Using Information Fusion for Open Domain Question Answering
نویسندگان
چکیده
In open domain Question Answering, answer candidates are ranked according to individual features such as matching the answer type expected by the question. We report on a technique based on the fusion of candidate answers and their context into answer neighbourhoods to provide better features for ranking and allow shallow reasoning.
منابع مشابه
Investigating Embedded Question Reuse in Question Answering
The investigation presented in this paper is a novel method in question answering (QA) that enables a QA system to gain performance through reuse of information in the answer to one question to answer another related question. Our analysis shows that a pair of question in a general open domain QA can have embedding relation through their mentions of noun phrase expressions. We present methods f...
متن کاملHandling Information Access Dialogue Through QA Technologies - A Novel Challenge For Open-Domain Question Answering
A novel challenge for evaluating open-domain question answering technologies is proposed. In this challenge, question answering systems are supposed to be used interactively to answer a series of related questions, whereas in the conventional setting, systems answer isolated questions one by one. Such an interaction occurs in the case of gathering information for a report on a specific topic, o...
متن کاملA Speech Interface for Open-Domain Question-Answering
Speech interfaces to question-answering systems offer significant potential for finding information with phones and mobile networked devices. We describe a demonstration of spoken question answering using a commercial dictation engine whose language models we have customized to questions, a Web-based textprediction interface allowing quick correction of errors, and an open-domain question-answe...
متن کاملPresenting a method for extracting structured domain-dependent information from Farsi Web pages
Extracting structured information about entities from web texts is an important task in web mining, natural language processing, and information extraction. Information extraction is useful in many applications including search engines, question-answering systems, recommender systems, machine translation, etc. An information extraction system aims to identify the entities from the text and extr...
متن کاملN - ary Relation Approach for Open Domain Question Answering System Based on Information Extraction through World Wide Web
141 www.ijeas.org Abstract— In this paper, we have presented n-ary relation based open domain question answering system for Extraction Information from an oversized assortment of document against arbitrary questions. We proposed two algorithms to extract entity and relationship from string and to extract answer for queried question. Our proposed algorithm works on both online and offline mode...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005