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Seec A question answering web application

Seec A question answering web application. Nan Luo nl2324. Outline. Web-based Question Answering System Example: ask.com Example: answers.yahoo.com Example: vark.com Comparison Our project Goal Procedure Demo Future work. Web-based Question Answering System.

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Seec A question answering web application

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  1. SeecA question answering web application Nan Luo nl2324

  2. Outline • Web-based Question Answering System • Example: ask.com • Example: answers.yahoo.com • Example: vark.com • Comparison • Our project • Goal • Procedure • Demo • Future work

  3. Web-based Question Answering System • Question Answering System is the task of answering a question posed in natural language. • Question: “nba playoff: lakersvs blazers, which team wins?” • Traditional Search Engine: uh… • Question Answering System: 

  4. Example: ask.com

  5. Example: answer.yahoo.com

  6. Example: vark.com

  7. Comparison • (a) Whether user can get “natural-language” answer • (b) Whether user can get answer quickly • (c) Data redundancy (repeated problem) • (d) Easy for users to input the answer

  8. Our project - goal • Try to implement a web-based question answering system. • Try to avoid those problems. • Pair Programming: • Front-end: Haomin Zhu & Yanni Li • Back-end: Nan Luo & Bin Wang

  9. Our project – procedure • Asking • User asks a question • The question would be classified into a label • Naïve Bayes: calculating maximum likelihood • The system find whether there is similar question and answer • If not, go to next step. • If yes, the system return the answer of that question • User looks at the answer returned by system • If satisfied, get the answer. • If not, go to next step. • The system send user’s question to “targeted users” • Targeted users: users who are most likely to answer this question.

  10. Our project – procedure • Answering • User receive a question • Using “help” to help user answer the question (optional) • Get search results from traditional engine, sometimes helpful! • Input the answer • Submit

  11. Our project - demo

  12. Our project – future work • Using IM Technique • Users can get answer quickly • Multiple ways to analyze “targeted user” • Ranking the users and answers • Adding Social Network • Processing the search engine results

  13. Thanks! Any problem?

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