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CLiPS 2015

CLiPS 2015. Research Activities Computational Psycholinguistics – TOP (Robert, Giovanni) – FWO Spelling (Nina) Natural Language Understanding – IWT PhD

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Page 1: CLiPS 2015. Research Activities Computational Psycholinguistics – TOP (Robert, Giovanni) – FWO Spelling (Nina) Natural Language Understanding – IWT PhD

CLiPS 2015

Page 2: CLiPS 2015. Research Activities Computational Psycholinguistics – TOP (Robert, Giovanni) – FWO Spelling (Nina) Natural Language Understanding – IWT PhD

Research Activities

• Computational Psycholinguistics– TOP (Robert, Giovanni)– FWO Spelling (Nina)

• Natural Language Understanding– IWT PhD (Elyne)

• Stylometry+– FWO PhD (Ben)– AMiCA (Janneke, Chris, Guy)– FWO postdoc (Mike)– FWO project peerle (Renske)– FWO project (Lisa?)

• Textgain (Guy, Tom)

Page 3: CLiPS 2015. Research Activities Computational Psycholinguistics – TOP (Robert, Giovanni) – FWO Spelling (Nina) Natural Language Understanding – IWT PhD

Research Activities: Proposals

• Computational Psycholinguistics– TOP (Robert, Giovanni) [Steven]– FWO Spelling (Nina) [Dominiek]

• Natural Language Understanding– IWT PhD (Elyne) [Biomina]

• Stylometry+– FWO PhD (Ben)– AMiCA (Janneke, Chris, Guy)– FWO postdoc (Mike)– FWO project peerle (Renske) [Ruusbroec]– FWO project (Lisa?) [Reinhild]

• Textgain (Guy, Tom)

TOP Proposal Inference

SBO Proposal Accumulate

Marie Curie Proposal Stylometry

EU Proposal Language Creativity

ERC Proposal Mike

Page 4: CLiPS 2015. Research Activities Computational Psycholinguistics – TOP (Robert, Giovanni) – FWO Spelling (Nina) Natural Language Understanding – IWT PhD

Project CTheory of Consciousness

• Mind is what brain does• Theory of consciousness– Should say what experience is– Should say what type of physical systems (can)

have it• Complexity• Information• Integration• Communication

– Confabulation

Page 5: CLiPS 2015. Research Activities Computational Psycholinguistics – TOP (Robert, Giovanni) – FWO Spelling (Nina) Natural Language Understanding – IWT PhD

Project C• LTM: Large associative network, dynamically updated using

natural language understanding– biographical memory

• Emotions based on external factors (processor load, free memory, network strength, sentiment of mined knowledge, …)

• Text and Style (personality) generation• Attention and STM

– Parallel pockets of activity competing for attention– (Minsky: Society of Mind)

• Long Term goals and intentions (‘eat’ knowledge, klone, …)• Output:

– Stream of consciousness generation, communication

Page 6: CLiPS 2015. Research Activities Computational Psycholinguistics – TOP (Robert, Giovanni) – FWO Spelling (Nina) Natural Language Understanding – IWT PhD

CLiPS Organization

• Changes needed?– Lab meeting– Presentation skills training– Code camps (internal / external)• Schedule them & form teams !• Shared tasks

– Organizational issues– Who will (please) start using the robots?– …