A Machine Learning Approach towards Improving Internet Search with a Question-Answering System
نویسنده
چکیده
This paper introduces a prototype to extract common sense knowledge from the World Wide Web. The prototype combines a search engine with an automated database. It works by extracting information from the enormous amount of documents available on the World Wide Web. Two common examples are that men love women and that women love men (bi-directional relationship) or that boys like toys (unidirectional relationship), whilst toys cannot like boys. Key-Words: Machine learning, question-answering system, search engine, automated knowledge extraction, semantic web, human computer interaction
منابع مشابه
Solving the Prerequisites: Improving Question Answering on the bAbI Dataset
The aim of this project is to make progress towards building a machine learning agent that understands natural language and can perform basic reasoning. Towards this nebulous goal, we focus on question answering: Can an agent answer a query based on a given set of natural language facts? We combine LSTM sentence embedding models with an attention mechanism and obtain good results on the Faceboo...
متن کاملOptimizing question answering systems by Accelerated Particle Swarm Optimization (APSO)
One of the most important research areas in natural language processing is Question Answering Systems (QASs). Existing search engines, with Google at the top, have many remarkable capabilities. But there is a basic limitation (search engines do not have deduction capability), a capability which a QAS is expected to have. In this perspective, a search engine may be viewed as a semi-mechanized QA...
متن کاملConversing Learning: Active Learning and Active Social Interaction for Human Supervision in Never-Ending Learning Systems
The Machine Learning community have been introduced to NELL (Never-Ending Language Learning), a system able to learn from web and to use its knowledge to keep learning infinitely. The idea of continuously learning from the web brings concerns about reliability and accuracy, mainly when the learning process uses its own knowledge to improve its learning capabilities. Considering that the knowled...
متن کاملYou've Got Answers: Towards Personalized Models for Predicting Success in Community Question Answering
Question answering communities such as Yahoo! Answers have emerged as a popular alternative to general-purpose web search. By directly interacting with other participants, information seekers can obtain specific answers to their questions. However, user success in obtaining satisfactory answers varies greatly. We hypothesize that satisfaction with the contributed answers is largely determined b...
متن کاملQuery Term Selection Strategies for Web-based Chinese Factoid Question Answering
Passage retrieval plays an important role in a Chinese factoid Question Answering (QA) system. Query term selection is the process of choosing keywords from a given question to make the most use of information retrieval engines. Query terms selected by humans are analyzed to measure the difficulty and for evaluating machine generated results. Three approaches, namely stop words elimination, rul...
متن کامل