It takes the average reader 5 hours and 44 minutes to read A Symbolic and Connectionist Approach To Legal Information Retrieval by Daniel E. Rose
Assuming a reading speed of 250 words per minute. Learn more
Many existing information retrieval (IR) systems are surprisingly ineffective at finding documents relevant to particular topics. Traditional systems are extremely brittle, failing to retrieve relevant documents unless the user's exact search string is found. They support only the most primitive trial-and-error interaction with their users and are also static. Even systems with so-called "relevance feedback" are incapable of learning from experience with users. SCALIR (a Symbolic and Connectionist Approach to Legal Information Retrieval) -- a system for assisting research on copyright law --...
A Symbolic and Connectionist Approach To Legal Information Retrieval by Daniel E. Rose is 336 pages long, and a total of 86,016 words.
This makes it 113% the length of the average book. It also has 105% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 7 hours and 50 minutes to read A Symbolic and Connectionist Approach To Legal Information Retrieval aloud.
A Symbolic and Connectionist Approach To Legal Information Retrieval is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
A Symbolic and Connectionist Approach To Legal Information Retrieval by Daniel E. Rose is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
To buy A Symbolic and Connectionist Approach To Legal Information Retrieval by Daniel E. Rose on Amazon click the button below.
Buy A Symbolic and Connectionist Approach To Legal Information Retrieval on Amazon