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The Problem with Probabilistic Parsing

The Problem with Probabilistic Parsing

The Problem with Probabilistic Parsing. Kari Baker Arizona State University. What Will We Be Learning Today?. Creating a Model Text Normalization POS Constraints Phrase Constraints Bake-Off Results SNoW Reranker Other. The Task i2b2 Bake-Off Concepts Parsing

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522 views • 43 slides
Agile Technologies for Personalizing Instruction

Agile Technologies for Personalizing Instruction

Agile Technologies for Personalizing Instruction. Faisal Ahmad, Sebastian de la Chica, Qianyi Gu, Shaw Ketels, Ifi Okoye Tammy Sumner, Jim Martin, Alice Healy, Kirsten Butcher, Michael Wright Digital Learning Sciences University of Colorado at Boulder

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427 views • 22 slides
ASSOCIATIVE BROWSING

ASSOCIATIVE BROWSING

ASSOCIATIVE BROWSING. Evaluating. by Simulation. Jin Y. Kim / W. Bruce Croft / David Smith. What do you remember about your documents?. Registration. James. James. Use search if you recall keywords!. What if keyword search is not enough?. Registration.

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244 views • 17 slides
Use of Ranked Cross Document Evidence Trails for Hypothesis Generation

Use of Ranked Cross Document Evidence Trails for Hypothesis Generation

Use of Ranked Cross Document Evidence Trails for Hypothesis Generation. Presenter : Jiang-Shan Wang Authors : Rohini K. Srihari, Li Xu, Tushar Saxena. ???????? National Yunlin University of Science and Technology. SIGKDD 2008. Outline. Motivation Objective Methodology Experiments

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236 views • 12 slides
Developing a Concept Extraction Technique with

Developing a Concept Extraction Technique with

Developing a Concept Extraction Technique with Ensemble Pathway Prat Tanapaisankit (NJIT), Min Song (NJIT), and Edward A. Fox (Virginia Tech). Training Data 1748 tuples 6000 sentences from the Ensemble Pathway and the web as positive examples.

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128 views • 1 slides

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