Global ETD Search

Automatic text summarization in digital libraries

Mlynarski, Angela, University of Lethbridge. Faculty of Arts and Science2006

lethbridge

Evaluation of Automatic Text Summarization Using Synthetic Facts

Ahn, Jaewook2022

<p>Automatic text summarization has achieved remarkable success with the development of deep neural networks and the availability of standardized benchmark datasets. It can generate fluent, human-like summaries. However, the unreliability of the existing evaluation metrics hinders its practical …

calpoly Repository record for Evaluation of Automatic Text Summarization Using Synthetic Facts (opens in a new tab)

Automatic text summarization using lexical chains : algorithms and experiments

Kolla, Maheedhar, University of Lethbridge. Faculty of Arts and Science2004

lethbridge

Methods of sentence extraction, abstraction and ordering for automatic text summarization

Nayeem, Mir Tafseer, University of Lethbridge. Faculty of Arts and Science2017

lethbridge

Generating Canonical Sentences from Question-Answer Pairs of Deposition Transcripts

Mehrotra, MaanavVirginia Tech2020

… to read. This gives us a need to develop some automatic text-summarization method for the same. The present-day summarization systems do not support this form of text, entailing a need to process them. This creates a need to parse such documents and extract QA pairs as well as any relevant …

vt Repository record for Generating Canonical Sentences from Question-Answer Pairs of Deposition Transcripts (opens in a new tab)

Multi-document summarization based on document clustering and neural sentence fusion

Fuad, Tanvir Ahmed, University of Lethbridge. Faculty of Arts and Science2018

lethbridge

Toward abstractive multi-document summarization using submodular function-based framework, sentence compression and merging

Tanvee, Moin Mahmud, University of Lethbridge. Faculty of Arts and Science2016

lethbridge