... density for a pair of words. We report
an average accuracy of 80% for the first ranked
sense, and 91% for the first two ranked senses.
Extensions of this method for larger windows of
more ... semantically untagged word1 - word2
pair (W1 - W2)
OUTPUT: ranking the senses of one word
PROCEDURE:
STEP 1. Form a similarity list ]or each sense
of one of the word...
... exploiting paraphrase information for the
target senses rather than relying on the structure
of WordNet as a whole.
Topic models have also been applied to the re-
lated task of word sense induction. ... lemmas
for the target instances.
4
Sense Paraphrases For word sense disam-
biguation tasks, the paraphrases of the sense keys
are represented by information from WordNe...
... state -of- the-art systems
for Word Sense Disambiguation (WSD) are de-
signed according to a supervised learning frame-
work, in which the disambiguation of each word
in the lexicon is performed ... the domain of the text in which the word
is located is a crucial information for WSD. For
example the (domain) polysemy among the COM-
PUTER
SCIENCE and the MEDICINE senses...
... the
graph for each target word in the context: for each
target word W
i
, we concentrate the initial proba-
bility mass in the senses of the words surrounding
W
i
, but not in the senses of the ... numbers of iterations, and analyze the
rate of convergence of the algorithm. Figure 1 de-
picts the performance of the Ppr
w2w method for
different iterations of the algor...
... word can only be aligned to one source word.
Therefore, given a target word we can always identify
which source word it is aligned to.
Source alignment context feature: We anchor the
target word ... source word
and derive context features surrounding the aligned
target word. Figure 2c shows a left target context
feature of word “refers”. Our features are derived from
a window...
... the results of
speech recognition to increase the performance of a
speech translation system. This paper proposes a
method for correcting errors using the statistical
features of character ...
The results of our evaluation show that the use of
our proposed method as a post-processor for speech
recognition is likely to make a significant contribution
to the performance...
... differentia words for its parent article, the word
may represent a "turning point" in the story of the
articles. For example, the word "state" is the dif-
ferentia word for dT, ... article.
Words in a rectangle are differentia words for the
articles. These words show new information in the
article, and make it easy to understand the content
of the a...
... appropriately modified for
multiple reference translations and allowing for le-
gitimate differences in word choice and word or-
der. The main idea is to use a weighted average of
variable length ... Proceedings of the 40th Annual Meeting of the Association for
2 The Baseline BLEU Metric
Typically, there are many “perfect” translations of a
given source sentence. These transl...
... Proceedings of the 12th Conference of the European Chapter of the ACL, pages 799–807,
Athens, Greece, 30 March – 3 April 2009.
c
2009 Association for Computational Linguistics
MINT: A Method for Effective ... ;
1 P
S,T
;
2 for each pair of articles (D
S
, D
T
) in A
S,T
do
3 for each named entity ε
S
in D
S
do
4 Y
S
; // Set of candidates for ε
S
....
... generation of biographies
for question answering.
In the pursuit of a complete and connected rep-
resentation of the underlying facts of a story, our
annotation process involves the labeling of verb
frames, ... semantic encodings of short fables.
We present this tool as a stand-alone, re-
usable resource for research in semantics
in which formal encoding of text, espe-
ciall...