Báo cáo khoa học: "Employing Topic Models for Pattern-based Semantic Class Discovery" doc
Báo cáo khoa học: "Employing Topic Models for Pattern-based Semantic Class Discovery" doc
... document could be related to multiple
topics in some topic models (e.g., pLSI and
LDA).
Topic modeling
Semantic class construction
word
item (word or phrase)
document
RASC
topic
semantic ... organizing them into
semantic classes. For example, {red, white,
black…} is a semantic class consisting of color
instances. A popular way for semantic class dis-
cove...
Tài liệu Báo cáo khoa học: "Unsupervised Topic Modelling for Multi-Party Spoken Discourse" ppt
... Association for Computational Linguistics
Unsupervised Topic Modelling for Multi-Party Spoken Discourse
Matthew Purver
CSLI
Stanford University
Stanford, CA 94305, USA
mpurver@stanford.edu
Konrad ... drawing the topic assignment for each
word, z
u,i
, conditioned on all other topic assign-
ments, z
−(u,i)
, all topic change indicators, c, and
all words, w; and then drawing the...
Tài liệu Báo cáo khoa học: "Incremental Parsing Models for Dialog Task Structure" doc
... 90% of the dialogs
for training, and used the remainder for testing.
We separately trained models for: user dia-
log act classication (DAC, Equation 1); user
task/subtask classication (STC, ... feature vector for user subtask classication
has the same features as for user dialog act inter-
pretation, plus the actual or classied dialog act
(see Equation 2).
The label for each...
Báo cáo khoa học: "Learning Expressive Models for Word Sense Disambiguation" pot
... customized
for this monolingual task, the ILP approach signif-
icantly outperforms the majority sense baseline and
performs as well as the state-of-the-art system re-
porting results for the same ... task outperforms the other
machine learning techniques investigated.
In the monolingual task, the approach per-
forms as well as the state-of-the-art sys-
tems which reported results for...
Báo cáo khoa học: "Re-Ranking Models For Spoken Language Understanding Marco Dinarelli University of Trento Italy" potx
... mapped into a vector space
and SLU is performed as a classification problem
using Maximal Margin Classifiers (Shawe-Taylor
and Cristianini, 2004).
Generative models have the advantage to be
more robust ... months
1
Contract n. 33549
etc. The class of a word not belonging to any class
is the word itself.
In the second step, classes are mapped into con-
cepts. The mapping is not one-to-one:...
Báo cáo khoa học: "Rule Markov Models for Fast Tree-to-String Translation" pot
... Meeting of the Association for Computational Linguistics, pages 856–864,
Portland, Oregon, June 19-24, 2011.
c
2011 Association for Computational Linguistics
Rule Markov Models for Fast Tree-to-String ... performance of vertically composed
rules at various settings. Here we have chosen the
setting that gives the best performance on the test
set for inclusion in Table 1.
Table 6 sho...
Báo cáo khoa học: "Flow Network Models for Word Alignment and Terminology Extraction from Bilingual Corpora" docx
... 1993), for example, allow to take
this fact into account.
We can envisage more complex models, in-
cluding distortion parameters, multiword no-
tions, or information on part-of-speech, infor- ... can simplify the above formula and write:
le+l 1
P(a,e,,f,)= ]-I p(ei,f~ilal
)i-1 (5)
i=1
where a~ -1 is a shorthand for
(al, ,ai-1).
p(ei, f~,)
is a shorthand for
p(a~(ei)
= f~,...
Báo cáo khoa học: "Latent Variable Models for Semantic Orientations of Phrases" pdf
... suitable for our task,
by incorporating the new variable c for semantic
orientation in the EM computation.
5 Conclusion
We proposed models for phrases with semantic
orientations as well as a classification ... computational models for phrases
with semantic orientations as well as classification
methods based on the models. Indeed the seman-
tic orientations of phrases depend...
Báo cáo khoa học: "PCFGs, Topic Models, Adaptor Grammars and Learning Topical Collocations and the Structure of Proper Names" ppt
... model. The probabilities
1150
Sentence
Doc3 '
Doc3 '
Doc3 '
Doc3 '
Doc3 '
_3
Doc3
Topic4
shallow
Doc3
Topic4
circuits
Doc3
Topic4
compute
Doc3
Topic7
faster
Figure 2: A tree generated ... Doc
j,i
Topic
i
i, i
∈ 1, . . . , ;
j ∈ 1, . . . , m
Topic
i
→ w i ∈ 1, . . . , ; w ∈ V
A sample parse generated by a “sticky topic
1151
Sentence
Doc3...
Báo cáo khoa học: "Smaller Alignment Models for Better Translations: Unsupervised Word Alignment with the 0" potx
... the Association for Computational Linguistics, pages 311–319,
Jeju, Republic of Korea, 8-14 July 2012.
c
2012 Association for Computational Linguistics
Smaller Alignment Models for Better Translations:
Unsupervised ... d, but the differences do not concern us
here. All three models, as well as IBM Models 3–5,
share the same t. For further details of these models,
the reader is...