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Joint Verification-Identification in End-to-End Multi-Scale CNN Framework for Topic Identification

Abstract: 

We present an end-to-end multi-scale Convolutional Neural
Network (CNN) framework for topic identification (topic ID).
In this work, we examined multi-scale CNN for classification
using raw text input. Topical word embeddings are learnt at
multiple scales using parallel convolutional layers. A technique
to integrate verification and identification objectives is
examined to improve topic ID performance. With this approach,
we achieved significant improvement in identification
task. We evaluated our framework on two contrasting
datasets: 20 newsgroups and Fisher. We obtained 92.93% accuracy
on Fisher and 86.12% on 20 newsgroups, which to our
knowledge are the best published results on these datasets at
the moment.

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Paper Details

Authors:
Raghavendra Pappagari, Jesus Villalba, Najim Dehak
Submitted On:
13 April 2018 - 4:16pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Raghavendra Pappagari
Paper Code:
3698
Document Year:
2018
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[1] Raghavendra Pappagari, Jesus Villalba, Najim Dehak, "Joint Verification-Identification in End-to-End Multi-Scale CNN Framework for Topic Identification", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2758. Accessed: Aug. 19, 2019.
@article{2758-18,
url = {http://sigport.org/2758},
author = {Raghavendra Pappagari; Jesus Villalba; Najim Dehak },
publisher = {IEEE SigPort},
title = {Joint Verification-Identification in End-to-End Multi-Scale CNN Framework for Topic Identification},
year = {2018} }
TY - EJOUR
T1 - Joint Verification-Identification in End-to-End Multi-Scale CNN Framework for Topic Identification
AU - Raghavendra Pappagari; Jesus Villalba; Najim Dehak
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2758
ER -
Raghavendra Pappagari, Jesus Villalba, Najim Dehak. (2018). Joint Verification-Identification in End-to-End Multi-Scale CNN Framework for Topic Identification. IEEE SigPort. http://sigport.org/2758
Raghavendra Pappagari, Jesus Villalba, Najim Dehak, 2018. Joint Verification-Identification in End-to-End Multi-Scale CNN Framework for Topic Identification. Available at: http://sigport.org/2758.
Raghavendra Pappagari, Jesus Villalba, Najim Dehak. (2018). "Joint Verification-Identification in End-to-End Multi-Scale CNN Framework for Topic Identification." Web.
1. Raghavendra Pappagari, Jesus Villalba, Najim Dehak. Joint Verification-Identification in End-to-End Multi-Scale CNN Framework for Topic Identification [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2758