Báo cáo khoa học: "Re-Ranking Models For Spoken Language Understanding Marco Dinarelli University of Trento Italy" potx
Báo cáo khoa học: "Re-Ranking Models For Spoken Language Understanding Marco Dinarelli University of Trento Italy" potx
... Spoken Language Understanding
Marco Dinarelli
University of Trento
Italy
dinarelli@ disi.unitn.it
Alessandro Moschitti
University of Trento
Italy
moschitti@disi.unitn.it
Giuseppe Riccardi
University ... Proceedings of the 12th Conference of the European Chapter of the ACL, pages 202–210,
Athens, Greece, 30 March – 3 April 2009.
c
2009 Association for Computat...
Báo cáo khoa học: "TEMPORAL REASONING IN NATURAL LANGUAGE UNDERSTANDING: THE TEMPORAL STRUCTURE OF THE NARRATIVE" docx
...
the ideas of Grosz and Sidner (1986), but refor-
mulates them specifically for the task of narra-
tive understanding. A reformulation, I believe,
is needed because different genres of discourse ... TEMPORAL REASONING IN NATURAL LANGUAGE UNDERSTANDING:
THE TEMPORAL STRUCTURE OF THE NARRATIVE
Alexander Nakhimovsky
Department of Computer Science
Colgate University
Hami...
Tài liệu Báo cáo khoa học: "Topic Models for Dynamic Translation Model Adaptation" pptx
... Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, pages 115–119,
Jeju, Republic of Korea, 8-14 July 2012.
c
2012 Association for Computational Linguistics
Topic Models ... number of
occurrences of the word pair in s.
Topic Modeling for MT We extend provenance
to cover a set of automatically generated topics z
n
.
Given a parallel tra...
Báo cáo khoa học: "Distortion Models For Statistical Machine Translation" doc
... this paper are for
Arabic-English machine translation of news stories.
We also present a novel method for measuring word
order similarity (or differences) between any given pair
of languages based ... 3.
The rest of this paper is organized as follows. Sec-
tion 2 presents a review of related work. In Section 3
we propose a method for measuring the distortion be-
tween any given...
Báo cáo khoa học: "Structured Models for Fine-to-Coarse Sentiment Analysis" pdf
... to
determine the sentiment flow of authors in reviews.
Here we show that fine-to-coarse models of senti-
ment can often be reduced to the sequential case.
Cascaded models for fine-to-coarse sentiment
analysis ... more
complex hierarchical models.
The advantage of using hierarchical models of
this form is that they are nested, which keeps in-
ference tractable. Observe that each...
Báo cáo khoa học: "Targeted Help for Spoken Dialogue Systems: intelligent feedback improves naive users'''' performance" pdf
... Aist
Department of Brain Center for the Study of Language
RIACS
and Cognitive Sciences
and Information (CSLI) NASA Ames Research Center,
University of Rochester
Stanford University
Moffet Field, ... a
grammar-based language model and assist users
in becoming expert as quickly as possible. This
approach takes advantage of the strengths of both
types of langua...
Báo cáo khoa học: " New Models for Improving Supertag Disambiguation" pdf
... be employed in informa-
tion retrieval. Furthermore, given a sentence
aligned parallel corpus of two languages and al-
most parse information for the sentences of one
of the languages, one ... Proceedings of EACL '99
New Models for Improving Supertag Disambiguation
John Chen*
Department of Computer
and Information Sciences
University of Delaware
Newark, DE 197...
Báo cáo khoa học: "Fertility Models for Statistical Natural Language Understanding" pdf
... from a natural language ex-
pression, E, into an equivalent expression, F, in
an unambigous formal language. Typically, this for-
mal language will be hand-crafted to enhance per-
formance on ... terms of the form p(nlf), where n
is the number of clumps generated by the formal lan-
guage word f. The resulting model can be trained
automatically from a bilingual corpus of Eng...
Báo cáo khoa học: "Minimized Models for Unsupervised Part-of-Speech Tagging" pot
... Kevin Knight
University of Southern California
Information Sciences Institute
Marina del Rey, California 90292
{sravi,knight}@isi.edu
Abstract
We describe a novel method for the task
of unsupervised ... been shown to work for natural
language applications. These approaches employ
heuristic search methods with MDL for the task
of unsupervised learning of morphology of natu-...