'Word based' diaporamas de présentation

NAME TAGGING

NAME TAGGING. Heng Ji jih@rpi.edu September 23, 2014. Introduction. IE Overview Supervised Name Tagging Features Models Advanced Techniques and Trends Re-ranking and Global Features ( Ji and Grishman , 05;06) Data Sparsity Reduction ( Ratinov and Roth, 2009; Ji and Lin, 2009).

912 views • 81 slides

Fine-Grained Soft Semantic Constraints

486 views • 37 slides

Linguistically-motivated Tree-based Probabilistic Phrase Alignment

Linguistically-motivated Tree-based Probabilistic Phrase Alignment. Toshiaki Nakazawa, Sadao Kurohashi (Kyoto University). Outline. Background Tree-based Probabilistic Phrase Alignment Model Model Training Symmetrization Algorithm Experiments Conclusions. Background.

485 views • 37 slides

The MEI Team August 2, 2000

Mandarin-English Information (MEI): Investigating Translingual Speech Retrieval Johns Hopkins University Center of Language and Speech Processing Summer Workshop 2000 Progress Update. The MEI Team August 2, 2000. Outline. Baseline (Pat, Gina, Wai-Kit) Upper Bounds (Pat, Erika, Helen)

333 views • 22 slides

A general compression algorithm that supports fast searching

310 views • 21 slides

A general compression algorithm that supports fast searching

289 views • 21 slides

Intersystem Relations: Characteristics and Functionalities

222 views • 21 slides

LIN 1310B Introduction to Linguistics

CLASS 5, Jan 19, 2007. LIN 1310B Introduction to Linguistics. Prof: Nikolay Slavkov TA: Qinghua Tang. Today. Announcements and Reminders: -attendance will be taken in ALL DGDs; and ocassionally in lectures. -continue reading Chapter 4 (read at least until p.108).

368 views • 20 slides

Making Object-Based STM Practical in Unmanaged Environments

Making Object-Based STM Practical in Unmanaged Environments. Torvald Riegel and Diogo Becker de Brum ( Dresden University of Technology, Germany). Background: Word-based or Object-based?. Choice depends on the workload and on tuning quality

275 views • 18 slides

Warm-Up: 9/14

Warm-Up: 9/14. Add the correct punctuation to the following excerpt. There needs to be 1 apostrophe, 1 semicolon, 1 colon, 2 periods, and 6 commas:

182 views • 18 slides

Aparna Kulkarni Nachal Ramasamy Rashmi Havaldar

N-grams to Process Hindi Queries. Aparna Kulkarni Nachal Ramasamy Rashmi Havaldar. Topics. Introduction N-gram strategies Transliteration Methodology Document Preparation Hand Transliteration Number of N-grams & Choice of N Ranking & Retrieval. Summary. Abstract.

347 views • 17 slides

Automatic Data Partitioning in Software Transactional Memories

Automatic Data Partitioning in Software Transactional Memories. Torvald Riegel, Christof Fetzer, Pascal Felber (TU Dresden, Germany / Uni Neuchatel, Switzerland). No one-size-fits-all TM!. STMs: Design: Invisible vs. visible reads Object-based vs. word-based Parameters:

292 views • 16 slides

Design of artificial languages to study language perception and its evolutionary origins

Design of artificial languages to study language perception and its evolutionary origins. Matthew G. Collison. Initial aims. My initial aims for the study were: Develop an artificial language that behaviourally tests specific components of language perception.

254 views • 12 slides