Question Classification for Polish Question Answering

机译：波兰问题解答的问题分类

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This paper deals with a problem of question type classification for Polish Question Answering (QA). The goal of this task is to determine both a general type and a class of an entity which is expected as an answer. Three types of approaches: pattern matching, WordNet-aided focus analysis and machine learning are presented and evaluated using a test set of 1137 manually classified questions from a Polish quiz TV show. Quantitative results supported with an analysis of error sources help to find possible improvements.

机译：本文讨论波兰问答（QA）的问题类型分类问题。此任务的目标是确定实体的一般类型和类别，以作为答案。呈现并评估了三种类型的方法：模式匹配，WordNet辅助的焦点分析和机器学习，并使用来自波兰问答电视节目的1137个手动分类问题的测试集进行了评估。分析错误源所支持的定量结果有助于发现可能的改进。

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来源
《Language processing and intelligent information systems》|2013年|50-56|共7页
会议地点 Warsaw(PL)
作者
Piotr Przybyla;
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作者单位

Institute of Computer Science, Polish Academy of Sciences, ul. Jana Kazimierza 5, 01-248 Warszawa, Poland;

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原文格式 PDF
正文语种 eng
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3. IMPROVING ARABIC QUESTION ANSWERING SYSTEM BY MERGING ANER TECHNIQUE, UPDATED QUESTION CLASSIFICATION TECHNIQUE AND STOP WORDS TECHNIQUE [J] . BELAL ABUATA, IYAD ALAZZAM, FADI ALKHAZALEH Journal of Theoretical and Applied Information Technology . 2020,第23期

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4. Question Classification for Polish Question Answering [C] . Piotr Przybyla International Conference on Intelligent Information Systems . 2013

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6. The most important questions in cancer research and clinical oncology—Question 2–5. Obesity-related cancers: more questions than answers [O] . Ajit Venniyoor 2017

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7. A Tree Kernel approach to Question and Answer Classification in Question Answering Systems [O] . Ro Moschitti, Roberto Basili 2006

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Question Classification for Polish Question Answering

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