@InProceedings{zock-biemann:2016:CogALex-V,
  author    = {Zock, Michael  and  Biemann, Chris},
  title     = {Towards a resource based on users' knowledge to overcome the Tip of the Tongue problem.},
  booktitle = {Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex - V)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {57--68},
  abstract  = {Language production is largely a matter of words which, in the case of access
	problems, can be searched for in an external resource (lexicon, thesaurus). In
	this kind of dialogue the user provides the momentarily available knowledge
	concerning the target and the system responds with the best guess(es) it can
	make given this input. 
	As tip-of-the-tongue (ToT)-studies have shown, people always have some
	knowledge concerning the target (meaning fragments, number of syllables, ...)
	even if its complete form is eluding them. We will show here how to tap on this
	knowledge to build a resource likely to help authors (speakers/writers) to
	overcome the ToT-problem. 
	Yet, before doing so we need a better understanding of the various kinds of
	knowledge people have when looking for a word. To this end, we asked
	crowdworkers to provide some cues to describe a given target and to specify
	then how each one of them relates to the target, in the hope that this could
	help others to find the elusive word. Next, we checked how well a given search
	strategy worked when being applied to differently built lexical networks. The
	results showed quite dramatic differences, which is not really surprising.
	After all, different networks are built for different purposes; hence each one
	of them is more or less suited for a given task. What was more surprising
	though is the fact that the relational information given by the users did not
	allow us to find the elusive word in WordNet better than without it.},
  url       = {http://aclweb.org/anthology/W16-5308}
}