| W11-1212 | Collection of Application to Parallel | Article Extraction | in Wikipedia . </title> Alexandre |
| N04-3001 | problem by incorporating a new | article extraction | module using machine learning |
| N03-4008 | translated for clustering after the | article extraction | phase . We use simple and fast |
| N04-3001 | between the articles . If the | article extraction | component finds a title it is |
| W15-3701 | results of annotation for people | article extraction | and matching . System segmentation |
| W15-3701 | article seg - mentation , people | article extraction | , and article matching . For |
| N04-3001 | six major phases : crawling , | article extraction | , clustering , sum - marization |
| N04-3001 | Title and date extraction The | article extraction | component also determines a title |
| P15-1084 | Wikipedia . 3.1 Content Retrieval | Article Extraction | : Wikipedia provides an API7 |
| W15-3701 | article segmentation , people | article extraction | , and article matching was evaluated |
| W15-3701 | segmentation evaluation . 4.2 Person | Article Extraction | We estimated the number of person |
| N04-3001 | learning techniques . The new | article extraction | module parses HTML into blocks |
| W15-3701 | segmentation and evaluation . 3.2 People | Article Extraction | We use the 15th edition gender |
| W15-3701 | recall and precision for person | article extraction | for each edition are computed |
| N03-4008 | Caption " , or " Other " . The | article extraction | component has been trained and |
| W15-3701 | identified by the annotator . son | article extraction | , and matching . Note that the |
| N03-4008 | the HTML pages , we use a new | article extraction | component using language-independent |
