@curator

1 year ago

Article

Computing semantic similarity of texts based on deep graph learning with ability to use semantic role label information - Scientific Reports

Rating: 0.0

Likes: 1

Library: 1

Computing semantic similarity of texts based on deep graph learning with ability to use semantic role label information - Scientific Reports

We propose a deep graph learning approach for computing semantic textual similarity (STS) by using semantic role labels generated by a Semantic Role Labeling (SRL) system. SRL system output has significant challenges in dealing with graph-neural networks because it doesn't have a graph structure. To address these challenges, we propose a novel SRL graph by using semantic role labels and dependency grammar.

Rate This Post

Rate The Educational Value

Rate The Ease of Understanding and Presentation

Interesting or Boring? Rate the Entertainment Value

Computing semantic similarity of texts based on deep graph learning with ability to use semantic role label information - Scientific Reports

Rate This Post

Related Topics

Comments

Media:

My Account:

Boostlane:

Select a Category

Topics Trending Today

Recommended Media

Boostlane Reward System

Unlocking the Power of Knowledge
for Humanity's Progress

Quick Links

Select a Locale

Unlocking the Power of Knowledge
for Humanity's Progress

Computing semantic similarity of texts based on deep graph learning with ability to use semantic role label information - Scientific Reports

Rate This Post

Related Topics

Comments

Media:

My Account:

Boostlane:

Select a Category

Topics Trending Today

Recommended Media

Boostlane Reward System

Unlocking the Power of Knowledge for Humanity's Progress

Quick Links

Select a Locale

Unlocking the Power of Knowledge for Humanity's Progress

Unlocking the Power of Knowledge
for Humanity's Progress

Unlocking the Power of Knowledge
for Humanity's Progress