@article {13827,
	title = {Mapping WorldNet Senses to a Lexical Database of Verbs},
	year = {2001},
	month = {2001/01//},
	institution = {Instititue for Advanced Computer Studies, Univ of Maryland, College Park},
	abstract = {This paper describes automatic techniques for mapping 9611 semantically classified English verbs to WordNet senses. The verbs were initially grouped into 491 semantic classes based on syntactic categories; they were then mapped into WordNet senses according to three pieces of information: (1) prior probability of WordNet senses; (2) semantic similarity of WordNet senses for verbs within the same category; and (3) probabilistic correlations between WordNet relationship and verb frame data. Our techniques make use of a training set of 1791 disambiguated entries representing 1442 verbs occurring in 167 of the categories. The best results achieved .58 recall and .72 precision, versus a lower bound of .38 recall and .62 precision for assigning the most frequently occurring WordNet sense, and an upper bound of .75 recall and .87 precision for human judgment.},
	keywords = {*DATA BASES, *ENGLISH LANGUAGE, *LEXICAL DATABASES, *LEXICOGRAPHY, *MAPPING, *VERBS, *WORD MAPPING, *WORDNET, AMBIGUITY, correlation, FRAMES, Frequency, INFORMATION SCIENCE, JUDGEMENT(PSYCHOLOGY), linguistics, PRECISION, probability, RECALL, semantics, syntax, WORDS(LANGUAGE), WSD(WORD SENSE DISAMBIGUATION)},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA458846},
	author = {Green,Rebecca and Pearl,Lisa and Dorr, Bonnie J}
}
@article {17289,
	title = {Measuring computer program quality and comprehension},
	journal = {International Journal of Man-Machine Studies},
	volume = {9},
	year = {1977},
	month = {1977/07//},
	pages = {465 - 478},
	abstract = {Judging the relative quality of computer programs and a programmer{\textquoteright}s comprehension of a given program has proven to be a difficult task. Ability to debug, modify, hand simulate execution or respond to questions about the program all have their weaknesses as comprehension metrics. This paper offers experimental evidence which supports the use of memorization/recall tasks as a further basis for judging program quality and programmer comprehension. A syntactic/semantic model of programmer behavior is presented to provide a basis for this hypothesis.},
	keywords = {cognitive psychology, commenting, memorization, modification, program design, programmer behavior, Programming, programming experiments, programming languages, RECALL, structured programming},
	isbn = {0020-7373},
	doi = {10.1016/S0020-7373(77)80014-X},
	url = {http://www.sciencedirect.com/science/article/pii/S002073737780014X},
	author = {Shneiderman, Ben}
}
