Agreement evaluation Sample Clauses

Agreement evaluation. The agreement between the Customer and Cyta will be evaluated at the end of each calendar quarter by using the records and data kept by Cyta. The evaluation will be done at the network level based on the parameters mentioned above. Based on the results of the evaluation, the two parties will be responsible to take the necessary measures to continuously improve the parameters of the Agreement and the service provided by Cyta. Fault Reporting 1. Faults will be reported to the Network and Services Management Center by telephone at: +▇▇▇ ▇▇▇▇▇▇▇▇ which operates on a 24 hourX7 basis. 2. In addition faults may be reported by e-mail to the following addresses: 1. customer name and circuit ID 2. contact details of the customer’s technical person dealing with the fault (name, telephone number and e-mail) 3. an accurate and complete problem description Following the fault reporting, Cyta’s on duty staff, once requested by the customer, will open a trouble ticket. The ticket number will be given to the customer for future reference. During troubleshooting, the customer will be updated periodically for the progress. After the fault repair the customer will be notified to confirm the service recovery. If service is confirmed to be restored the trouble ticket will be closed. If a more detailed report concerning the incident is required, customers based in Cyprus may contact directly their Account Manager whereas customers based outside Cyprus may contact the National & International Wholesale Market Division at the following e-mails:   Customers should send all relevant correspondence regarding the specific incidence, together with the ticket number, if available, to the above e-mail addresses, in order to easily identify the fault and provide feedback as soon as possible.

Agreement evaluation. Table 3 compares how well two asymmetric models agree with each other among GIZA++, BERKELEY and our approach. We use F1 score to measure the degree of agreement: indirect supervision, which helps to train a more reasonable model with biased guidance. While agreement-based learning provides a principled approach to training a generative mod- el, it constrains that the sub-models must share the same output space. Our work extends (Liang et al., 2006) to introduce arbitrary loss functions that can encode prior knowledge. As a result, Liang et al. (2006)’s model is a special case of our frame- work. Another difference is that our framework allows for including the agreement between word alignment and other structures such as phrase seg- mentations and parse trees.

Agreement evaluation. You and the Company hereby agree to the terms, conditions, and covenants set forth herein. You acknowledge that this document represents your knowing and voluntary acceptance of this Agreement. You further acknowledge that you will have had up to 21 days to evaluate this Agreement. The evaluation period will end on the earlier of the date you sign this agreement or on October 20, 2021. After signing this Agreement, as provided in Section 7 below, you have seven (7) days during which you may revoke your decision.