... evaluation based on
multi-features. Section 6 shows experimental
results. The conclusion is drawn in the last sec-
tion.
2 System Overview
The C-E term translation mining system based on
semantic ... Main Conference Poster Sessions, pages 199–206,
Sydney, July 2006.
c
2006 Association for Computational Linguistics
Chinese-English Term Translation Mining Based on...
... Japanese
to English translation we use Jaen, a semantic-
transfer based machine translation system (Bond
et al., 2011).
3.1 Semantic Interface and Alignment
For the alignment, we convert the MRS struc-
tures ... are con-
sidered as mutual semantic tags: As the meaning of
a sentence stays constant during translation, we are
able to resolve ambiguities which exist in only one
of th...
... demonstrate that GLSA-
based term translation probabilities cap-
ture semantic relations between terms and
improve performance on document classi-
fication.
1 Introduction
Many recent applications ... the translation proba-
bilities.
2.1 Document Similarity
We propose to use low dimensional term vectors
for inducing the translation probabilities between
terms. We postpone the d...
... Association for Computational Linguistics:shortpapers, pages 65–70,
Portland, Oregon, June 19-24, 2011.
c
2011 Association for Computational Linguistics
Lost in Translation: Authorship Attribution ... im-
pact on topicality on the attribution methods in this
paper. Furthermore, traditional investigations of au-
thorship attribution have focused on the case of at-
tributing texts among...
...
4 Approaches
Based on these motivations we have developed
two approaches to conduct cross-event propaga-
tion. Section 4.1 below will describe the rule-
based approach and section 4.2 will present ... learning framework respectively.
4.1 Rule based Prediction
The easiest solution is to encode rules based on
constraints from event arguments and positions
of two events. We des...
... descriptions must
be tree shaped.
Semantic representation. Following (Stone and
Doran, 1997), we represent meaning using a flat
semantic representation, i.e. as multisets, or con-
junctions, of non-recursive ... generators. On the one hand, they require
that the grammar be semantically monotonic that
is, that the semantics of each daughter in a rule
subsumes some portion of the mother se...
... of semantic relations between
constituents in compound nouns based on
lexical semantic structure. One of the
difficulties of compound noun analysis is
that the mechanisms governing the deci-
sion ... descrip-
tion should not remain just a kind of categorization.
Rather, it should take into account the construction
of the analysis model.
The previous work proposed semantic approaches...
... ORGANIZATION,0,0.
*:*:location-name,
SHI-NAI:*:common-noun
-> LOCATION,0,1.
*:*:location-name,
*:*:common-noun
-> ORGANIZATION,0,0.
The first rule extracts CNN as an organization.
The second rule ... Introduction
Named entity (NE) recognition is a task in
which proper nouns and numerical informa-
tion in a document are detected and classi-
fied into categories such as person, organiza-
ti...
... 93) conditioned probabilities on
non-terminal labels and part of speech tags alone.
The SPATTER parser (Magerman 95; 3elinek et ah
94) does use lexical information, and recovers labeled
constituents ...
labeled by the modifier non-terminal, lip in both of
these cases, the parent non-terminal, VP, and finally
the head-child non-terminal, VBD. The triple of non-
terminals at the start...
... cross
(3) A bunsetsu, except for the rightmost one, de-
pends on only one bunsetsu
(4) In many cases, the left context is not neces-
sary to determine a dependency 1
The analysis method proposed ... combinations of the basic features. We
selected the combined features based on our intu-
ition.
In our future work, we believe some methods
for automatic feature selection should be...