Extraction of Trend Information from Newspaper Articles: Hiroshima City University at NTCIR-7 MuST
نویسنده
چکیده
Trend information is a summarization of temporal statistical data, such as changes in product prices and sales. We propose a method for extracting trend information from multiple newspaper articles. Our group participated in the T2 Subtask at TCIR-7 MuST (Multimodal Summarization for Trend Information). Our goal was to evaluate the effectiveness of our rule-based system using the data provided by TCIR-7 MuST. From the experimental results, we obtained precision of 62.9% and recall of 7.0%.
منابع مشابه
Extraction and Visualization of Trend Information from Newspaper Articles and Blogs
Trend information is a summarization of temporal statistical data, such as changes in product prices and sales. We propose a method for extracting trend information from multiple newspaper articles and blogs, and visualizing the information as graphs. As target texts for extraction of trend information, the MuST (Multimodal Summarization for Trend Information) workshop focuses on newspaper arti...
متن کاملExtraction of Opinion Sentences using Machine Learning: Hiroshima City University at NTCIR-7 MOAT
We propose a machine learning-based method for extracting opinion sentences using 13 features including about 760,000 of sentence-final expressions. We submitted two systems to the Japanese Subtask of the MOAT at 'TCIR-7 Workshop, and obtained F-values of 0.5615 and 0.3319 using lenient gold standard, and 0.5213 and 0.3561 using strict gold standard, respectively.
متن کاملHiroshima City University at NTCIR-8 Patent Mining Task
Our group participated in the subtask of technical trend map creation for the NTCIR-8 Patent Mining Task. We prepared five types of cue phrase list using statistical methods, and used them in the analysis of research papers and patents based on the Support Vector Machines. From the experimental results, we obtained Recall of 0.110 and Precision of 0.424 for research papers, and Recall of 0.430 ...
متن کاملJapanese Opinion Extraction System for Japanese Newspapers Using Machine -Learning Method
We constructed a Japanese opinion extraction system for Japanese newspaper articles using a machinelearning method for the system. We used opinionannotated articles as learning data for the machinelearning method. The system extracts opinionated sentences from newspaper articles, and specifies opinion holders and opinion polarities of the extracted sentences. The system also evaluates whether o...
متن کاملExtraction of Chronological Statistics Using Domain Specific Knowledge
This paper reports a system constructed for our participation as a group of “keio01” of Keio University in the T2N (text to number) task at the NTCIR7 MuST (Multimodal Summarization for Trend Information) task. The constructed system uses newspaper article corpora, task description and domain specific knowledge, and the system outputs chronological statistics. The statistics are ternary data wh...
متن کامل