... 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 ... 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 ... system’s performance on
the manually annotated (gold standard) data with-
out the semantic features.
For the baseline, accuracy is significantly higher
for the gold standard data than for the two...
... ante
case grammatical case of antecedent
5. ante
s depth the level of embedding in a sentence
6. ana
gram func grammatical function of anaphor
7. ana
npform form of anaphor
8. ana
agree person, ... is based on the same as-
sumptions as the former. The information content of
a non-NP-markable is calculated as follows, based
on a set of 553 Switchboard dialogues: For each
word in the markable, ... language for
data analysis and graphics. Journal of Computational and
Graphical Statistics, 5:299–314.
Kohavi, Ron & George H. John (1997). Wrappers for fea-
ture subset selection. Artificial Intelligence...
... have
typically 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 ... stage
4093/4242
=
96.5%
for other 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 ... Statistical Mod-
els for Natural Language Parsing.
Ph.D. thesis,
University of Pennsylvania, Philadelphia, PA.
S. E. Fahlman. 1988. An empirical study of learning
speed in back-propagation networks....
... the Association forMachine Translation
in the Americas (AMTA-2006).
Christoph Tillmann, Stephan Vogel, Hermann Ney, Hassan
Sawaf, and Alex Zubiaga. 1997. Accelerated DP-based
search for statistical ... of the Association for
Computational Linguistics.
Simon Corston-Oliver, Michael Gamon, and Chris Brockett.
2001. Amachinelearningapproach to the automatic eval-
uation of machine translation. ... Evaluation with MachineLearning
A good automatic evaluation metric can be seen as
a computational model that captures a human’s de-
cision process in making judgments about the ade-
quacy and...
... were annotated with
the types of financial transactions they are most
related to. Paragraphs that did not fall into a
category of interest were classified as “other”.
The annotated paragraphs ... etc.
133
Maytag: A multi-staged approach to identifying
complex events in textual data
Conrad Chang, Lisa Ferro, John Gibson, Janet Hitzeman, Suzi Lubar, Justin Palmer,
Sean Munson, Marc Vilain, and Benjamin ... semantic type of the
phrase (for named entities), the phrase vocabu-
lary, the distance to the target head, and local
context (words and phrases).
Our initial evaluation of this approach has
given...
... problem-focused approach is accepted as a valid methodology for
management research (Aram and Salipante, 2003).
COST MANAGEMENT & ACCOUNTING FOR LEAN ENTERPRISES
Womack and Jones (1996: 262) raise ... that an extended
value stream approach to cost management will have the most significant impact on total cost.
The adoption of Inter-organisational Cost Management ideas
in an integrated manner ... combined in a specific
area. The learning process was accelerated for all stakeholders, rapid knowledge transfer was
enabled and practical application of some of the research ideas could be...
... not readily available (Zhao et
al., 2010).
In contrast, bilingual parallel data is in abundance
and has been used in extracting paraphrase (Ban-
nard and Callison-Burch, 2005; Zhao et al., 2008b;
Callison-Burch, ... issues are also raised
in (Zhao and Wang, 2010) about using automatic
metrics: paraphrase changes less gets larger BLEU
score and the evaluations of paraphrase quality and
rate tend to be incompatible.
To ... Monolingual machine translation for paraphrase
generation. In EMNLP, pages 142–149.
Shiqi Zhao and Haifeng Wang. 2010. Paraphrases and
applications. In COLING (Tutorials), pages 1–87.
Shiqi Zhao,...
... essential, as pattern-based approach is enhanced
with the supervised machine learning.
In this paper, we propose a novel approach to
automatic synonym identification based on super-
vised learning ... David Weir and Diana McCarthy. 2004.
Characterising Measures of Lexical Distributional
Similarity. Proc. of COLING 04, 1015–1021.
6
formalization of similarity-based approach would
be essential, ... 786–774.
Shachar Mirkin, Ido Dagan, and Maayan Geffet. 2006.
Integrating pattern-based and distributional similarity
methods for lexical entailment acquisition. Proc. of
COLING/ACL 06, 579–586.
Brian...
... give-cake big-cake …
Figure 1. Attribute-value vector for syntactic relations
Given that some types of information are not avail-
able for certain instances, many attributes will have
null values. ... only classified a few ex-
amples (form 1 to 6).
In Table 2 we show the accuracy of the theory
learned for each verb, as well as accuracy
achieved by two propositional machinelearning
algorithms ... a few are designed for specific applica-
tions, such as MT. Existing multilingual approaches
can be classified as (a) knowledge-based ap-
proaches, which make use of linguistic knowledge
manually...
... 1998) and Snowball
(Agichtein and Gravano, 2000), because there is no
gold-standard evaluation corpus available. We
have adapted the evaluation method suggested by
Agichtein and Gravano, i.e., ... data
set. If at all possible, the training data should ex-
hibit a skewed distribution of reports to events.
Actually, such training data may be the only realis-
tic chance for reaching a large ... In Proc. of ACL-
03, pages 224–231, Sapporo, Japan.
R. Yangarber, R. Grishman, P. Tapanainen, and S. Hut-
tunen. 2000. Automatic Acquisition of Domain
Knowledge for Information Extraction. In...