... 20)
same agr same agreement of anaphor
and antecedent?
same gramrole same grammatical role of
anaphor and antecedent?
same semclass* same semantic class of
anaphor and antecedent?
Table 1: Features ... pronoun
ana npform NP form of the anaphor
ana gramrole grammatical role of the
anaphor
ana agr agreement of the anaphor
ana semclass* semantic class of the anaphor
ante npform NP form of the antecedent
ante ... science, arts and
entertainment, and travel.
4.2 The MMAX Annotation Tool
The manual annotation of the training data was
done with the MMAX (Multi-Modal Annotation
in XML) annotation tool (M¨uller and...
... embedding in a sentence
6. ana
gram func grammatical function of anaphor
7. ana
npform form of anaphor
8. ana
agree person, gender, number
9. ana
case grammatical case of anaphor
10. ana
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tion and if this markable was not an indefinite noun
phrase, it was considered a potential anaphor. In
that case, pairs...
... systems to which we can compare them.
We take this level of success as an indication of the
feasibility of our data-driven, modular approach.
Additionally, our approach has the advantage of
wide ... contribute
to a natural language understanding or machine
translation application. Since WH dependencies
also tend to distort the surface subcategorization
properties of verbs, identifying gaps could also ... been dealt with as part of the syntax (but
cf. Kuno, Takami & Wu (1999) for an alterna-
tive approach) . Early generative treatments used a
WH-movement
transformation (McCawley, 1998)
to describe...
... speculate, the supervised learning may
have favorably worked to cause the same effect as
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ically ... proposed a novel approachto au-
tomatic synonym identification based on supervised
machine learning and distributional features. For
this purpose, we re-formalized synonym acquisition
as a classification ... machine learning.
In this paper, we propose a novel approach to
automatic synonym identification based on super-
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synonym acquisition as a classification...
... overall performance. The base classifiers
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The native corpus approach consists of learning
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... integrated into a phrase-
based decoder serving as additional distortion fea-
tures.
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translation tasks, and ... source lan-
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15 ... This
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... 1998. Machine trans-
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TMEM. Second, we adapt a decoding algorithm
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den Bosch. 2007. TiMBL: Tilburg memory based
learner, ... has
been argued that memory-based learning is at an
advantage in solving these highly disjunctive learn-
ing problems compared to more eager learning that
abstract from the examples, as the latter ... information available in the training corpus and
modelling the task applying an approach similar to
the one that has been applied to tasks like semantic
role labeling (Morante et al., 2008) or negation
scope...
... Empirical Methods in Natural Language Process-
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3
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Bulletin...