Báo cáo khoa học: "Unsupervised Learning of Semantic Relation Composition" ppt
Báo cáo khoa học: "Unsupervised Learning of Semantic Relation Composition" ppt
... composition of semantic relations.
The proposed CSR algorithm obtains inference ax-
ioms that take as their input semantic relations and
output a relation previously ignored. Regardless of
the set of relations ... argument of
talk
.
4 Case Study
In this Section, we apply the CSR algorithm over a
set of eight well-known relations. It is out of the
scope of this paper to exp...
Báo cáo khoa học: "Unsupervised Learning of Narrative Event Chains" pptx
... related notion of protag-
onist overlap to motivate narrative chain learning.
Work on semantic similarity learning such as
Chklovski and Pantel (2004) also automatically
learns relations between ... of the event and the
typed dependency of the protagonist: (event, depen-
dency). A narrative chain is a set of narrative events
{e
1
, e
2
, , e
n
}, where n is the size of the cha...
Báo cáo khoa học: "Unsupervised Learning of Acoustic Sub-word Units" pot
... France
emmanuel.dupoux@gmail.com
Abstract
Accurate unsupervised learning of phonemes
of a language directly from speech is demon-
strated via an algorithm for joint unsupervised
learning of the topology and parameters of
a hidden Markov ... im-
provement in the efficacy of the SSS algorithm as
described in Section 2. It is based on observing
that the improvement in the goodness...
Báo cáo khoa học: "Unsupervised Learning of Arabic Stemming using a Parallel Corpus" pot
... indicates an
improvement of 22-38% in average pre-
cision over unstemmed text, and 96% of
the performance of the proprietary stem-
mer above.
1 Introduction
Stemming is the process of normalizing word ... two examples use the joint probability
of the prefix and suffix, with a smoothing back-off
(the product of the individual probabilities). Scor-
ing models of this form proved to...
Báo cáo khoa học: "Unsupervised Learning of Dependency Structure for Language Modeling" potx
... Unsupervised Learning of Dependency Structure for Language Modeling
Jianfeng Gao
Microsoft Research, Asia
49 Zhichun Road, Haidian District
Beijing 100080 China
jfgao@microsoft.com
Hisami ... the number of pa-
rameters of the combined model manageable. To
overcome the second obstacle, we used an unsu-
pervised learning method that discovers the de-
pendency structure of a g...
Báo cáo khoa học: "Unsupervised Learning of Narrative Schemas and their Participants" potx
... the narrative chain model.
2.2 Semantic Role Labeling
The task of semantic role learning and labeling
is to identify classes of entities that fill predicate
slots; semantic roles seem like they’d ... focused on shal-
lower representations like semantic roles, which
express at least one aspect of the semantics of
events and have proved amenable to supervised
learning from co...
Báo cáo khoa học: "Unsupervised Learning of Field Segmentation Models for Information Extraction" pot
... consists of de-
scriptions of attributes of an item or offer, and a set
of ads for similar items share the same attributes. In
these cases, the fields present a salient, intrinsic form
of linguistic ... range of linguistic phe-
nomena in text, including morphology, parts -of-
speech (POS), named entity mentions, and even
topic changes in discourse. An HMM consists of
a set of...
Báo cáo khoa học: "Global Learning of Typed Entailment Rules" ppt
... helps
disambiguate them and so the problem of ambiguity
is greatly reduced.
4 Learning Typed Entailment Graphs
Our learning algorithm is composed of two steps:
(1) Given a set of typed predicates and their ... restrict the size of graphs we can
work with. The number of constraints is O(n
3
),
and solving graphs of size > 50 is often not feasi-
ble. To overcome this, we take...
Báo cáo khoa học: "Joint Learning Improves Semantic Role Labeling Kristina Toutanova Dept of Computer Science Stanford " pot
... labels of the semantic argu-
ment nodes of a verb. A drawback of local models
is that, when they decide the label of a parse tree
node, they cannot use information about the labels
and features of ... positions of the la-
beled phrases, we recognize that each plays the same
589
role – indicated by the label – in the meaning of
this sense of the verb give. We call such phrase...
Tài liệu Báo cáo khoa học: "Automatic learning of textual entailments with cross-pair similarities" ppt
... ex-
amples of the previous section. From the point of
view of bag -of- word methods, the pairs (T
1
, H
1
)
and (T
1
, H
2
) have both the same intra-pair simi-
larity since the sentences of T
1
and ... rules that describe a non trivial set
of entailment cases. The experiments with
the data sets of the RTE 2005 challenge
show an improvement of 4.4% over the
state -of- the-art me...