![]() ![]() "TripAdvisor listed the 10 best destinations to visit in the United States for this year." «If you are the head of the family and you have a good job, it is easier to enroll in the mortgage loans that the bank provides». "The party must answer for the listing of the deceased in the electoral roll." ![]() "If you're going to wait for them to enlist, you're dead." «We would enlist in the party that interests us, but politics is very dirty». «I would enlist in the navy, but first I want to finish my studies». There is talk of a betrayal in the internal. «The main candidate did not list her faithful side on the election ballot. "Hundreds of thousands of volunteers join the campaigns to help those affected by the floods." «With my friend we enlisted in the university youth movement». «Today some army officers passed by the house. «José thinks about enrolling his brother in a drug recovery clinic because he doesn't listen to medical advice». Meanwhile, the words that mean the opposite of "enlist" are "desert", "abandon", "abandon", "betray", "separate", "get away", "escape", "disunite", "flee", "Run away," "slip away," "give up," "neglect," "neglect," or "empty out." Usage examples Some words with a meaning similar to "enlist" are "enroll", "affiliate", "recruit", "engage", "list", "raise", "enroll", "enroll", "register", "annotate", "Associate", "gather", "incorporate", "unite", adhere "," join "," initiate "," carry "," seize "," gather ", or" enlist ". Its use is quite common in popular use, also in the media, or academic texts. It is also used to indicate that someone joins or joins a social, political or university movement. ![]() This word is used more than anything in the military sphere, that is, in the armed forces, be it the army, navy or related bodies, such as the police or the fire department. Meanwhile, in countries like Mexico or the Dominican Republic it means "recruit", that is, requesting the help of people for a specific activity. The Royal Spanish Academy defines «enlistar» as a verb synonymous with «enlist», that is to sign up or register on a list for a specific purpose. It is usually used mainly when it comes to the registration of the armed forces or those who join a party or political movement. These experiments show how manually-labeled negative annotations can improve information extraction performance, demonstrating the importance of high-quality, fine-grained natural language annotations.The word " list " means that someone or something is put on a list or that it is registered by itself. Additionally, we perform a series of experiments to assess the value of the annotated data we created. Despite the relative simplicity of the system, it achieves the highest scores (micro- and macro- F 1, and micro- and macro-recall) out of the 20 participants in the 2014 i2b2/UTHealth Shared Task. Instead, we incorporated high-quality data to train the models by annotating additional information on top of a standard corpus. The features used for classification were quite simple, utilizing only lexical information and ignoring higher-level linguistic information such as syntax and semantics. We utilize a series of support vector machine models in conjunction with manually built lexicons to classify triggers specific to each risk factor. This paper describes a supervised machine learning approach for identifying heart disease risk factors in clinical text, and assessing the impact of annotation granularity and quality on the system’s ability to recognize these risk factors. ![]()
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