Báo cáo khoa học: "Semi-supervised Learning for Automatic Prosodic Event Detection Using Co-training Algorithm" doc
Báo cáo khoa học: "Semi-supervised Learning for Automatic Prosodic Event Detection Using Co-training Algorithm" doc
... co-training algorithm
to automatic prosodic event detection and propose
methods to better select samples to improve semi-
supervised learning performance for this task.
4 Prosodic event detection method
We ... 540–548,
Suntec, Singapore, 2-7 August 2009.
c
2009 ACL and AFNLP
Semi-supervised Learning for Automatic Prosodic Event Detection
Using Co-training...
Tài liệu Báo cáo khoa học: "Guided Learning for Bidirectional Sequence Classification" ppt
... our learning algorithm is the strategy
used to select samples for training.
In general, this novel learning framework lies be-
tween supervised learning and reinforcement learn-
ing. Guided learning ... classification are dynamically incorporated in the
learning phase.
Guided learning is not as hard as reinforcement
learning. At each local step in learning, we always
know the u...
Tài liệu Báo cáo khoa học: "Machine Learning for Coreference Resolution: From Local Classification to Global Ranking" ppt
... rely
on additional labeled data for learning the ranker;
instead, we use half of the training texts for training
classifiers and the other half for ranking purposes.
Results using our approach are shown ... and Cardie (2002b) for details.
Learning algorithms. We consider three learning
algorithms, namely, the C4.5 decision tree induction
system (Quinlan, 1993), the RIPPER rule...
Báo cáo khoa học: "Accurate Learning for Chinese Function Tags from Minimal Features" pdf
... per-
formance to systems using sophisticated
parse trees.
1 Introduction
Function tags, such as subject, object, time, loca-
tion, etc. are conceptually appealing by encoding
an event in the format ... applying it to
our specific task.
3.1 Learning Model
The framework from which HM-SVM are derived
is a maximum margin formulation for joint fea-
ture functions in kernel learning settin...
Báo cáo khoa học: "Transductive learning for statistical machine translation" potx
... N-
best list. For details, see (Ueffing and Ney, 2007).
Again, the single values are multiplied to obtain a
score for the whole sentence. For NIST, the lan-
guage model score is determined using a 5-gram
model ... 24.4
for the 100K filtered corpus, and from 24.5 to 24.8
for 150K, respectively. Moreover, we see that the
BLEU score of the system using 100K training sen-
tence pairs...
Báo cáo khoa học: "Spectral Learning for Non-Deterministic Dependency Parsing" ppt
... paper we study spectral learning
methods for non-deterministic split head-
automata grammars, a powerful hidden-
state formalism for dependency parsing.
We present a learning algorithm that, ... parsing and learning
algorithms for grammatical bigram models. Techni-
cal Report UCB/CSD-01-1148, University of Cali-
fornia, Berkeley.
Slav Petrov and Dan Klein. 2007. Improved infer-
en...
Báo cáo khoa học: "Reinforcement Learning for Mapping Instructions to Actions" pdf
... 128 documents, divided into 70 for
training, 18 for development, and 40 for test. In
the puzzle game domain, we use 50 tutorials,
divided into 40 for training and 10 for test.
9
Statistics for ... contrast, our emphasis
is on learning language by proactively interacting
with an external environment.
Reinforcement Learning for Language Pro-
cessing Reinforcement learning ha...
Báo cáo khoa học: "Active Learning for Statistical Natural Language Parsing" potx
... a better learning curve.
4.4 Summary Result
Figure 8 shows the best active learning result compared
with that of random selection. The learning curve for ac-
tive learning is obtained using as ... to
achieve a satisfactory performance using active learning.
Active learning has been studied in the context of many
natural language processing (NLP) applications such as
informat...
Báo cáo khoa học: "Active Learning for Multilingual Statistical Machine Translation∗" ppt
... shows
the performance of random sentence selection for
AL combined with self-training /co-training for the
multi-source translation from the four Germanic
languages to English. It shows that the co-training
mode ... Work
(Haffari et al., 2009) provides results for active
learning for MT using a single language pair. Our
work generalizes to the use of multilingual corpora
using...