# Deep Learning applied to NLP

Source: [Deep Learning applied to NLP](<https://www.sota2.com/research/paper/68fa63361e209131ce9fd749>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T20:36:15.201Z

Authors: Marc Moreno Lopez, Jugal Kalita

Published: 2017-03-09T01:04:07.000Z

## Abstract

Convolutional Neural Network (CNNs) are typically associated with Computer Vision. CNNs are responsible for major breakthroughs in Image Classification and are the core of most Computer Vision systems today. More recently CNNs have been applied to problems in Natural Language Processing and gotten some interesting results. In this paper, we will try to explain the basics of CNNs, its different variations and how they have been applied to NLP.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1703.03091>)

[PDF](<https://arxiv.org/pdf/1703.03091.pdf>)