Báo cáo khoa học: "Learning Phrase-Based Spelling Error Models from Clickthrough Data" pot
Báo cáo khoa học: "Learning Phrase-Based Spelling Error Models from Clickthrough Data" pot
... pairs
from the clickthrough data. These pairs, impli-
citly judged by millions of users, are used to train
a set of spelling error models. Among these
models, the most effective one is a phrase-based ... the error
models learned from clickthrough data lead to
significant improvements on the task of query
spelling correction. In particular, the speller sys-
tem incorpor...
Tài liệu Báo cáo khoa học: "Learning to Compose Effective Strategies from a Library of Dialogue Components" doc
... automat-
ically learning effective dialogue strategies,
generated from a library of dialogue content,
using reinforcement learning from user feed-
back. This library includes greetings, so-
cial ... can
automatically compose a dialogue strategy from a li-
brary of dialogue components, that is very similar
to a manually designed expert strategy, by learning
from user feedback.
Thus, in...
Tài liệu Báo cáo khoa học: "Learning Parse and Translation Decisions From Examples With Rich Context" pdf
... relevance, none of them are unjustifiably
remote from the current focus of a parse state.
The feature collection is basically independent
from the supervised parse action acquisition. Before ... summarizes the evaluation results of
translating 32 randomly selected sentences from our
Wall Street Journal corpus from English to German.
Besides our system, CONTEX, we tested three com...
Báo cáo khoa học: "Learning to Translate with Source and Target Syntax" pot
... translation models that try to
capture the recursive structure of language
have been widely adopted over the last few
years. These models make use of vary-
ing amounts of information from linguis-
tic ... rule extraction, the
majority are due to parser errors. To address this
problem, Liu et al. (2009) extract rules from pairs
1
The first 2000 sentences from the GALE Phase 4
Chinese...
Báo cáo khoa học: "Learning Document-Level Semantic Properties from Free-text Annotations" pot
... a joint, hi-
erarchical Bayesian model. Keyphrases are drawn
from a set of clusters; words in the documents are
drawn from language models indexed by a set of
topics, where the topics correspond ... Finally, the word w
d,n
is drawn from the multinomial θ
z
d,n
, where z
d,n
in-
dexes a topic-specific language model. Each of the
K language models θ
k
is drawn from a symmetric
Dirich...
Báo cáo khoa học: "Learning Effective Multimodal Dialogue Strategies from Wizard-of-Oz data: Bootstrapping and Evaluation" pot
... Barto, 1998),
where the simulated environment is learned from
small amounts of Wizard-of-Oz (WOZ) data. Us-
ing WOZ data rather than data from real Human-
Computer Interaction (HCI) allows us to ... learned strategies are then available from the
first moment of online-operation, and tedious hand-
crafting of dialogue strategies is omitted. This inde-
pendence from large amounts of in-d...
Báo cáo khoa học: "Learning to Identify Fragmented Words in Spoken Discourse" pot
... disfluency phenomenon:
fragmented words. Our data, from the
Spoken Dutch Corpus, samples nearly
45,000 sentences of human discourse,
ranging from spontaneous chat to me-
dia broadcasts. We classify ... of
spontaneity, extending from television and ra-
dio broadcasts, interviews, lectures, meetings, to
spontaneous telephone conversations. The num-
ber of speakers involved ranges from 1...
Báo cáo khoa học: "CONTEXTUAL WORD SIMILARITY AND ESTIMATION FROM SPARSE DATA" ppt
... obtained the set of
pairs with high probability from the training cor-
pus, selecting pairs that occur at least 5 times.
We then deleted these pairs from the data base
that is used by the estimation ... performs better than
existing smoothing methods, and may provide
an alternative to class based models.
1
Introduction
Statistical data on word cooccurrence relations
play a majo...
Báo cáo khoa học: "Discovering Relations among Named Entities from Large Corpora" pot
... particular events and relations between
entities from text. However, it is domain depen-
dent and it could not give answers to those types of
queries from Web documents which include widely
various ... examples by bootstrapping from a small
initial set of seeds for a particular relation. Brin
used a few samples of book titles and authors, col-
lected common patterns from context inclu...
Báo cáo khoa học: "Improving the IBM Alignment Models Using Variational Bayes" pot
... perplexity of
held-out test data, alignment error rate (AER), and
the BLEU scores which result from using our ver-
sion of GIZA++ in the end-to-end phrase-based ma-
chine translation system Moses.
2 ... the four models in-
dividually, and when it is used for all four models
simultaneously. We saw the most overall improve-
ment when VB was used only for Model 1; using VB
for all four...