Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: texts. Second, the goal is not to obtain asummary of the complete documents, but the ansrsgiven in the documents to several questions. As inputto the system, apart from the documents themselves,the participants are provided with the questions andalso the snippets that ansr those questions, beingthe latter generated by the QA systems participatingin another TAC 2008 task.Oursystemisbasedonthecombinationofthesnip-pets provided for the summary construction. In orderto make the text more readable and complete the in-formation, the process starts looking for the most re-levant sentences in relation to the snippets, which arethen used to generate the text that will ﬂnally com-pose the summary. Our system is therefore focusedon the sentence extraction phase.  have obtainedgood results with the pyramid F-score and overall res-ponsiveness measures, achieving the second and ﬂrstplace respectively among the participating systems.In the following sections  describe the architec-ture of the system in ﬂrst place, and continue dis-cussing the results obtained in the evaluation process.Finally,  conclude discussing the strong and akpoints of our system.
['Fermín L. Cruz', 'José A. Troyano', 'F. Javier Ortega', 'Fernando Enríquez']
I am writing a research paper on a idea The Italica System at TAC 2008 Opinion Summarization Task
[{"from": "human", "value": "I am writing a research paper on a idea The Italica System at TAC 2008 Opinion Summarization Task"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: texts. Second, the goal is not to obtain asummary of the complete documents, but the ansrsgiven in the documents to several questions. As inputto the system, apart from the documents themselves,the participants are provided with the questions andalso the snippets that ansr those questions, beingthe latter generated by the QA systems participatingin another TAC 2008 task.Oursystemisbasedonthecombinationofthesnip-pets provided for the summary construction. In orderto make the text more readable and complete the in-formation, the process starts looking for the most re-levant sentences in relation to the snippets, which arethen used to generate the text that will \ufb02nally com-pose the summary. Our system is therefore focusedon the sentence extraction phase.  have obtainedgood results with the pyramid F-score and overall res-ponsiveness measures, achieving the second and \ufb02rstplace respectively among the participating systems.In the following sections  describe the architec-ture of the system in \ufb02rst place, and continue dis-cussing the results obtained in the evaluation process.Finally,  conclude discussing the strong and akpoints of our system."}]