图 书 馆
用于关系抽取的潜在关系模型Latent Relational Model for Relation Extraction |
|
| 课程网址: | http://videolectures.net/eswc2019_rossiello_latent_relational/ |
| 主讲教师: | Gaetano Rossiello |
| 开课单位: | 巴里大学计算机科学系 |
| 开课时间: | 2019-12-10 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Analogy is a fundamental component of the way we think and process thought. Solving a word analogy problem, such as mason is to stone as carpenter is to wood, requires capabilities in recognizing the implicit relations between the two word pairs. In this paper, we describe the analogy problem from a computational linguistics point of view and explore its use to address relation extraction tasks. We extend a relational model that has been shown to be effective in solving word analogies and adapt it to the relation extraction problem. Our experiments show that this approach outperforms the state-of-the-art methods on a relation extraction dataset, opening up a new research direction in discovering implicit relations in text through analogical reasoning. |
| 关 键 词: | 语义网; 联合机器学习; 工程和管理见解; 关系提取问题; 类比推理发现文本; 关系提取数据集 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-09-20：cyh |
| 最后编审: | 2022-09-21：cyh |
| 阅读次数: | 15 |