Arabic-English Question Answering
نویسندگان
چکیده
The goal of a Question Answering (QA) system is to provide inexperienced users with a flexible access to the information allowing them for writing a query in natural language and obtaining a concise answer. QA systems are mainly suited to English as the target language. In this paper we will investigate how much the translation of the queries, from the Arabic into the English language, could reduce the accuracy of the QA task.
منابع مشابه
Web-Based Multiple Choice Question Answering for English and Arabic Questions
Answering multiple-choice questions, where a set of possible answers is provided together with the question, constitutes a simplified but nevertheless challenging area in question answering research. This paper introduces and evaluates two novel techniques for answer selection. It furthermore analyses in how far performance figures obtained using the English language Web as data source can be t...
متن کاملSemEval-2015 Task 3: Answer Selection in Community Question Answering
Community Question Answering (cQA) provides new interesting research directions to the traditional Question Answering (QA) field, e.g., the exploitation of the interaction between users and the structure of related posts. In this context, we organized SemEval2015 Task 3 on Answer Selection in cQA, which included two subtasks: (a) classifying answers as good, bad, or potentially relevant with re...
متن کاملStory Segmentation of Broadcast News in English, Mandarin and Arabic
In this paper, we present results from a Broadcast News story segmentation system developed for the SRI NIGHTINGALE system operating on English, Arabic and Mandarin news shows to provide input to subsequent question-answering processes. Using a rule-induction algorithm with automatically extracted acoustic and lexical features, we report success rates that are competitive with state-ofthe-art s...
متن کاملQCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English
This paper describes QCRI’s participation in SemEval-2015 Task 3 “Answer Selection in Community Question Answering”, which targeted real-life Web forums, and was offered in both Arabic and English. We apply a supervised machine learning approach considering a manifold of features including among others word n-grams, text similarity, sentiment analysis, the presence of specific words, and the co...
متن کاملHITSZ-ICRC: Exploiting Classification Approach for Answer Selection in Community Question Answering
This paper describes the participation of the HITSZ-ICRC team on the Answer Selection Challenge in SemEval-2015. Our team participated in English subtask A, English subtask B and Arabic task. Two approaches, ensemble learning and hierarchical classification were proposed for answer selection in each task. Bag-of-words features, lexical features and non-textual features were employed. For the Ar...
متن کامل