... approach for
coreference resolution which uses the Bell
tree to represent the search space and casts
the coreference resolution problemas finding
the best path from the root of the Bell tree to
the leaf ... outcome, and there is no other way to form enti-
ties. The Bell tree clearly represents the search space
of the coreference resolution problem. The c...
... proper men-
tions (proper names), nominal mentions (descrip-
tions), and pronominal mentions (pronouns). There
is a great deal of related work on this subject, so
the descriptions of other systems ... assigned
salience only to pronouns.
Another unsupervised generative model was re-
cently presented to tackle only pronoun anaphora
1169
resolution (Charniak and Elsner, 2009). The
expect...
... and Section 4 presents the main
conclusions of this work.
37
2 The IRIS Implementation
In this section we first provide a detailed descrip-
tion of the IRIS architecture along with the most ... from the scripts: speakers,
utterances and context. The speaker and utterance
elements contain information about the characters
who speak and what they said at each dialogue
turn....
... d controls the asymptotic growth of
the number of unique words. In the last two pan-
els, we show the proportion of words appearing
only once among the unique words; this gives an
indication ... machine
translation. Most language models fall into the
class of n-gram models, which approximate the
distribution over sentences using the conditional
distribution of each word given...
... rules emits h~
potheses about the constituents of the sentence
and their functional role and another set of rules
verifies whether a hypothesis satisfies the con
straints about the well-formedness ...
rules emits hypotheses about the constituents of
the sentences and their functional role and an
m
other set of rules verifies whether a hypothesis
satisfies the constraints...
... opinion is
assigned to the target objects, therefore, we have to
focus on the relationship among words in a sentence,
not only on the frequent words appeared in a docu-
ment. For this reason, ... have the same word fre-
quency in themselves, tend to be estimated as they
have the same topic probablistic distribution without
considering the dependency relation among words.
Howev...
... system
combination method which goes beyond the ex-
isting post-decoding style combination of N-best
hypotheses from different systems.
2 The Translation Model Based on the
Synthetic Synchronous Grammar
2.1 ... extent, the generalization ability of
the grammar rules (the usability of the rules for the
new sentences) can be considered as a kind of the
generative power of...
... restrictions on the set of desirable so-
lutions. ILP tries to find an optimal solution while
adhering to the global constraints. One of the
central global constraints in the field of corefer-
ence resolution ... we can do, we com-
pared the first consistent solution generated by our
adaptation of an efficient Zero-One algorithm with
the optimal solution. The first consistent s...
... models. In
the evaluation process, we considered only the
true mentions of the ACE test dataset, and the
event mentions of the test sets derived from a 5-
fold cross validation scheme on the E CB ... these two corpora.
Evaluation For a more realistic approach, we not
only trained the models on the manually annotated
event mentions (i.e., true mentions), but also on all...
... rearrange-
ment of their noncovalent interactions. While the
contributions of the VDW and coulombic energy
parameters to these changes are evident from the
results, other noncovalent interactions such ... glycosylation with a decrease in the
dihedral and the coulombic electrostatic energy parame-
ters. Because the protein portion of the conjugates
remains constant for these mode...