New Approaches at Natural Language Processing Systems Zoltán ANDREJKOVICS WWW.ANDZOL.COM 2008

What is the basic problem of NLP?

モナリザ Mona Lisa With a little input

The system should find out more

There are 4 language area which are problematic

 Translation I love dogs. Ich liebe die Hunden.

 Information retrieval

 Understanding ≠ apple apple

 Searching for relations

How can we improve our NLP systems?

Review our current NLP tools

Review our current NLP tools

 Find out why people are able to do more?

 Current NLP systems Translation Understanding Realtion searching

A szakértők szerint ez a legnagyobb az eddig felfedezett kígyók között… According to these experts, it is the largest so far discovered in snakes … (hungarian news site)

Kikerült az App Store-ba a Ustream mobilalkalmazása … Removed from the App Store into the mobile Ustream … Ustream Viewer Added to App Store …

 Doesn’t understand the sentences, not searching relations  Hard to define language with rules  Google translation is stiff, language is flexible

A word explanation system by Viktor GYENES ≠

Frog? Horse, Toad, Monkey, Smile

Frog?

A word explanation system  Not broad functionality  No option to learn

Numenta HTM H ierarchical T emporal M emory

Searching pattern Searching pattern Searching pattern Searching pattern

Letters Words Expressions Abstract expressions

Letters Words Expressions Abstract expressions Aggregation

 Hard to fit on NLP issues  Hard to find out the aggregation algorith HTM

 Human knowledge and intelligence

What are the characteristics, that makes us a „ human ”?

Feelings

Motivation

Continual learning (experience)

When do we learn new things?

People want to make their world predictable

Situation Situation Expectation right wrong

If the expactation was wrong , we want to figure out another theory of the world.

After the review, I found some new principles

Knowledge depends on the person Database replaceable not replaceable Individual knowledge bases

Többfunkciós tudás „ analógiák” „ I bought a new tool …” „ I bought a new computer” a new machine, a new instrument, a new engine, a new camera, a new airplane etc. It means not Right understanding

Our knowledge fits to the problem, and not vica versa Right understanding

Information exchange When we eat? Sharing thoughts

Repeation, confirmation, exprimentation learning using knowledge learning using knowledge Continual learning

Motivation Unversal learning Synergy Proper motivation system Learning from any source Learning new things don’t slow the sytem

Next steps?

Finding new ways of storing data (knowledge) database, ontology, network

Find out how do we learn? statistical models, braing , algorithm

Semantic writing <item> Cat </item> <item rdf:type=&quot;animal&quot; > Cat </item>

System that realize what we want to do

Some good starts

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