Báo cáo khoa học: "Weakly Supervised Learning for Cross-document Person Name Disambiguation Supported by Information Extraction" potx
Báo cáo khoa học: "Weakly Supervised Learning for Hedge Classification in Scientific Literature" pot
... such ideas can be adapted for this task is
one of many avenues for future research.
10.6 Error Analysis
Some errors are due to the variety of hedge forms.
For example, the learning models were unsuccess-
ful ... weakly supervised
machine learning. Our contributions include
a precise description of the task with anno-
tation guidelines, analysis and discussion,
a probabilistic weakl...
Báo cáo khoa học: "Weakly Supervised Learning for Cross-document Person Name Disambiguation Supported by Information Extraction" potx
... Weakly Supervised Learning for Cross-document Person Name
Disambiguation Supported by Information Extraction
Cheng Niu, Wei Li, and Rohini K. ... subject to name
ambiguity. This paper focuses on cross-document
disambiguation of person names.
Previous research for cross-document name
disambiguation applies vector space model (VSM)
for context ... presid...
Báo cáo khoa học: "Weakly Supervised Learning of Presupposition Relations between Verbs" pptx
... basis for finding and further
discriminating more detailed semantic relations.
3 A Weakly Supervised Approach to
Learning Presupposition Relations
We describe a weakly supervised approach for
learning ... in context. For this purpose we randomly
selected 10 instances for each verb pair type (for
rare verb pair types only 5). We compared the gold
standards elaborated by the s...
Báo cáo khoa học: "Semi-supervised Learning for Automatic Prosodic Event Detection Using Co-training Algorithm" doc
... data.
Finally we compared our co-training perfor-
mance with supervised learning. For supervised
learning, all labeled utterances except for the test
set are used for training. We used most confi-
dent ... an
accuracy of 84% for accent, 71% for IPB, and
84% for break index detection at the syllable
level. Chen et al. (2004) used a Gaussian mix-
ture model for acoustic-proso...
Báo cáo khoa học: "Weakly Supervised Approaches for Ontology Population" docx
... to better performance. Feature weights can
be calculated either by Machine Learning algo-
rithms (Fleischman and Hovy, 2002) or by statisti-
cal measures, like Point Wise Mutual Information
or ... denot-
ing Named Entities. The motivation behind this
choice is the practical value of Named Entity clas-
sifications, as, for instance, in applications such as
Questions Answering and Inf...
Báo cáo khoa học: "Weakly Supervised Part-of-Speech Tagging for Morphologically-Rich, Resource-Scarce Languages" potx
... data labeled with POS information.
Rather, an unsupervised POS tagger operates by
only assuming as input a POS lexicon, which con-
sists of a list of possible POS tags for each word.
As we can ... to unsupervised
POS tagging, namely, induced suffix emission and
discriminative prediction.
4.1 Induced Suffix Emission
For morphologically-rich languages like Bengali,
a lot of grammatical i...
Tài liệu Báo cáo khoa học: "Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria" ppt
... David Smith for helpful discussions. This work
was completed in part while Gregory Druck was an intern
at Google. This work was supported in part by the Center
for Intelligent Information Retrieval, ... Experimental Comparison with
Unsupervised Learning
In this section we compare GE training with meth-
ods for unsupervised parsing. We use the WSJ10
corpus (as processed by Smit...
Tài liệu Báo cáo khoa học: "Semi-Supervised Learning of Partial Cognates using Bilingual Bootstrapping" doc
... 2006.
c
2006 Association for Computational Linguistics
Semi -Supervised Learning of Partial Cognates using
Bilingual Bootstrapping
Oana Frunza and Diana Inkpen
School of Information Technology ... cognate in
context can be useful for Machine Trans-
lation tools and for Computer-Assisted
Language Learning tools. In this paper
we propose a supervised and a semi-
super...
Tài liệu Báo cáo khoa học: "Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora" ppt
... tasks such as information distillation and
question answering. Most successful approaches
to NER employ machine learning techniques,
which require supervised training data. However,
for many languages, ... time distributions for
information extraction, in general, and NE extrac-
tion, in particular, is not new. (Hetland, 2004)
surveys recent methods for scoring time sequences
f...