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The challenging task of summary evaluation: an overview
Abstract Evaluation is crucial in the research and development of automatic summarization
applications, in order to determine the appropriateness of a summary based on different …
applications, in order to determine the appropriateness of a summary based on different …
[KİTAP][B] Automatic text summarization
JM Torres-Moreno - 2014 - books.google.com
Textual information in the form of digital documents quickly accumulates to create huge
amounts of data. The majority of these documents are unstructured: it is unrestricted text and …
amounts of data. The majority of these documents are unstructured: it is unrestricted text and …
Summtriver: A new trivergent model to evaluate summaries automatically without human references
The automatic evaluation of summaries is a hard task that continues to be open. The
assessment aims to measure simultaneously the informativeness and readability of …
assessment aims to measure simultaneously the informativeness and readability of …
Enhancing N-Gram based metrics with semantics for better evaluation of abstractive text summarization
Text summarization is an important task in natural language processing and it has been
applied in many applications. Recently, abstractive summarization has attracted many …
applied in many applications. Recently, abstractive summarization has attracted many …
HybridEval: An Improved Novel Hybrid Metric for Evaluation of Text Summarization
The present work re-evaluates the evaluation method for text summarization tasks. Two state-
of-the-art assessment measures eg, Recall-Oriented Understudy for Gisting Evaluation …
of-the-art assessment measures eg, Recall-Oriented Understudy for Gisting Evaluation …
Towards a reliable and robust methodology for crowd-based subjective quality assessment of query-based extractive text summarization
The intrinsic and extrinsic quality evaluation is an essential part of the summary evaluation
methodology usually conducted in a traditional controlled laboratory environment. However …
methodology usually conducted in a traditional controlled laboratory environment. However …
Multitask summary scoring with longformers
Automated scoring of student language is a complex task that requires systems to emulate
complex and multi-faceted human evaluation criteria. Summary scoring brings an additional …
complex and multi-faceted human evaluation criteria. Summary scoring brings an additional …
Calculating the upper bounds for multi-document summarization using genetic algorithms
Over the last years, several Multi-Document Summarization (MDS) methods have been
presented in Document Understanding Conference (DUC), workshops. Since DUC01 …
presented in Document Understanding Conference (DUC), workshops. Since DUC01 …
NoteSum: An integrated note summarization system by using text mining algorithms
This study implemented an integrated system of Note Summarization (NoteSum) that
merged with multi-users' notes and searched for relevant information on the Internet and …
merged with multi-users' notes and searched for relevant information on the Internet and …
Overview of the inex 2010 question answering track (qa@ inex)
Abstract The INEX Question Answering track (QA@ INEX) aims to evaluate a complex
question-answering task using the Wikipedia. The set of questions is composed of factoid …
question-answering task using the Wikipedia. The set of questions is composed of factoid …