Language classification

Results: 982



#Item
91Assigning Deep Lexical Types Using Structured Classifier Features for Grammatical Dependencies Jo˜ao Silva University of Lisbon Dept. Informatics, Faculty of Sciences Campo Grande, Lisboa, Portugal

Assigning Deep Lexical Types Using Structured Classifier Features for Grammatical Dependencies Jo˜ao Silva University of Lisbon Dept. Informatics, Faculty of Sciences Campo Grande, Lisboa, Portugal

Add to Reading List

Source URL: www.di.fc.ul.pt

Language: English - Date: 2016-05-03 09:03:20
92Microsoft Word - p863-liu.doc

Microsoft Word - p863-liu.doc

Add to Reading List

Source URL: www.thuir.org

Language: English
93EUROPEAN PATENT OFFICE U.S. PATENT AND TRADEMARK OFFICE CPC NOTICE OF CHANGES 231 DATE: AUGUST 1, 2016 PROJECT DP0066

EUROPEAN PATENT OFFICE U.S. PATENT AND TRADEMARK OFFICE CPC NOTICE OF CHANGES 231 DATE: AUGUST 1, 2016 PROJECT DP0066

Add to Reading List

Source URL: www.cooperativepatentclassification.org

Language: English - Date: 2016-07-18 10:18:38
94Hierarchical Semi-supervised Classification with Incomplete Class Hierarchies Bhavana Dalvi ∗ Aditya Mishra

Hierarchical Semi-supervised Classification with Incomplete Class Hierarchies Bhavana Dalvi ∗ Aditya Mishra

Add to Reading List

Source URL: ai2-website.s3.amazonaws.com

Language: English - Date: 2016-05-10 13:04:36
95NL-based Query Refinement and Contextualized Code Search Results: A User Study Emily Hill, Manuel Roldan-Vega, Jerry Alan Fails, Greg Mallet Department of Computer Science Montclair State University Montclair, NJ, USA

NL-based Query Refinement and Contextualized Code Search Results: A User Study Emily Hill, Manuel Roldan-Vega, Jerry Alan Fails, Greg Mallet Department of Computer Science Montclair State University Montclair, NJ, USA

Add to Reading List

Source URL: users.drew.edu

Language: English - Date: 2013-12-02 23:03:23
96Programming with “Big Code”: Lessons, Techniques and Applications Pavol Bielik1 , Veselin Raychev1 , and Martin Vechev1 1  Department of Computer Science, ETH Zurich, Switzerland

Programming with “Big Code”: Lessons, Techniques and Applications Pavol Bielik1 , Veselin Raychev1 , and Martin Vechev1 1 Department of Computer Science, ETH Zurich, Switzerland

Add to Reading List

Source URL: www.srl.inf.ethz.ch

Language: English - Date: 2015-04-14 05:42:43
97Languages in Secondary Education An Overview of National Tests in EuropeEurydice Report

Languages in Secondary Education An Overview of National Tests in EuropeEurydice Report

Add to Reading List

Source URL: www.anefore.lu

Language: English - Date: 2015-10-07 03:32:20
98(Brief) Introduction to (Selected Aspects of) Natural Language Processing and Machine Learning Jaromir Savelka and Matthias Grabmair Intelligent Systems Program University of Pittsburgh

(Brief) Introduction to (Selected Aspects of) Natural Language Processing and Machine Learning Jaromir Savelka and Matthias Grabmair Intelligent Systems Program University of Pittsburgh

Add to Reading List

Source URL: people.cs.pitt.edu

Language: English - Date: 2015-06-26 13:11:41
99EUROPEAN PATENT OFFICE U.S. PATENT AND TRADEMARK OFFICE CPC NOTICE OF CHANGES 197 DATE: MAY 1, 2016 PROJECT MP0180

EUROPEAN PATENT OFFICE U.S. PATENT AND TRADEMARK OFFICE CPC NOTICE OF CHANGES 197 DATE: MAY 1, 2016 PROJECT MP0180

Add to Reading List

Source URL: www.cooperativepatentclassification.org

Language: English - Date: 2016-04-05 10:54:46
100Applying an Interactive Machine Learning Approach to Statutory Analysis a,b,1 , Gaurav TRIVEDI a and Kevin D. ASHLEY a,b,c ˇ Jarom´ır SAVELKA a Intelligent Systems Program, University of Pittsburgh, USA

Applying an Interactive Machine Learning Approach to Statutory Analysis a,b,1 , Gaurav TRIVEDI a and Kevin D. ASHLEY a,b,c ˇ Jarom´ır SAVELKA a Intelligent Systems Program, University of Pittsburgh, USA

Add to Reading List

Source URL: www.trivedigaurav.com

Language: English - Date: 2015-12-10 18:47:57