Amazing technological breakthrough possible @S-Logix pro@slogix.in

Office Address

  • 2nd Floor, #7a, High School Road, Secretariat Colony Ambattur, Chennai-600053 (Landmark: SRM School) Tamil Nadu, India
  • pro@slogix.in
  • +91- 81240 01111

Social List

Bidirectional LSTM Recurrent Neural Network for Keyphrase Extraction - 2018

Bidirectional Lstm Recurrent Neural Network For Keyphrase Extraction

Research Paper on Bidirectional Lstm Recurrent Neural Network For Keyphrase Extraction

Research Area:  Machine Learning

Abstract:

To achieve state-of-the-art performance, keyphrase extraction systems rely on domain-specific knowledge and sophisticated features. In this paper, we propose a neural network architecture based on a Bidirectional Long Short-Term Memory Recurrent Neural Network that is able to detect the main topics on the input documents without the need of defining new hand-crafted features. A preliminary experimental evaluation on the well-known INSPEC dataset confirms the effectiveness of the proposed solution.

Keywords:  
Lstm
Recurrent Neural Network
Keyphrase Extraction
neural network architecture
Machine Learning
Deep Learning

Author(s) Name:  Marco Basaldella, Elisa Antolli, Giuseppe Serra & Carlo Tasso

Journal name:  

Conferrence name:  Digital Libraries and Multimedia Archives

Publisher name:  Springer

DOI:   10.1007/978-3-319-73165-0_18

Volume Information: