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Answering Arabic Why-Questions

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-70939-8_47openalex-snapshot
Adapting the JIRS Passage Retrieval System to the Arabic Language
inferredcites →https://doi.org/10.1007/978-3-642-15384-6_62openalex-snapshot
Automatically Finding Answers to "Why" and "How to" Questions for Arabic Language
inferredcites →https://doi.org/10.1007/978-3-642-15754-7_21openalex-snapshot
Overview of ResPubliQA 2009: Question Answering Evaluation over European Legislation
inferredcites →https://doi.org/10.1007/s10579-004-1917-3openalex-snapshot
Experimenting with a Question Answering System for the Arabic Language
inferredcites →https://doi.org/10.1007/s10579-013-9237-0openalex-snapshot
On the evaluation and improvement of Arabic WordNet coverage and usability
inferredcites →https://doi.org/10.1007/s10579-014-9271-6openalex-snapshot
A qualitative comparison method for rhetorical structures: identifying different discourse structures in multilingual corpora
inferredcites →https://doi.org/10.1007/s10791-010-9136-6openalex-snapshot
Learning to rank for why-question answering
inferredcites →https://doi.org/10.1007/s13369-014-1062-2openalex-snapshot
Arabic Question Answering: Systems, Resources, Tools, and Future Trends
inferredcites →https://doi.org/10.1016/b0-08-044854-2/00541-1openalex-snapshot
Rhetorical Structure Theory
inferredcites →https://doi.org/10.1016/j.csl.2012.01.002openalex-snapshot
A text summarizer for Arabic
inferredcites →https://doi.org/10.1017/s1351324913000284openalex-snapshot
A survey of automatic Arabic diacritization techniques
inferredcites →https://doi.org/10.1108/ir.1999.04926fae.001openalex-snapshot
Lecture Notes in Computer Science 1205
inferredcites →https://doi.org/10.1108/k.2011.40.9_10.1555.5openalex-snapshot
Information Retrieval: Implementing and Evaluating Search Engines
inferredcites →https://doi.org/10.1109/acit47987.2019openalex-snapshot
2019 International Arab Conference on Information Technology (ACIT)
inferredcites →https://doi.org/10.1109/acit58888.2023openalex-snapshot
2023 24th International Arab Conference on Information Technology (ACIT)
inferredcites →https://doi.org/10.1109/icmlc.2006.259170openalex-snapshot
An Open Domain Question Answering System Based on Improved System Similarity Model
inferredcites →https://doi.org/10.1145/1644879.1644881openalex-snapshot
Arabic Natural Language Processing
inferredcites →https://doi.org/10.1145/165482.165488openalex-snapshot
A knowledge based Arabic question answering system (AQAS)
inferredcites →https://doi.org/10.1145/1924475.1924501openalex-snapshot
In search of the Why
inferredcites →https://doi.org/10.1145/361219.361220openalex-snapshot
A vector space model for automatic indexing
inferredcites →https://doi.org/10.1145/363707.363732openalex-snapshot
Answering English questions by computer
inferredcites →https://doi.org/10.1162/coli.09-032-r1-08-034openalex-snapshot
What Is Not in the Bag of Words for Why-QA?
inferredcites →https://doi.org/10.1177/0165551515585720openalex-snapshot
Modern information retrieval in Arabic – catering to standard and colloquial Arabic users
inferredcites →https://doi.org/10.13140/2.1.4664.9288openalex-snapshot
OSAC: Open Source Arabic Corpora
inferredcites →https://doi.org/10.1515/text.1.1988.8.3.243openalex-snapshot
Rhetorical Structure Theory: Toward a functional theory of text organization
inferredcites →https://doi.org/10.2307/416388openalex-snapshot
Current research in natural language generation . Ed. by Robert Dale, Chris Mellish, and Michael Zock. (Cognitive Science Series, 4.) London: Academic Press, 1990. Pp. ix, 356. $45.00.
inferredcites →https://doi.org/10.3115/1118637.1118644openalex-snapshot
QARAB
inferredcites →https://doi.org/10.3115/1225733.1225739openalex-snapshot
NooJ
inferredcites →https://doi.org/10.3115/1289189.1289206openalex-snapshot
A question/answer typology with surface text patterns
inferredcites →https://doi.org/10.3844/ajassp.2009.797.805openalex-snapshot
A New Question Answering System for the Arabic Language
inferredcites →https://doi.org/10.3844/ajassp.2011.652.661openalex-snapshot
QArabPro: A Rule Based Question Answering System for Reading Comprehension Tests in Arabic
inferredcites →https://doi.org/10.48550/arxiv.1702.01925openalex-snapshot
Effects of Stop Words Elimination for Arabic Information Retrieval: A Comparative Study

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s00521-024-09525-0openalex-snapshot
Stacked dynamic memory-coattention network for answering why-questions in Arabic
inferred← citeshttps://doi.org/10.1007/s10462-021-10031-1openalex-snapshot
Arabic question answering system: a survey
inferred← citeshttps://doi.org/10.1007/s10791-017-9325-7openalex-snapshot
EveTAR: building a large-scale multi-task test collection over Arabic tweets
inferred← citeshttps://doi.org/10.1007/s44443-025-00128-wopenalex-snapshot
Hajj-FQA: A benchmark Arabic dataset for developing question-answering systems on Hajj fatwas
inferred← citeshttps://doi.org/10.1016/j.ipm.2019.05.008openalex-snapshot
AAEE – Automated evaluation of students’ essays in Arabic language
inferred← citeshttps://doi.org/10.1080/1206212x.2021.1949117openalex-snapshot
A survey on non-factoid question answering systems
inferred← citeshttps://doi.org/10.1109/access.2021.3074950openalex-snapshot
Arabic Question Answering Systems: Gap Analysis
inferred← citeshttps://doi.org/10.1109/access.2024.3458466openalex-snapshot
Decoding Queries: An In-Depth Survey of Quality Techniques for Question Analysis in Arabic Question Answering Systems
inferred← citeshttps://doi.org/10.1145/3485557.3485571openalex-snapshot
Recent Advances and Challenges of Arabic Why Question Answering Systems
inferred← citeshttps://doi.org/10.1145/3626772.3657889openalex-snapshot
ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
inferred← citeshttps://doi.org/10.3390/computers14110497openalex-snapshot
Arabic Natural Language Processing (NLP): A Comprehensive Review of Challenges, Techniques, and Emerging Trends
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