extract precise link context using nlp parsing
TRANSCRIPT
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Marathwada Mitra Mandal College of Engineering,
Pune.
Seminar On
Extract Precise Link Context Using NLP Parsing Technique
By
Sanjay MateGuided By
Mrs. Namrata AundhakarSemester VI-Information Technology
2010-11
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Agenda of seminar
Introduction
Terms and Keywords
Related Work
Experimental Reading &Result
Application
Conclusion
Queries
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TERM
Link Context
NLP Parsing
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Link Context
Context Links are a quick and convenient way to
add links in website.
Context Links automatically identify & links
relevant phrases within your page content
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NLP
Language
How it worksApplications
Achievements
Challenges
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Parsing
Parser needs to handle ambiguity in language.
This may range from calculating & retaining all
combinatorial possible structure allowed by
grammar to discarding all but one possibility; by
pruning either on probabilistic evidence orpsycholinguistic evidence.
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Parsing
Grammatical Approach :
Tree Adjoining Grammar,Categorical Grammar,
Dependency Grammar,
Transformatical Grammar,
Phrase Structure Grammar,
Govt Binding/principles and parameters.
.
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Parsing
Control Strategy
Right-to-Left bottom up- data driven modeLeft-to-Right top down- exception driven mode
Breadth First searchDepth First search. exploration of its search space
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Parsing
dumped sacks into a bin
V[dump]
VP[dump][sack]
NP[sack]
N[sack]
P[into]
N[bin]Det[a]
NP[bin]
PP[into][bin]
VP[dump][sack]
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Related Work: Anchor Text Based Method
A schema is proposed on how to accurately valuate the
relevance of the unvisited pages to a given topic.
Four policies are introduced on predicting the relevance ofWeb pages to a topic.
The combinations of those policies are used to improve the
Shark-Search.
A large number of experiments were carried out to identify theoptimized combinations and verify the effectiveness of the
improved Shark-Search algorithm.
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Related Work: G.Pants Based Method
It uses link analysis algorithm i.e. HITS (Hyper Link Induced
Topic search) algorithm developed by Jon Kleinberg.
Page is called an authority for the query "automobile makers"if it contains valuable information on the subject.
There is a second category of pages relevant to the process of
finding the authoritative pages, called hubs.
It ranks the seed nodes according to their authority and hubweights. The highest ranking pages are displayed to the user
by the query engine.
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Related Work: NLP Based Parsing Method
Identify the content cohesive text region in which the
anchor tag occurs.
In this text region, browse the surrounding text
around the anchor, often in the same sentence.
Refer to the nearest preceding heading text, if
necessary.
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Experimental Reading
source: www.ieeexplore.comsource: www.ieeexplore.com
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Experimental Results
For all 3 available methods
source: www.ieeexplore.com
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Application
Machine Translation
Information Retrieval
Information Extraction
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Example:
A research on using Link Context Grammar in theanalysis of air investigation incident reports is reported in
Canada. The research proposed machine learning approachto domain specific sentence classification as a first steptowards report matching.
A structured case representation at the sentence levelis created using LG Parser and Wordnet, a free lexicaqon.
The approach was demonstrated on Air InvestigationReports corpus available from the Transportation SafetyBoard of Canada to retrieve the fact based on multiplefactors such as weather conditions, aircraft type,geographical location or cause of the incident.
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Application
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Conclusion
Textual information, URL addresses and link structure. These
improvements enable to collect the best pages early bypredicting the relevance of unseen pages to the topic more
accurately.
Link grammar parsing can handle many syntactic structures
and is computationally relatively efficient.
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Thank You!