Towards Building a Standard Dataset for Arabic Keyphrase Extraction Evaluation

被引：0

作者：

Helmy, Muhammad ^{[1
]}

Basaldella, Marco ^{[1
]}

Maddalena, Eddy ^{[1
]}

Mizzaro, Stefano ^{[1
]}

Demartinit, Gianluca ^{[2
]}

机构：

[1] Univ Udine, Udine, Italy

[2] Univ Sheffield, Sheffield, S Yorkshire, England

来源：

PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ASIAN LANGUAGE PROCESSING (IALP) | 2016年

基金：

英国工程与自然科学研究理事会;

关键词：

Arabic Language Resources; Dataset; Keyphrase Extraction; Crowdsourcing;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Keyphrases are short phrases that best represent a document content. They can be useful in a variety of applications, including document summarization and retrieval models. In this paper, we introduce the first dataset of keyphrases for an Arabic document collection, obtained by means of crowdsourcing. We experimentally evaluate different crowdsourced answer aggregation strategies and validate their performances against expert annotations to evaluate the quality of our dataset. We report about our experimental results, the dataset features, some lessons learned, and ideas for future work.

引用

页码：26 / 29

页数：4

共 50 条

[1] Keyphrase Extraction from Modern Standard Arabic Texts Based on Association Rules
Loukam, Mourad
Hammouche, Djamila
Mezzoudj, Freha
Belkredim, Fatma Zohra
[J]. ARABIC LANGUAGE PROCESSING: FROM THEORY TO PRACTICE, ICALP 2019, 2019, 1108 : 209 - 220
[2] AKEA: An Arabic Keyphrase Extraction Algorithm
Amer, Eslam
Foad, Khaled
[J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT SYSTEMS AND INFORMATICS 2016, 2017, 533 : 137 - 146
[3] Applying Deep Learning for Arabic Keyphrase Extraction
Helmy, Muhammad
Vigneshram, R. M.
Serra, Giuseppe
Tasso, Carlo
[J]. ARABIC COMPUTATIONAL LINGUISTICS, 2018, 142 : 254 - 261
[4] Comparison of Naïve Bayes with graph based methods for keyphrase extraction in modern standard Arabic language
Loukam M.
[J]. International Journal of Speech Technology, 2023, 26 (1) : 141 - 150
[5] Building a Standard Dataset for Arabic Sentiment Analysis: Identifying Potential Annotation Pitfalls
Al-Kabi, Mohammed N.
Al-Qwagenah, Areej A.
Gigieh, Amal H.
Alsmearat, Kholoud
Al-Ayyoub, Mahmoud
Alsmadi, Izzat M.
[J]. 2016 IEEE/ACS 13TH INTERNATIONAL CONFERENCE OF COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2016,
[6] Towards a gold standard dataset for Open Information Extraction in Italian
Guarasci, Raffaele
Damiano, Emanuele
Minutolo, Aniello
Esposito, Massimo
[J]. 2019 SIXTH INTERNATIONAL CONFERENCE ON SOCIAL NETWORKS ANALYSIS, MANAGEMENT AND SECURITY (SNAMS), 2019, : 447 - 453
[7] Leveraging Arabic Morphology and Syntax for Achieving Better Keyphrase Extraction
Helmy, Muhammad
De Nart, Dario
Degl'Innocenti, Dante
Tasso, Carlo
[J]. PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ASIAN LANGUAGE PROCESSING (IALP), 2016, : 340 - 343
[8] Automatic Arabic Text Summarization Using Clustering and Keyphrase Extraction
Fejer, Hamzah Noori
Omar, Nazlia
[J]. PROCEEDINGS OF THE 2014 6TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND MULTIMEDIA (ICIM), 2014, : 293 - 298
[9] TermITH-Eval: a French Standard-Based Resource for Keyphrase Extraction Evaluation
Bougouin, Adrien
Barreaux, Sabine
Romary, Laurent
Boudin, Florian
Daille, Beatrice
[J]. LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2016, : 1924 - 1927
[10] KP-Miner: A keyphrase extraction system for English and Arabic documents
El-Beltagy, Samhaa R.
Rafea, Ahmed
[J]. INFORMATION SYSTEMS, 2009, 34 (01) : 132 - 144

← 1 2 3 4 5 →