What We Do
The purpose of this project: Find results of asked question on the internet and list them. It aims to access an information faster even almost all category; history, science, sport, education etc. Moreover, the SRS document explains algorithms of how the system find answers of questions.
Search by Question is basis of computers that will try to answer textual questions. The main point here is natural language processing, NLP for short, is a method for computers to analyze, understand, and make meaning from human language in a smart way. Through utilizing NLP, developers can promote and structure knowledge to perform works such translation, automatic summarization, named entity recognition, sentiment analysis, relationship extraction, speech recognition, topic segmentation..
Basis of Search by Question is also question answering. For systems implementing, there were two significant process of question answering: IR-based question answering.
Team Members
Mehmet Şerefoğlu
E: c1611688@student.cankaya.edu.tr
Koray Danışma
E: c1511409@student.cankaya.edu.tr
Ali Dorukhan Karakaya
E: c1311027@student.cankaya.edu.tr
The 4 general states of Watson
The lexical answer type is a one word or words that explain lexical answer type about the semantic kind of answer
Process of N-gram Tilling
There is a another way to answer extraction, use Web search that is based on N-gram tiling, or its other name is redundancy based approach.
Assistant Tools Use Cases for Searching
In Assistant Tools Use Case Diagram explains the basic operations for users.