Explore
Upload

DocSlides is a free service to upload presentations and documents.

Upload Now

Search Results for 'Type Semantic'

Type Semantic published presentations and documents on DocSlides.

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 . ...

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...

-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. ...

Music Information Retrieval (MIR)

Music Information Retrieval (MIR)

  • natalia-silvester
  • 100 Slides

-Semantic Information-MP3 Tag : Title, Artist, Alb...

Less is more

Less is more

  • briana-ranney
  • 43 Slides

Approaches to . biologist-driven analysis . and ....

Building a Semantic Parser Overnight

Building a Semantic Parser Overnight

  • phoebe-click
  • 25 Slides

Yushi. . Wang Jonathan . Berant. Percy ...

RDA and the semantic Web

RDA and the semantic Web

  • alida-meadow
  • 32 Slides

Lectio. . magistralis. in Library Science. b. y...

Enforcing Policies and Guidelines in Web Portals: A Case St

Enforcing Policies and Guidelines in Web Portals: A Case St

  • min-jolicoeur
  • 23 Slides

Siim Karus. Faculty of Mathematics and Computer S...

Seriously creative writing: Tracing creativity in professio

Seriously creative writing: Tracing creativity in professio

  • tatyana-admore
  • 12 Slides

Sky Marsen. University of Southern California. ma...

A Semantic Characterization of Unbounded-Nondeterministic A

A Semantic Characterization of Unbounded-Nondeterministic A

  • tatiana-dople
  • 46 Slides

Andreas . Glausch. and Wolfgang . Reisig. 1. Som...

Analysis and Evolution of Journaling File Systems

Analysis and Evolution of Journaling File Systems

  • yoshiko-marsland
  • 23 Slides

By: . Vijayan. . Prabhakaran. , Andrea and . R...

Old Approaches, New Perspectives

Old Approaches, New Perspectives

  • alida-meadow
  • 122 Slides

:. . The . implications . of a corpus linguistic...

Phenotype And Trait Ontology (PATO)

Phenotype And Trait Ontology (PATO)

  • tawny-fly
  • 20 Slides

and plant phenotypes. George . Gkoutos. Phenotyp...

Components for a semantic textual similarity system

Components for a semantic textual similarity system

  • karlyn-bohler
  • 20 Slides

Focus on . word and sentence . similarity. Formal...

Cognitive Illusions Amongst the High Achieving

Cognitive Illusions Amongst the High Achieving

  • liane-varnes
  • 39 Slides

Akash Adani, Brian Hou, Sabrina Jordan, Juliana K...

FrameNet

FrameNet

  • alexa-scheidler
  • 43 Slides

, . PropBank. , . VerbNet. Rich Pell. FrameNet. ,...

Semantic Grammar

Semantic Grammar

  • faustina-dinatale
  • 18 Slides

CSCI-GA.2590 – Lecture 5B. Ralph . Grishman. NY...

Evaluating

Evaluating

  • marina-yarberry
  • 26 Slides

. the. . emiprical. . evidence. . Grounds. ....

The comparability of similar inferential meanings across la

The comparability of similar inferential meanings across la

  • conchita-marotz
  • 31 Slides

Re-thinking synonymy: semantic sameness and simil...

Results: Prominence prediction without lexical information

Results: Prominence prediction without lexical information

  • liane-varnes
  • 4 Slides

. Each type of feature reduces the error rate ov...

Semantic similarity, vector space models and word-sense dis

Semantic similarity, vector space models and word-sense dis

  • pamella-moone
  • 36 Slides

Corpora and Statistical Methods. Lecture 6. Seman...

UrbanVis

UrbanVis

  • lindy-dunigan
  • 29 Slides

Dr. Jean-Claude . Thill. , Knight Distinguished P...

Unified Digital Format Registry (UDFR)

Unified Digital Format Registry (UDFR)

  • faustina-dinatale
  • 25 Slides

Overview and Next Steps to an Operational Registr...

Semantic-basedIndexingofFetalAnatomiesfrom3-DUltrasoundDataUsingGlobal

Semantic-basedIndexingofFetalAnatomiesfrom3-DUltrasoundDataUsingGlobal

  • marina-yarberry
  • 100 Slides

1 .1.IntroductionTheforemostphysiciansandresearche...

A semantic treatment for Cantonese anomic individuals with different

A semantic treatment for Cantonese anomic individuals with different

  • debby-jeon
  • 100 Slides

1 Anomia is one of the most common featurbrain inj...

Probabilistic inference

Probabilistic inference

  • liane-varnes
  • 21 Slides

in human semantic memory. Mark . Steyvers. , Toma...

Lessons learned within international collaboration in the a

Lessons learned within international collaboration in the a

  • alida-meadow
  • 24 Slides

Gábor. KAPOSI – MTA SZTAKI. Tibor. SZKALICZK...

Enjoy Your Future

Enjoy Your Future

  • cheryl-pisano
  • 27 Slides

- Culture (1). Carmen Li. from Hong Kong SAR, Chi...

semantic core

semantic core

  • karlyn-bohler
  • 100 Slides

the AAs while getting enough support from tlie ...

Semantics

Semantics

  • tawny-fly
  • 18 Slides

The study of meaning. Meaning. How do we define m...

Semantic Role Labeling

Semantic Role Labeling

  • giovanna-bartolotta
  • 53 Slides

Presented to LING-7800. Shumin Wu. Prepared by Le...

Identifying Semantic Differences in AspectJ Programs

Identifying Semantic Differences in AspectJ Programs

  • ellena-manuel
  • 25 Slides

Martin G. ö. rg and Jianjun Zhao. Computer Scien...

systematic theta-role list. We present the annotation tools built and

systematic theta-role list. We present the annotation tools built and

  • alida-meadow
  • 100 Slides

independent semantic expressions, it is difficult ...

1 Learning Natural Language from its Perceptual Context

1 Learning Natural Language from its Perceptual Context

  • conchita-marotz
  • 54 Slides

Ray Mooney. Department of Computer Science. Unive...

Panning for Gold: Finding Relevant Semantic Content for Gro

Panning for Gold: Finding Relevant Semantic Content for Gro

  • danika-pritchard
  • 6 Slides

David. L. Chen and . Raymond. J. Mooney. The Un...

Grounded Language Learning Models for Ambiguous

Grounded Language Learning Models for Ambiguous

  • kittie-lecroy
  • 98 Slides

Supervision. Joohyun. Kim. Supervising Professor...

Dense semantic image segmentation with objects and attribut

Dense semantic image segmentation with objects and attribut

  • sherrill-nordquist
  • 13 Slides

Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, P...

Gradual Programming: Bridging the Semantic Gap

Gradual Programming: Bridging the Semantic Gap

  • alida-meadow
  • 15 Slides

Bor-Yuh. Evan Chang. . Amer. . Diwan. Jer...

Copyright © 2024 DocSlides. All Rights Reserved