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المؤلفTorki, Marwan
المؤلفHasanain, Maram
المؤلفElsayed, Tamer
تاريخ الإتاحة2024-11-05T06:05:20Z
تاريخ النشر2017
اسم المنشورProceedings of the Annual Meeting of the Association for Computational Linguistics
المصدرScopus
المعرّفhttp://dx.doi.org/10.18653/v1/S17-2059
الرقم المعياري الدولي للكتاب0736587X
معرّف المصادر الموحدhttp://hdl.handle.net/10576/60893
الملخصIn this paper, we describe our QU-BIGIR system for the Arabic subtask D of the SemEval 2017 Task 3. Our approach builds on our participation in the past version of the same subtask. This year, our system uses different similarity features that encodes lexical and semantic pairwise similarity of text pairs. In addition to well-known similarity measures such as cosine similarity, we use other measures based on the summary statistics of word embedding representation for a given text. To rank a list of candidate question-answer pairs for a given question, we train a linear SVM classifier over our similarity features. Our best resulting run came second in subtask D with a very competitive performance to the first-ranking system.
راعي المشروعThis work was made possible by NPRP grant# NPRP 6-1377-1-257 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
اللغةen
الناشرAssociation for Computational Linguistics (ACL)
الموضوعCommunity question answering
Cosine similarity
Embeddings
Linear SVM
Question-answer pairs
Similarity measure
Subtask
Summary statistic
SVM classifiers
System use
Semantics
العنوانQU-BIGIR at SemEval 2017 Task 3: Using Similarity Features for Arabic Community Question Answering Forums
النوعConference Paper
الصفحات360-364
dc.accessType Open Access


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