... Distributional Similarity Models: Clustering
vs.
Nearest
Neighbors
Lillian
Lee
Department of Computer Science
Cornell ... probability estimation
methods that incorporate word similarity infor-
mation: distributional clustering and nearest-
neighbors averaging.
Distributional clustering
(Pereira et al., 1993) assigns to ... distributional clustering
(section 2.1) and...
... Bar-Hillel, "The Present State of Re-
search on Mechanical Translation, " American
Documentation, 2:229-237 (1951)
6.
A. D. Booth, L. Brandwood, J. P. Cleave,
Mechanical Resolution ... circumlocution — 'had to.' If we want
to indicate the connection in meaning (parallel-
ing a similarity in distribution) between 'can'
and 'is able to' and bet...
... then yield similarity values
between vertices that indicate the degree of relat-
edness between them with regard to the property
encoded through the edges. For two nodes i and
j in G, similarity ... on the obtained similarity val-
ues between the vertices of the two graphs.
One problem of SimRank observed in experi-
ments by Laws et al. (2010) was that while words
with high similarity...
... Other
cohesion-based techniques have typically focused
on hand-crafted similarity metrics between sen-
tences, such as cosine similarity (Galley et al., 2003;
Malioutov and Barzilay, 2006). In contrast, ... connected
with this research – provided an additional set of
segment annotations on six documents. On this sub-
set of documents, the P
k
between annotators was
.306, and the WindowDif...