語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
到查詢結果
[ subject:"Automatic abstracting- Evaluation." ]
切換:
標籤
|
MARC模式
|
ISBD
Evaluation of text summaries based o...
~
Rojas-Simon, Jonathan.
FindBook
Google Book
Amazon
博客來
Evaluation of text summaries based on linear optimization of content metrics
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Evaluation of text summaries based on linear optimization of content metrics/ by Jonathan Rojas-Simon, Yulia Ledeneva, Rene Arnulfo Garcia-Hernandez.
作者:
Rojas-Simon, Jonathan.
其他作者:
Ledeneva, Yulia.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xv, 213 p. :ill., digital ;24 cm.
內容註:
Introduction -- Background of the ETS -- Fundamentals of the ETS -- State-of-the-art Automatic Evaluation Methods -- A Novel Methodology based on Linear Optimization of Metrics for the ETS -- Experimenting with Linear Optimization of Metrics for Single-document Summarization Evaluation -- Experimenting with Linear Optimization of Metrics for Multi-document Summarization Evaluation -- Conclusions and future considerations for the ETS.
Contained By:
Springer Nature eBook
標題:
Automatic abstracting - Evaluation. -
電子資源:
https://doi.org/10.1007/978-3-031-07214-7
ISBN:
9783031072147
Evaluation of text summaries based on linear optimization of content metrics
Rojas-Simon, Jonathan.
Evaluation of text summaries based on linear optimization of content metrics
[electronic resource] /by Jonathan Rojas-Simon, Yulia Ledeneva, Rene Arnulfo Garcia-Hernandez. - Cham :Springer International Publishing :2022. - xv, 213 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 10481860-9503 ;. - Studies in computational intelligence ;v. 1048..
Introduction -- Background of the ETS -- Fundamentals of the ETS -- State-of-the-art Automatic Evaluation Methods -- A Novel Methodology based on Linear Optimization of Metrics for the ETS -- Experimenting with Linear Optimization of Metrics for Single-document Summarization Evaluation -- Experimenting with Linear Optimization of Metrics for Multi-document Summarization Evaluation -- Conclusions and future considerations for the ETS.
This book provides a comprehensive discussion and new insights about linear optimization of content metrics to improve the automatic Evaluation of Text Summaries (ETS) The reader is first introduced to the background and fundamentals of the ETS. Afterward, state-of-the-art evaluation methods that require or do not require human references are described. Based on how linear optimization has improved other natural language processing tasks, we developed a new methodology based on genetic algorithms that optimize content metrics linearly. Under this optimization, we propose SECO-SEVA as an automatic evaluation metric available for research purposes. Finally, the text finishes with a consideration of directions in which automatic evaluation could be improved in the future. The information provided in this book is self-contained. Therefore, the reader does not require an exhaustive background in this area. Moreover, we consider this book the first one that deals with the ETS in depth.
ISBN: 9783031072147
Standard No.: 10.1007/978-3-031-07214-7doiSubjects--Topical Terms:
3604481
Automatic abstracting
--Evaluation.
LC Class. No.: Z695.92 / .R65 2022
Dewey Class. No.: 025.410285
Evaluation of text summaries based on linear optimization of content metrics
LDR
:02549nmm a2200325 a 4500
001
2303335
003
DE-He213
005
20220819190816.0
007
cr nn 008maaau
008
230409s2022 sz s 0 eng d
020
$a
9783031072147
$q
(electronic bk.)
020
$a
9783031072130
$q
(paper)
024
7
$a
10.1007/978-3-031-07214-7
$2
doi
035
$a
978-3-031-07214-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Z695.92
$b
.R65 2022
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
025.410285
$2
23
090
$a
Z695.92
$b
.R741 2022
100
1
$a
Rojas-Simon, Jonathan.
$3
3604477
245
1 0
$a
Evaluation of text summaries based on linear optimization of content metrics
$h
[electronic resource] /
$c
by Jonathan Rojas-Simon, Yulia Ledeneva, Rene Arnulfo Garcia-Hernandez.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2022.
300
$a
xv, 213 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Studies in computational intelligence,
$x
1860-9503 ;
$v
v. 1048
505
0
$a
Introduction -- Background of the ETS -- Fundamentals of the ETS -- State-of-the-art Automatic Evaluation Methods -- A Novel Methodology based on Linear Optimization of Metrics for the ETS -- Experimenting with Linear Optimization of Metrics for Single-document Summarization Evaluation -- Experimenting with Linear Optimization of Metrics for Multi-document Summarization Evaluation -- Conclusions and future considerations for the ETS.
520
$a
This book provides a comprehensive discussion and new insights about linear optimization of content metrics to improve the automatic Evaluation of Text Summaries (ETS) The reader is first introduced to the background and fundamentals of the ETS. Afterward, state-of-the-art evaluation methods that require or do not require human references are described. Based on how linear optimization has improved other natural language processing tasks, we developed a new methodology based on genetic algorithms that optimize content metrics linearly. Under this optimization, we propose SECO-SEVA as an automatic evaluation metric available for research purposes. Finally, the text finishes with a consideration of directions in which automatic evaluation could be improved in the future. The information provided in this book is self-contained. Therefore, the reader does not require an exhaustive background in this area. Moreover, we consider this book the first one that deals with the ETS in depth.
650
0
$a
Automatic abstracting
$x
Evaluation.
$3
3604481
650
0
$a
Natural language processing (Computer science)
$3
565309
650
0
$a
Mathematical optimization.
$3
517763
650
1 4
$a
Computational Intelligence.
$3
1001631
650
2 4
$a
Data Engineering.
$3
3409361
650
2 4
$a
Big Data.
$3
3134868
700
1
$a
Ledeneva, Yulia.
$3
3604478
700
1
$a
Garcia-Hernandez, Rene Arnulfo.
$3
3604479
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Studies in computational intelligence ;
$v
v. 1048.
$3
3604480
856
4 0
$u
https://doi.org/10.1007/978-3-031-07214-7
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9444884
電子資源
11.線上閱覽_V
電子書
EB Z695.92 .R65 2022
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入