Marc Light. A Computational Theory of Lexical Relatedness. University of Rochester, Computer Science Department, Technical Report 421, Rochester, New York, 1992. Home/Search Document Details and Download
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Word Formation in Lexical Type Hierarchies - A Case Study of.. - Riehemann (1993) (10 citations) (Correct)
....(1985) carry over to morphology. 31 Even this seems a problem in a realistic large scale computational application because it is unlikely that one will manage to include all exceptions to all rules into the lexicon a mechanism for handling words that are new to the system is needed as well (Light 1992). 3 THE KRIEGER NERBONNE APPROACH 39 The first source of the information is needed for partly idiosyncratic cases, as these are adjectives even if they cannot be analyzed as subject to the head principle (fruchtbar ( fertile ) This corresponds to the view that the categorial status of ....
Light, Marc (1992): "A Computational Theory of Lexical Relatedness". Technical Report 421, University of Rochester.
Rehashing Re- - Light (1992) Self-citation (Light) (Correct)
....a result state. 11 Wechsler lists the meaning postulate in (15) but does not say anything for or against it in his final analysis. 12 For a complete description of this combination of lexical rules and meaning postulates and a computational lexicon system built around this combination, see [Light, 1992]. 13 The examples in (18) and (19) are from Wechsler. 14 This example and general approach was pointed out to me by Lenhart Schubert, personal communication. 15 Wechsler also makes this observation. 16 I am referring to the sense used in the manufacturer recalled the faulty model. ....
Light, M.,"A Computational Theory of Lexical Relatedness," Technical Report 421, Department of Computer Science, University of Rochester, 1992.
The TRAINS Project: A case study in building a.. - Allen, Schubert.. (1994) (58 citations) Self-citation (Light) (Correct)
....construction of large lexicons with detailed semantic entailments for each entry. This will be very time consuming, but there does not seem to be a way to automatically derive this sort of rich semantic information about word meanings in any other way. More details on this approach can be found in [Light, 1993]. While all the inflectional forms of words used in the demonstration dialogues were handcoded in the lexicon, words outside this core set are processed using the Alvey morphological analyzer [Ritchie et al. 1992] which itself uses a Kimmo based segmenter and a unificationbased chart parser. ....
Marc Light, "A computational theory of lexical relatedness," Technical Report 421, Department of Computer Science, University of Rochester, Rochester, NY, 1993.
Rule-based Acquisition and Maintenance of - Lexical And Semantic (Correct)
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Marc Light. A Computational Theory of Lexical Relatedness. University of Rochester, Computer Science Department, Technical Report 421, Rochester, New York, 1992.
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