@InProceedings{tian-mineshima-martinezgomez:2017:I17-5,
  author    = {Tian, Ran  and  Mineshima, Koji  and  Mart\'{i}nez-G\'{o}mez, Pascual},
  title     = {The Challenge of Composition in Distributional and Formal Semantics},
  booktitle = {Proceedings of the IJCNLP 2017, Tutorial Abstracts},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {16--17},
  abstract  = {This is tutorial proposal. Abstract is as follows:
	The principle of compositionality states that the meaning of a complete
	sentence must be explained in terms of the meanings of its subsentential parts;
	in other words, each syntactic operation should have a corresponding semantic
	operation. In recent years, it has been increasingly evident that
	distributional and formal semantics are complementary in addressing
	composition; while the distributional/vector-based approach can naturally
	measure semantic similarity (Mitchell and Lapata, 2010), the formal/symbolic
	approach has a long tradition within logic-based semantic frameworks (Montague,
	1974) and can readily be connected to theorem provers or databases to perform
	complicated tasks. In this tutorial, we will cover recent efforts in extending
	word vectors to account for composition and reasoning, the various challenging
	phenomena observed in composition and addressed by formal semantics, and a
	hybrid approach that combines merits of the two.
	Outline and introduction to instructors are found in the submission.
	Ran Tian has taught a tutorial at the Annual Meeting of the Association for
	Natural Language Processing in Japan, 2015. The estimated audience size was
	about one hundred. Only a limited part of the contents in this tutorial is
	drawn from the previous one.
	Koji Mineshima has taught a one-week course at the 28th European Summer School
	in Logic, Language and Information (ESSLLI2016), together with Prof. Daisuke
	Bekki. Only a few contents are the same with this tutorial.
	Tutorials on "CCG Semantic Parsing" have been given in ACL2013, EMNLP2014, and
	AAAI2015. A coming tutorial on "Deep Learning for Semantic Composition" will be
	given in ACL2017. Contents in these tutorials are somehow related to but not
	overlapping with our proposal.},
  url       = {http://www.aclweb.org/anthology/I17-5006}
}