Q1. How different is the question answering aproblem from search?
Internet searches do not always provide the correct answer to the problem. However, it provides the idea to the searcher about the topic that the searcher would look towards the particular concerns related to the sudden matter.It is not easy for the search engine to give the accurate information about the topic that the searcher would assess.Also, the system consists of natural language processing that interacts with computer and human. The search engine does not have the deduction capabilities. The search engine should need to have deduction skills in which the searcher get more reliable information about the topic that the searcher is looking. Moreover, the search engine has to transform the system through formulating the bodies of information to reorganize the various part of theknowledge base. Search engine requires upgrading the search engine for question and answers. The system contains a lot of information regarding the topic, but the reliability of the information relating to the particular issue is extremely useful for the searcher.
Q2. What did the funnel of ideas look like?
The development of the search engine should be related to the knowledge base. The idea is that most of the search engine do not have the deduction capabilities that is required for thesignificance of the information related to the particular topic. However, inferenceabilitydesigns the bodies of information to the various parts of the knowledge base. On the other hand,the search engine should have to work on the relevance of the informationregarding the question answering system. The idea is that the system develops the deduction capabilities in the search engine so that the engine is capable of synthesizing the answer related to the particular question. It iscrucial for the search engine; it also improves the performance of the search engine. The up gradation in the search engine gives the competitive advantage over its competitor in the market.
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Q3. Did they know if new algorithms were broadening the funnel, or was this purely trial and error?
Ferrucci didn’t know the new algorithm; thiswas merely tested on atrail basis. Fan joined the PIQUANT team;he was teaching machines language at theUniversity of Texas. Fan formed the new algorithm to boarding the funnel idea from basic search and engine methods. He also uses “ontologies” for reference lists comprises of hundreds of thousands of places and things and their relationships. Fan provide PIQUANT team basement baseline for this system. Fan approach did not focus on games rather than concentrating the machine that could answer the Jeopardy clues. The PIQUANT team focus on the Fan strategy and building the module that providessolutions in the form of questions.
Q4. What is the approach to product development? Can you compare it to other cases you have?
The new approach adopted by following principles of the product development.
- Massive Parallelism: The Company’splanwould be to use the less computing power in order to run the other methods at the same time simultaneously. Itwould drive the operations in a particular manner.
- Many Experts: In the particular approach, Ferrucci focusedon sorting out a wide range of loosely probabilistic question and content analytics methods................
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