'Semantic categories' diaporamas de présentation

PSY 369: Psycholinguistics

1.18k views • 102 slides

Semi-automatic methods for WordNet construction

1.14k views • 83 slides

LING / C SC 439/539 Statistical Natural Language Processing

LING / C SC 439/539 Statistical Natural Language Processing. Lecture 23 4 /10/2013. Recommended reading. Zellis Harris. 1954. From phoneme to morpheme.

904 views • 74 slides

Scene Classification: Computational and Cognitive Approaches

Scene Classification: Computational and Cognitive Approaches. Hamed Kiani. Introduction. OUTLINE. Background. Scene Classification. Conclusion. Introduction. Scene

775 views • 53 slides

Designing an Elicitation Corpus with Semantic Representations

Designing an Elicitation Corpus with Semantic Representations. Simon Fung Advisor: Lori Levin August 2006. Overview. motivation elicitation corpus constraints issue: definiteness status. Corpus example. Was there an apple? Wasn't there an apple? Will there be an apple?

411 views • 41 slides

Terminology in the Medical Domain

629 views • 39 slides

398 views • 27 slides

Visualizing Implicit Queries for Information Management and Retrieval

Visualizing Implicit Queries for Information Management and Retrieval. ACM:CHI99, May20 1999. Mary Czerwinski, Microsoft Research Susan Dumais, Microsoft Research George Robertson, Microsoft Research Susan Dziadosz, UMichigan/Microsoft Scott Tiernan, UWashington/Microsoft Res

406 views • 25 slides

Modality

Modality. Lecture 10. Language is not merely used for conveying factual information . A speaker may wish to indicate a degree of certainty to try to influence other people in various ways (authority/submission, permission, make people do things or stop them from doing things). .

1.53k views • 25 slides

Knowledge Representation and Indexing Using the Unified Medical Language System

375 views • 23 slides

Auto-grouping Emails for Faster eDiscovery

364 views • 23 slides

Answer Spotting

Answer Spotting. Herbert Gish and Owen Kimball June 11, 2002. Project Goals. Primary Objectives Develop answer-spotting technology to provide analysts with best answers available from a spontaneous speech database

346 views • 21 slides

Mining the Biomedical Research Literature

Mining the Biomedical Research Literature. Ken Baclawski. Data Formats. Flat files. Spreadsheets. Relational databases. Web sites. XML Documents. Flexible very popular text format Self-describing records. XML Documents (continued). Hierarchical structure. Ontologies.

334 views • 21 slides

AQUAINT: Answer Spotting Application

AQUAINT: Answer Spotting Application. Herbert Gish, Rukmini Iyer and Chia-Lin Kao. Overview. Project Goals Answer-Spotting Problem Description Query Formation Technical Approach Choice of Corpora System Architecture & Components Long-Term Application Features Portability across languages

326 views • 20 slides

A Study of Semi-Discrete Matrix Decomposition for LSI in Automated Text Categorization

A Study of Semi-Discrete Matrix Decomposition for LSI in Automated Text Categorization. Wang Qiang, Wang Xiaolong, Guan Yi (HIT) IJCNLP. March, 23, 2004. Plan of talk. A representation of a new text categorization technique based on:

331 views • 20 slides

High Resolution Statistical Natural Language Understanding: Tools, Processes, and Issues.

High Resolution Statistical Natural Language Understanding: Tools, Processes, and Issues. Roberto Pieraccini SpeechCycle roberto@speechcycle.com. Please choose one of the following: account balance , fund transfer , payments , mortgage rates. Account balance.

301 views • 17 slides

MossTalk Training for Word Retrieval Across Semantic Categories

MossTalk Training for Word Retrieval Across Semantic Categories Tiffany Johnson, Erin Todd, & Anastasia Raymer* Old Dominion University, Norfolk VA; *Brain Rehabilitation Research Center, Gainesville, FL. ABSTRACT. METHODS. RESULTS.

69 views • 1 slides