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Semantic Convolutional published presentations and documents on DocSlides.

Redefining Perspectives

Redefining Perspectives

  • giovanna-bartolotta
  • 27 Slides

A thought leadership forum for technologists . in...

8 – Exceptional Memory (Savants and Amnesiacs)

8 – Exceptional Memory (Savants and Amnesiacs)

  • test
  • 56 Slides

Video: 60 Minutes segment (Part 1 only) - 13 min....

Translation

Translation

  • pamella-moone
  • 32 Slides

. Strategies. ETI 301. Translation. . Theory. N...

77 Massachusetts Ave., Cambridge, MA 02139, USA

77 Massachusetts Ave., Cambridge, MA 02139, USA

  • myesha-ticknor
  • 100 Slides

The Semantic Web Initiative envisions a Web where...

Segmentation from Examples

Segmentation from Examples

  • tatiana-dople
  • 66 Slides

By: A’laa . Kryeem. Lecturer: . Hagit. Hel-Or....

Trust

Trust

  • jane-oiler
  • 51 Slides

Amber McConahy. Trust. Multifaceted and . multidi...

Semantic Communication

Semantic Communication

  • yoshiko-marsland
  • 13 Slides

Madhu Sudan. (based on joint work with Brendan Ju...

Ontology Development and Usage for Protozoan Parasite Resea

Ontology Development and Usage for Protozoan Parasite Resea

  • conchita-marotz
  • 23 Slides

John A. Miller and Alok Dhamanaskar. Collaborator...

C. Lawrence

C. Lawrence

  • debby-jeon
  • 28 Slides

Zitnick. Microsoft Research, Redmond. larryz@micr...

Improving knowledge discovery from synthetic aperture radar

Improving knowledge discovery from synthetic aperture radar

  • calandra-battersby
  • 37 Slides

Charalampos Nikolaou. , Kostis Kyzirakos, Konstan...

Semantic Paradoxes

Semantic Paradoxes

  • luanne-stotts
  • 109 Slides

the barber. The Barber Paradox. Once . upon a tim...

Shrinking the silo boundary: data and schema in the Semanti

Shrinking the silo boundary: data and schema in the Semanti

  • calandra-battersby
  • 15 Slides

Gordon Dunsire. Presented at AKM . 16, . Poreč, ...

Creating a Similarity Graph from

Creating a Similarity Graph from

  • mitsue-stanley
  • 18 Slides

WordNet. Lubomir. . Stanchev. Example . Similari...

Identifying the tradeoffs in textual entailment: deep repr

Identifying the tradeoffs in textual entailment: deep repr

  • tatyana-admore
  • 28 Slides

Randy . Goebel. Alberta Innovates Centre for Mach...

Agreement with coordinate phrases: morphosyntactic versus semantic ide

Agreement with coordinate phrases: morphosyntactic versus semantic ide

  • ellena-manuel
  • 100 Slides

(1)a. [IPEgy fi

Materializing

Materializing

  • sherrill-nordquist
  • 484 Slides

the Web of Linked . Data. Nikolaos. Konstantinou...

Embodied construction grammar

Embodied construction grammar

  • stefany-barnette
  • 57 Slides

CSCTR Session 8. Dana . Retov. á. group at UC Be...

Learning Semantic String Transformations from Examples

Learning Semantic String Transformations from Examples

  • marina-yarberry
  • 66 Slides

Rishabh. Singh and . Sumit. . Gulwani. FlashFil...

Building Stylish Power

Building Stylish Power

  • stefany-barnette
  • 39 Slides

View Reports. Sean Boon. Senior Lead Program Mana...

Generating Query Substitutions

Generating Query Substitutions

  • pasty-toler
  • 24 Slides

Alicia Wood. What is the . problem. to be solved...

Memory IV

Memory IV

  • celsa-spraggs
  • 37 Slides

Memory Systems. Amnesia. Are there multiple LTM m...

SWIMs

SWIMs

  • mitsue-stanley
  • 26 Slides

: . From . Structured Summaries to Integrated Kno...

A SHORT GUIDE

A SHORT GUIDE

  • luanne-stotts
  • 65 Slides

TO THE MEANING-TEXT LINGUISTIC THEORY. JASMINA MI...

SQL Server Analysis Services

SQL Server Analysis Services

  • marina-yarberry
  • 32 Slides

Introduction to Tabular Mode and BISM. Josh Fenne...

Z 519: Information Analytics

Z 519: Information Analytics

  • yoshiko-marsland
  • 28 Slides

Introduction. Evaluation of Information System. A...

5. Semantics

5. Semantics

  • faustina-dinatale
  • 21 Slides

 . Reference. Semantic. . units. Equivalence. ...

Searching for Relevant Video Shots in BBC Rushes Using Semantic Web T

Searching for Relevant Video Shots in BBC Rushes Using Semantic Web T

  • myesha-ticknor
  • 100 Slides

Bradley P. Allen 1) and Valery A. Petrushin 2) 1)...

The Next Generation of SCORM:

The Next Generation of SCORM:

  • pamella-moone
  • 24 Slides

Innovation for the Global Force. Jonathan . Poltr...

The foundation for the APOSDLE approach is to not rely on specifically

The foundation for the APOSDLE approach is to not rely on specifically

  • conchita-marotz
  • 100 Slides

###### ### #### ##### #### #### ### #### Concept l...

different communities. Semantic integration has attracted a lot of att

different communities. Semantic integration has attracted a lot of att

  • test
  • 100 Slides

Much of the material from this section is drawn fr...

IE for Low-resource Languages

IE for Low-resource Languages

  • ellena-manuel
  • 37 Slides

Heng. . Ji. 2. Outline. Name Translation Mining....

VACNET: Extracting and analyzing non-trivial linguistic str

VACNET: Extracting and analyzing non-trivial linguistic str

  • giovanna-bartolotta
  • 25 Slides

Matthew Brook O’Donnell,. Nick C. Ellis, Ute . ...

Semantic Memory

Semantic Memory

  • calandra-battersby
  • 13 Slides

-concepts and facts. -several similar models desc...

Semantic / Lexical Typology:

Semantic / Lexical Typology:

  • calandra-battersby
  • 46 Slides

Verbs of Falling and Beyond. Katia. . Rakhilina....

ISO TC 37 Plenary –

ISO TC 37 Plenary –

  • marina-yarberry
  • 107 Slides

“SBVR v1.4 to become an ISO TC 37 Standard in S...

A Labeled LDA Approach to the Dynamics of Collaboration

A Labeled LDA Approach to the Dynamics of Collaboration

  • lindy-dunigan
  • 15 Slides

Nikhil Johri. CS 224N. 1. Motivating Questions. W...

Lexis:

Lexis:

  • alexa-scheidler
  • 20 Slides

Once upon a time: . vocabulary. .. Two advantages...

SCALABLE SEMANTIC WEB DATA MANAGEMENT USING VERTICAL PARTIT

SCALABLE SEMANTIC WEB DATA MANAGEMENT USING VERTICAL PARTIT

  • pamella-moone
  • 52 Slides

By –. Sneha. . Godbole. Introduction. What is ...

-grained examination of lexical semantic details, but it remains to be

-grained examination of lexical semantic details, but it remains to be

  • pasty-toler
  • 100 Slides

a. Anna:

Semantic Heuristic Localization

Semantic Heuristic Localization

  • conchita-marotz
  • 15 Slides

TerraSwarm Localization Workshop. Ann Arbor, MI. ...

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