Hi everybody this is Dave Turnquist professor of real estate at San Jacinto College and the broker owner of San Jacinto properties in Laporte Texas today we're going to look at the Trek 20-17 one to four family residential real estate contract we're going to go through it Page by Page line by line what goes there what doesn't go there and just some tips and tricks to get it done okay so page one uh paragraph one this is where the parties go the the buyer and the seller so the the seller's name will always go on the top line so in this particular case it's Samantha Simmons normally you would have uh the name to the people there it's possible that you could have an entity like if it's an estate sale it might be several people or it might be the estate of so and so or if it's a LLC or a corporation it could be in the name of the LLC or the name of the corporation for example Coca-Cola Incorporated could be the seller but in most cases our residential contracts it's going to be regular people so in this case Samantha Simmons if it's a married couple you would say Samantha Simmons and husband Mark Simmons or the other way around it doesn't really matter nobody cares who goes first or second um but you need to indicate whether they are married or not because Samantha Simmons and Mark Simmons could be brother and sister uh so Trek prefers if you say their marital status it is not required but it is preferred uh so we can assume from this that Samantha Simmons is a single person because there's no other person on the line is it possible that she's married and...
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About Trec 20-7
TREC 20-7 refers to a specific track of the Text Retrieval Conference (TREC), an annual event organized by the National Institute of Standards and Technology (NIST) to evaluate and improve information retrieval research. TREC 20-7 is an abbreviation for the 20th year and 7th track of the conference. The purpose of TREC 20-7 track was to focus on contextual suggestion tasks for users across different domains. The track aimed to develop effective systems for generating contextually appropriate suggestions based on user queries and their preceding context. These suggestions could be in the form of follow-up questions, related search queries, relevant documents, or recommendations. TREC 20-7 is primarily targeted towards researchers and scientists involved in information retrieval, natural language processing, machine learning, and related fields. It provides a platform to collaborate, benchmark, and compare various approaches and techniques in developing intelligent suggestion systems. The track enables researchers to refine their algorithms, evaluate their models, and contribute to advancing the field of contextual suggestion.
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