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Tokunaga Takenobu, Iwayama Makoto, and Tanaka Hozumi.
Automatic thesaurus construction based on grammatical relations.
In Proceedings of IJCAI-95,
1995.

We propose a method to build thesauri on the basis of grammatical relations. The proposed method constructs thesauri by using a hierarchical clustering algorithm. An important point in this paper is the claim that thesauri in order to be efficient need to take (surface) case information into account. We refer to the thesauri as "relation-based thesaurus (RBT)." In the experiment, four RBTs of Japanese nouns were constructed from 26,023 verb-noun co-occurrences, and each RBT was evaluated by objective criteria. The experiment has shown that the RBTs have better properties for selectional restriction of case frames than conventional ones.

built separate thesauri based on the Japanese surface case

document edit

updated at: 2007/06/11 15:50:31

Donald Hindle.
Noun classification from predicate-argument structures.
In 28th Annual Meeting of the Association for Computational Linguistics,
pp. 268-275,
1990.

Abstract: A method of determining the similarity of nouns on the basis of a metric derived from the distribution of subject, verb and object in a large text corpus is described. The resulting quasi-semantic classification of nouns demonstrates the plausibility of the distributional hypothesis, and has potential application to a variety of tasks, including automatic indexing, resolving nominal compounds, and determining the scope of modification.

"the meaning of entities, and the meaning of grammatical relations among them, is related to the restriction of combinations of these entities relative to other entities." (Harris 1968:12).
"More is to be learned from the fact that you can drink wine than from the fact that you can drink it even though there are more clauses in our sample with it as an object of drink than with wine."

"We can define "reciprocally most similar" nouns or "reciprocal nearest neighbors" (RNN) as two nouns which are each other's most similar noun."

similarity measure measure similarity mutual information information mutual automatic distributional classification distributional classification automatic distributional classification distributional automatic synonym acquisition acquisition synonym distributional hypothesis hypothesis distributional similarity predicate argument structure predicate argument argument structure predicate argument structure mutual information mutual information cosine inner product inner product reciprocally most similar reciprocally most most similar reciprocally most similar reciprocal nearest neighbors reciprocal nearest nearest neighbors reciprocal nearest neighbors rnn syntactic relation syntactic relation subject object relationship subject object object relationship subject object relationship

document edit

updated at: 2007/01/22 16:19:20

James Curran.
From Distributional to Semantic Similarity.
PhD thesis, University of Edinburgh,
2004.

<<BOOKMARK>> read only chapter 3.

Landauer and Dumais (1997) -> argue that a 500 "character" limit is more appropriate.
"a fixed character window will select either fewer longer (and thus more informative) words or more shorter (and thus less informative) words, extracting a consistent amout of contextual information for each headword"

document edit

updated at: 2007/01/20 17:36:44