'Semantic role labeling' diaporamas de présentation

Computational Semantics

Computational Semantics . Ling 571 Deep Processing Techniques for NLP February 7, 2011. Roadmap. Computational Semantics AI-completeness More tractable parts Lexical Semantics Word Sense Disambiguation Semantic Role Labeling Resources Meaning Representation

1.13k views • 89 slides

Sequence Labeling

Sequence Labeling. Raymond J. Mooney University of Texas at Austin. Beyond Classification Learning. Standard classification problem assumes individual cases are disconnected and independent (i.i.d.: independently and identically distributed).

1.06k views • 85 slides

Sequence Labeling

Sequence Labeling. Raymond J. Mooney University of Texas at Austin. Beyond Classification Learning. Standard classification problem assumes individual cases are disconnected and independent (i.i.d.: independently and identically distributed).

1.34k views • 85 slides

Constraints Driven Learning for Natural Language Understanding

Constraints Driven Learning for Natural Language Understanding. Dan Roth Department of Computer Science University of Illinois at Urbana-Champaign. With thanks to: Collaborators: Scott Yih, Ming-Wei Chang, James Clarke, Dan Goldwasser ,

682 views • 57 slides

Natural Language Processing

655 views • 56 slides

600.465 Connecting the dots - II (NLP in Practice)

569 views • 47 slides

Multiclass Classification in NLP

Multiclass Classification in NLP. Name/Entity Recognition Label people, locations, and organizations in a sentence [PER Sam Houston] ,[born in] [LOC Virginia] , [was a member of the] [ORG US Congress] . Decompose into sub-problems

551 views • 46 slides

Learning and Global Inference with Constraints

Learning and Global Inference with Constraints. Dan Roth Department of Computer Science University of Illinois at Urbana-Champaign. With thanks to:

508 views • 42 slides

Reproducible Computational Experiments

Reproducible Computational Experiments. Mark Liberman University of Pennsylvania http://ling.upenn.edu/~myl. Reproducible (?) Replicable Computational Experiments. Mark Liberman University of Pennsylvania http://ling.upenn.edu/~myl.

1.1k views • 36 slides

Syntactic and semantic models and algorithms in Question Answering

Syntactic and semantic models and algorithms in Question Answering. Alexander Solovyev Bauman Moscow Sate Technical University a-soloviev@mail.ru. Agenda. Question Answering and Answer Validation task Answer Validation via Recognizing Text Entailment

426 views • 28 slides

Applications of Markov Logic

Applications of Markov Logic. Basics Logistic regression Hypertext classification Information retrieval Entity resolution Hidden Markov models. Information extraction Statistical parsing Semantic processing Bayesian networks Relational models Practical tips. Overview. Programs Infer

482 views • 27 slides

STUDENT RESEARCH SYMPOSIUM 2005

341 views • 20 slides

Advanced Topics

204 views • 8 slides