sweaterr / about-sim Goto Github PK

https://github.com/dennybritz/deeplearning-papernotes

Deep Learning Powered In-Session Contextual Ranking using Clickthrough Data

Techniques for Deep Query Understanding

query-auto-completion-for-rare-prefixes

Learning by Example: Training Users with High-quality
Query Suggestions

An empirical study on large scale text classification with skip-gram embeddings Pdf_icon
Georgios Balikas and Massih-Reza Amini

Deep Feature Fusion Network for Answer Quality Prediction in Community Question Answering Pdf_icon
Sai Praneeth Suggu, Kushwanth N. Goutham T, Manoj K. Chinnakotla and Manish Shrivastava

Selective Term Proximity Scoring Via BP-ANN Pdf_icon
Ju Yang, Rebecca Stones, Gang Wang and Xiaoguang Liu

Adaptability of Neural Networks on Varying Granularity IR Tasks Pdf_icon
Daniel Cohen, Qingyao Ai and W. Bruce Croft

Emulating Human Conversations using Convolutional Neural Network-based IR Pdf_icon
Abhay Prakash, Chris Brockett and Puneet Agrawal

A Study of MatchPyramid Models on Ad-hoc Retrieval Pdf_icon
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu and Xueqi Cheng

Learning text representation using recurrent convolutional neural network with highway layers Pdf_icon
Ying Wen, Weinan Zhang, Rui Luo and Jun Wang

Toward Word Embedding for Personalized Information Retrieval Pdf_icon
Nawal Ould Amer, Philippe Mulhem and Mathias Géry

Toward a Deep Neural Approach for Knowledge-Based IR Pdf_icon
Gia-Hung Nguyen, Lynda Tamine, Laure Soulier and Nathalie Bricon-Souf

Query Expansion with Locally-Trained Word Embeddings
Fernando Diaz, Bhaskar Mitra and Nick Craswell

LSTM-Based Predictions for Proactive Information Retrieval Pdf_icon
Petri Luukkonen, Markus Koskela and Patrik Floréen

Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions Pdf_icon
Fabio Carrara, Andrea Esuli, Tiziano Fagni, Fabrizio Falchi and Alejandro Moreo Fernández

Uncertainty in Neural Network Word Embedding Exploration of Potential Threshold Pdf_icon
Navid Rekabsaz, Mihai Lupu and Allan Hanbury

Deep Learning Relevance: Creating Relevant Information (as Opposed to Retrieving it) Pdf_icon
Christina Lioma, Birger Larsen, Casper Petersen and Jakob Grue Simonsen

Learning Dynamic Classes of Events using Stacked Multilayer Perceptron Networks Pdf_icon
Nattiya Kanhabua, Huamin Ren and Thomas B. Moeslund

Representing Documents and Queries as Sets of Word Embedded Vectors for Information Retrieval Pdf_icon
Debasis Ganguly, Dwaipayan Roy, Mandar Mitra and Gareth Jones

Using Word Embeddings for Automatic Query Expansion
Dwaipayan Roy, Debjyoti Paul and Mandar Mitra

Modelling User Preferences using Word Embeddings for Context-Aware Venue Recommendation Pdf_icon
Jarana Manotumruksa, Craig Macdonald and Iadh Ounis

Using Word Embeddings in Twitter Election Classification Pdf_icon
Xiao Yang, Craig Macdonald and Iadh Ounis