxG to the brain, development, and evolution.

7. Application efforts.

Paper submissions may take the form of long papers (4-8 pages in AAAI format, including references) for oral presentation or short papers (up to 4 pages in AAAI format, including references) for poster presentation. Evidence of a working implementation, e.g. through a web-accessible demonstration, is highly encouraged. Individual submissions for oral or short papers are due by OCTOBER 28 and authors will be notified by November 29. There will be one or more hands-on interactive sessions where participants can show implemented CxG systems.

Suggestions for panels may be submitted by October 1 to either or

All papers for the symposium will be collected and made into an AAAI technical report, which will be distributed to attendees electronically and included in the AAAI Digital Library.

Symposium conveners: Jerome Feldman and Luc Steels

Additional members of program committee: Katrien Beuls, Adele Goldberg and Nancy Chang.

More information:

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