Home › Categories › Technology› QAInfomax: Enhancing Reading Comprehension With Mutual Information Maximization

QAInfomax: Enhancing Reading Comprehension With Mutual Information Maximization.pdf

D19-1333.pdf
Preview of QAInfomax: Enhancing Reading Comprehension with Mutual Information Maximization
🔗 Source: aclanthology.org
📊 Size: 354 KB
👤 Author: Yi-Ting Yeh ; Yun-Nung Chen
⬇️ Downloads: 1,087

Summary

Traditional methods achieve high accuracy on benchmark datasets like SQuAD but struggle with "adversarial" examples – sentences that look similar to answers but don't actually provide the correct response.

The Problem:

Existing QA models often overfit to superficial patterns in training data, leading to poor performance on adversarial examples. This is because standard evaluation metrics only measure surface-level understanding rather than genuine comprehension.

QAInfomax Solution:

QAInfomax leverages mutual information (MI) as a regularizer during model training. It encourages the QA system to learn representations that:

Capture Local Context: Each word representation in the answer should contain relevant information about both the answer itself and its surrounding context.
 Summarize Global Information: The overall answer representation should encapsulate comprehensive knowledge about the question and the relevant passage.

Technical Details:

QAInfomax incorporates deep infomax (DIM), a technique that effectively estimates mutual information between variables using neural networks. This allows for efficient computation of MI during training.

Key Contributions:

First application of DIM-based MI estimation in NLP.
 State-of-the-art performance on the Adversarial-SQuAD dataset without additional data, demonstrating improved robustness against adversarial examples.

In Summary:

QAInfomax offers a promising direction for building more robust and truly understanding QA systems by moving beyond superficial patterns in text data.

Download File

Description

A regularization technique for enhancing reading comprehension systems by maximizing mutual information, aiming to improve the distinction between related but incorrect answers and the actual correct response.

Technical Information

  • File Format: PDF
  • File Size: 354 KB
  • Pages: 6
  • Language: EN
  • Author: Yi-Ting Yeh ; Yun-Nung Chen
  • Total Downloads: 1,087
  • Last Updated: 15 hours ago

Document Overview

This PDF document about QAInfomax: Enhancing Reading Comprehension with Mutual Information Maximization provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into QAInfomax: Enhancing Reading Comprehension with Mutual Information Maximization.

Related Topics

If you're interested in QAInfomax: Enhancing Reading Comprehension with Mutual Information Maximization, you might also want to explore:

QAInfomax: guideQAInfomax: tutorialEnhancing guideEnhancing tutorialReading guideReading tutorialComprehension guideComprehension tutorialwith guidewith tutorialMutual guideMutual tutorialInformation guideInformation tutorialMaximization guideMaximization tutorial

Related Categories

Business & Finance
41204 documents
Education & Learning
22711 documents
Health & Wellness
8956 documents

Related Documents

Preview of Reading Comprehension
PDF file

Reading Comprehension

363 KBuserEN3 pages
Pusti Mustika's 2013 thesis, "Keterampilan Membaca Pemahaman Melalui Pendekatan Bahasa Anak", explores reading comprehension skills in children with...
Download
Preview of Reading Comprehension
PDF file

Reading Comprehension

371 KBEN17 pages
A study compared the efficacy of two training programs, one based on reading comprehension and the other on listening comprehension, both focusing...
Download
Preview of Reading Comprehension Difficulties
PDF file

Reading Comprehension Difficulties

152 KBEN5 pages
Children's reading comprehension difficulties are relatively common, affecting around 10.3% of primary-school children, with 3.3% having clinically...
Download
Preview of Reindeer reading comprehension activity.pdf
PDF file

Reindeer reading comprehension activity.pdf

3.76 MBEN11 pages
There is no text to summarize.
Download
Preview of Leasing Information
PDF file

Leasing Information

942 KBmugaldeEN1 page
Contact Sandra Andersen at 954.385.0000 or [email protected] for leasing information regarding Suite 450, 13,659 R.S.F.
Download

Download QAInfomax: Enhancing Reading Comprehension with Mutual Information Maximization eBooks for free and learn more about QAInfomax: Enhancing Reading Comprehension with Mutual Information Maximization. These books contain exercises and tutorials to improve your practical skills, at all levels!

Not satisfied with this document? We have related documents to QAInfomax: Enhancing Reading Comprehension with Mutual Information Maximization, try searching with similar keywords: QAInfomax: Enhancing Reading Comprehension with Mutual Information Maximization, Shareholder Wealth Maximization Vs Profit Maximization, Superior Between Wealth Maximization And Profit Maximization, Farmers Mutual Telephone Co. Farmers Mutual Telephone, A Spectrum Of Sharing Maximization Of Information , Auditing Information Systems Enhancing Performance, BIOPAMA: Enhancing Protected Area Management and Access to Information for Sustainable Biodiversity Conservation, 11 Commandments Of Life Maximization

You can download PDF versions of the user's guide, manuals and ebooks about QAInfomax: Enhancing Reading Comprehension with Mutual Information Maximization, you can also find and download for free A free online manual (notices) with beginner and intermediate, Downloads Documentation, You can download PDF files (or DOC and PPT) about QAInfomax: Enhancing Reading Comprehension with Mutual Information Maximization for free, but please respect copyrighted ebooks.