... findings
in Section 7 and finally we conclude in Section 8.
2 Generation Ranking
The task we are considering is generation rank-
ing. In generation (or more specifically, surface
realisation) ranking, ... patterns in generation. We investigate the
(automatically detectable) morphosyntactic char-
acteristics of each asymmetric IS pair and inte-
grate these syntactic asymmetric properties i...
... STRUCTURE-DRIVEN GENERATION
FROM SEPARATE SEMANTIC REPRESENTATIONS
Stephan Busernann
Deutsches Forschungszentrum fiir ... top-down genera-
tots using an integrated semantics cannot occur
in the separate- semantics approach. Expansion of
grammar rules can be controlled by the semantic
representation if each rule application ...
grammar rules, thus assigning to each syntactic...
... projection areas of the
LDT PPT complex leading to the hypothesis that
the binding sites might represent presynaptic neuro-
nal terminals. Because cholinergic neurons of the
LDT PPT are functionally ... activation of
cholinergic circuits located in the LDT and PPT of the
pons-midbrain transition area (Fig. 2). Lesions of the
cholinergic LDT PPT complex lead to a loss of REM
sleep without...
... a 300k-word
corpus with semantic role relations labeled for
verbs in the WSJsection of the Penn Treebank.
A common approach for automatic semantic
role labeling is to separate the process into ... accuracy
on semantic role labeling is quantified, and con-
sistent quality parses were found to be essential
when automatically identifying semantic roles on
WSJ text.
1.2 Potential benefit...
... the
complete task.
1 Introduction
Semantic role labeling (SRL), the process of auto-
matically identifying arguments of a predicate in
a sentence and assigning them semantic roles, has
received much ... is
whether it is meaningful to project semantic
markup of text across languages. Equivalent
words in two different languages sometimes ex-
hibit subtle but significant semantic differen...
... family relations, awards, etc.
5 Semantic Calculus
The Semantic Calculus axioms combine two se-
mantic relations identified within a text fragment
and increase the semantic connectivity of the
text ... that
holds. We have identified 82 semantic axioms
that show how semantic relations can be com-
bined. These axioms enable inference of unstated
meaning from the semantics detected in te...
...
simply recoding the representations into the
second language surface representation, grammar,
and semantic structure. We assume that the pro-
cesses can be tuned to produce "normal" results
... this axiomatization and uses it to drive the semantic
interpretation process. We claim three benefits from this
scheme. First, the interface between semantic interpreta-
tion and pragmatics has ... interface is trivial, since both semantic
interpretation and pragmatics use the same vocabulary
and inference engine. The second benefit, related to the
first, is that semantic guidan...
... Improving Probabilistic Latent Semantic Analysis
with Principal Component Analysis
Ayman Farahat
Palo Alto Research Center
3333 ... Research Center
3333 Coyote Hill Road
Palo Alto, CA 94304
chen@fxpal.com
Abstract
Probabilistic Latent Semantic Analysis
(PLSA) models have been shown to pro-
vide a better model for capturing poly-
semy ... (Brants et al., 2002), and text classification
(Wu a...
... for the per-assignment evaluation.
5 Text-to-text Semantic Similarity
We run our comparative evaluations using eight
knowledge-based measures of semantic similarity
(shortest path, Leacock & ... available
approach to CAA in languages with scarce re-
sources.
One corpus-based measure of semantic similar-
ity is latent semantic analysis (LSA) proposed by
Landauer (Landauer and Dumai...