Query-Based Extractive Text Summarization Using Sense-Oriented Semantic Relatedness Measure
This paper presents a query-based extractive text summarization approach by using sense-
oriented semantic relatedness measure. To find the query relevant sentences, we have to …
oriented semantic relatedness measure. To find the query relevant sentences, we have to …
Advancing Abstractive Summarization: Evaluating GPT-2, BART, T5-Small, and Pegasus Models with Baseline in ROUGE and BLEU Metrics
S Abdul Samad, R Sushma, G Bharathi Mohan… - … on Innovations in …, 2024 - Springer
An intriguing problem in natural language processing is text summarising, which requires
extracting important information from a text to create concise and informative summaries …
extracting important information from a text to create concise and informative summaries …
Amharic ATS-A Comparison Between Graph Based and Statistical Based Approach using Rouge Metric and Human Evaluation
HS Ali, LM Kefali, S Parida… - 2022 OPJU International …, 2023 - ieeexplore.ieee.org
This paper presents a study into existing Automatic Text Summarization models applied on
the Amharic languagea widely used and spoken language in Ethiopia. With more than 40 …
the Amharic languagea widely used and spoken language in Ethiopia. With more than 40 …
Contributions to Legal Document Summarization: Judgments from the Portuguese Supreme Court of Justice
Legal documents are commonly known for being lengthy and having a specific vocabulary.
For professionals and non-jurists, having a summary of each document is crucial so they can …
For professionals and non-jurists, having a summary of each document is crucial so they can …