Báo cáo khoa học: "Weakly Supervised Learning for Hedge Classification in Scientific Literature" pot
Báo cáo khoa học: "Weakly Supervised Learning for Hedge Classification in Scientific Literature" pot
... weakly
supervised ML, and point toward avenues
for future research.
1 Introduction
The automatic processing of scientific papers using
NLP and machine learning (ML) techniques is an
increasingly ... addressed in section 10.3.
In this study we develop a learning model based
around the concept of iteratively predicting labels
for unlabelled training samples, the basic paradigm
f...
Báo cáo khoa học: "Weakly Supervised Learning for Cross-document Person Name Disambiguation Supported by Information Extraction" potx
...
No_Sharing _for_ Age and
Conflict _for_ Affiliation]
}.
The induced features provide direct and fine-
grained information, but suffer from less sampling
space. Combining basic features and induced ... discretized
into integers. The number of integers being used
may impact the final performance of the system. If
the number is too small, significant information
may be lost during the...
Báo cáo khoa học: "Weakly Supervised Learning of Presupposition Relations between Verbs" pptx
... two phases:
1. Training the Classifiers We independently
train binary classifiers for each semantic re-
lation using both shallow and deep features.
2. Ensemble Learning and Ranking Each of
the five ... classifiers are combined using ensem-
ble learning techniques to determine the most
confident classification. The obtained list of
the classified instances is ranked using pat-
tern scores, i...
Báo cáo khoa học: "Semi-supervised Learning for Automatic Prosodic Event Detection Using Co-training Algorithm" doc
... significant performance gain according
to the size of initial labeled training data.
Finally we compared our co-training perfor-
mance with supervised learning. For supervised
learning, all labeled ... for the test
set are used for training. We used most confi-
dent selection with proposed self-labeling method.
The initial training data in co-training is 3% of
that used for sup...
Báo cáo khoa học: "Weakly Supervised Approaches for Ontology Population" docx
... appear in Corpus (in our experimen-
tal settings - at least twice). For example, for the
class “mountain” training examples are: “Ever-
est”, “Mauna Loa”, etc.
The algorithm learns from each training ... divided in
two classes, according to different use of train-
ing data: Unsupervised approaches (see (Cimi-
ano et al., 2005) for details) and supervised ap-
proaches which use ma...
Báo cáo khoa học: "Trainable Sentence Planning for Complex Information Presentation in Spoken Dialog Systems" pot
... domains. For example, the training
method used in SPoT (Sentence Planner Train-
able), as described in (Walker, Rambow and Ro-
gati, 2002), was only shown to work in the travel
domain, for the information ... trainable approach is
feasible by showing (1) that the training tech-
nique used for SPoT can be extended to a
new domain (restaurant information); (2) that
this technique, p...
Báo cáo khoa học: dehydrogenase from Arabidopsis thaliana, a flavoprotein involved in vitamin C biosynthesis pot
... histi-
dine involved in covalent FAD binding, but contains a leucine instead
(Leu56). Leu56 replacements did not result in covalent flavinylation but
revealed the importance of Leu56 for both FAD-binding ... targeting sequence
in plant GALDH (FR ⁄ YA). The asterisk (*) marks the histidine residue involved in covalent binding of the FAD cofactor in GUO, ALO and
GLO. The FAD-binding...
Báo cáo khoa học: "Weakly Supervised Part-of-Speech Tagging for Morphologically-Rich, Resource-Scarce Languages" potx
... created
by perturbing e). Wang and Schuurmans (2005)
improve an unsupervised HMM-based tagger by
constraining the learned structure to maintain
appropriate marginal tag probabilities and using
word similarities ... Bayesian inference for POS
tagging. However, their work departs from exist-
ing Bayesian approaches to POS tagging in that
they (1) introduce a new sparse prior on the dis-
tri...
Tài liệu Báo cáo khoa học: "Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria" ppt
... These indirect methods for
leveraging prior knowledge can be cumbersome
and unintuitive for a non-machine -learning expert.
This paper proposes a method for directly guid-
ing the learning of ... constraints
accuracy
Spanish (maximum length 60)
constraint baseline
GE
Figure 3: Comparing GE training of a CRF and constraint
baseline while increasing the number of oracle constraints...