This paper addresses the question of whether it is possible to sense-tag systematically, and on a large scale, and how we should assess progress so far. That is to say, how to attach each occurrence of a word in a text to one and only one sense in a dictionary – a particular dictionary of course, and that is part of the problem. The paper does not propose a solution to the question, though we have reported empirical findings elsewhere [5, 22, 21], and intend to continue and refine that work. The point of this paper is to examine two well-known contributions critically: The first [13], which is widely taken to show that the task, as defined, cannot be carried out systematically by humans and, secondly [25], which claims strikingly good results at doing exactly that
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Wilks, Y. (2007). Senses and Texts. In: Ahmad, K., Brewster, C., Stevenson, M. (eds) Words and Intelligence I. Text, Speech and Language Technology, vol 35. Springer, Dordrecht. https://doi.org/10.1007/1-4020-5285-5_11
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