... Workshop, pages 31–36,
Sydney, July 2006.
c
2006 Association for Computational Linguistics
Semantic Discourse Segmentation and Labeling for Route Instructions
Nobuyuki Shimizu
Department of Computer ... detec-
tion and tracking, and one segment of the text.
In order to annotate unambiguously, we need to
detect and track both landmarks and actions. A
landmark is a hallwa...
... Interactive Poster and Demonstration Sessions,
pages 105–108, Ann Arbor, June 2005.
c
2005 Association for Computational Linguistics
SenseClusters: Unsupervised Clustering and Labeling of Similar ... features and unsupervised clustering.
Our initial work (Purandare and Pedersen, 2004)
focused on word sense discrimination, which takes
as input contexts that each contain a given ta...
... interfaces and im-
prove the performance of summarization and in-
formation retrieval systems.
Discourse segmentation of the documents com-
posed of parallel parts is a novel and challeng-
ing problem, ... 2010.
c
2010 Association for Computational Linguistics
Unsupervised Discourse Segmentation
of Documents with Inherently Parallel Structure
Minwoo Jeong and Ivan Titov
Saa...
... Daum
´
e III and Marcu,
2005; Finkel et al., 2006) and for specific problems
such as language modeling and utterance classifica-
tion (Saraclar and Roark, 2005) and labeling and
chunking (Shimizu and Haas, ... tagger,
and the best output is selected using the overall POS-
segmentation probability score. In this system, the
decoding for word segmentation and POS taggi...
... extended
information available in them.
Gold Segmentation and Tagging To assess the
adequacy of the Berkeley parser for Hebrew, we per-
formed baseline experiments in which either gold
segmentation and ... an F-measure of about 88.8% for the
gold segmentation and tagging, and about 82.8% for
gold segmentation only. This shows the adequacy
of the PCFG-LA methodology for...
... over the baseline for both data sets, whereas
ME and NB perform significantly worse.
9
Addi-
tional experiments are needed to determine the rea-
son for ME and NB’s poor performance.
In an attempt ... matching operations to be performed
on the given pair of NPs, NP
x
and NP
y
10
, including
(1) exact string match for pronouns, proper nouns,
and non-pronominal NPs (both before an...
... be handled by pretending they are a form of
prepos=t=onal phrase
The regular and predictable relattonsn~p between s~mple
statements. ¢~uestions and relalwe clauses and between
act=ve and ... The sOlutions, therefore, rested on separating the
syntact=c and semanttc reformat=on. Plume already
incorporates just me separation of syntax and semantics
necessary for syntactic ge...
... Association for Computational Linguistics, pages 383–387,
Jeju, Republic of Korea, 8-14 July 2012.
c
2012 Association for Computational Linguistics
Unsupervized Word Segmentation:
the case for Mandarin ... from
the Segmentation bake-off II (Emerson, 2005)
and define a more precise topline for the task
using cross-trained supervized system available
off-the-shelf (Zhang and Clark...
... Discovery and Data Mining
(KDD), pages 133–142. ACM.
T.K. Landauer and P.W. Foltz. 1998. An introduction to
latent semantic analysis. Discourse processes, pages
259–284.
T.K. Landauer, D. Laham, and ... a ceiling for the perfor-
mance of our system, we calculate the average corre-
lation between the CLC and the examiners’ scores,
and find an upper bound of 0.796 and 0.792 Pear-...
...
pages 538–549, Auckland, New Zealand.
B. Van Durme and M. Pasca. 2008. Finding cars, god-
desses and enzymes: Parametrizable acquisition of
labeled instances for open-domain information ex-
traction. ... Borkovsky, A M. Popescu and
V. Vyas. 2009. Web-Scale Distributional Similarity
and Entity Set Expansion. EMNLP’2009. Singapore.
P. Pantel and D. Ravichandran. 2004. Automatic...