... TEXT SEGMENTATION
BASED ON SIMILARITY BETWEEN WORDS
Hideki Kozima
Course in Computer Science and Information Mathematics,
Graduate School, University of Electro-Communications
1-5-1, ... structure
of text is an essential task in text understanding,
especially in resolving anaphora and ellipsis.
One of the constituents of the text struc-
ture is a text segment. A te...
... method based on constructing a mul-
tilingual network connecting English and for-
eign words. We use this network to iden-
tify the semantic orientation of foreign words
based on connection between ... the union of a set of English and foreign words.
E is a set of edges connecting nodes in V . There
are three types of connections: English-English con-
nections, Foreign-Foreign connectio...
... Proceedings of the EACL 2009 Demonstrations Session, pages 53–56,
Athens, Greece, 3 April 2009.
c
2009 Association for Computational Linguistics
A text- based search interface for Multimedia ... The tool is a text- based search in-
terface that facilitates the exploration of a
corpus of audiovisual files, annotated with
the COSMOROE relations.
1 Introduction
Online multimedia content become...
... Natural
Language Processing. It has applications
in text classification, text filtering, analysis
of product review, analysis of responses
to surveys, and mining online discussions.
We propose a method for identifying ... valuable
resource for such an application.
Another interesting application is mining online
discussions. A threaded discussion is an electronic
discussion in which softwar...
... so on. Empirical evaluations have shown
that most of these methods are quite effective in tra-
ditional text classification applications.
In past serval years, hierarchical text classification
has ... Association for Computational Linguistics:shortpapers, pages 598–602,
Portland, Oregon, June 19-24, 2011.
c
2011 Association for Computational Linguistics
Hierarchical Text Classification w...
... and Demonstration Sessions,
pages 53–56, Ann Arbor, June 2005.
c
2005 Association for Computational Linguistics
SenseLearner: Word Sense Disambiguation
for All Words in Unrestricted Text
Rada ... SENSEVAL
evaluations.
1 Introduction
The task of word sense disambiguation consists of
assigning the most appropriate meaning to a polyse-
mous word within a given context. Applications such
as ma...
...
retrieved information into texts.
The foreign language writing support tool we
propose here automatically access information
relevant to input texts. Like a Kana-Kanji
conversion front-end processor ... information access
function of the English writing support tool.
336
2. FEP-type Information Access
Platform
2.1. Text
input front-end processor with
information access functions...
... operation imposes a
rank ordering on the selected keywords. The final operation is a selection of only those documents
that contain at least one of the top-ranked keywords and that contain mentions ... operations for the exploration of gene function within a
biomedical text collection, where the functions of genes A, B, and C are known, and commonalities
are sought to hypothesize the...
...
characterizing text structure in terms of the
relations that hold between parts of a text
(e.g., CONTRAST, MOTIVATION). The
defini-
tion
of each RST relation includes constraints
on the two ...
follow-up questions in the context of the on-
going conversation and to determine how to
clarify a response when necessary. To pro-
vide these capabilities, an explanation facility...
... rules with different context information
are used successively for solving different prob-
lems. We will use the same context information
for all data. The optimal context size will be
determined ... classifica-
tion results of the best context size for determining
the optimal context size for the classification tags.
As a third step, we will evaluate combinations of
classification re...