图 书 馆
Beyond Jeopardy! The Future of WatsonBeyond Jeopardy! The Future of Watson |
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| 课程网址: | http://videolectures.net/turing100_ferrucci_beyond_jeopardy/ |
| 主讲教师: | David Ferrucci |
| 开课单位: | 国际商业机器公司 |
| 开课时间: | 2012-07-12 |
| 课程语种: | 英语 |
| 中文简介: |  自从计算机问世以来，科学家和作家就一直在设想能够直接、准确地理解和回答人们在广泛人类知识领域提出的问题的计算机系统。当知识范围很窄并且程序员预期查询时，玩具解决方案很容易创建。人工智能的真正目标是让机器像人类一样流畅、自由地消化语言，无需手动明确地为机器明确形式化知识。能够利用人类大量自然地捕获和交流的知识将促进明智决策的新时代，使用户能够高效、上下文感知和精确地访问人类每天自然创造和丰富的巨大知识财富。商业智能、医疗保健、客户支持、社会计算、科学和政府领域的应用都可以从能够更深入理解语言的计算机系统中受益。 IBM 的 DeepQA 项目旨在探索如何推进和集成自然语言处理 (NLP)、信息检索 (IR)、机器学习 (ML)、知识表示和推理 (KR&R) 以及大规模并行计算，以促进科学和应用自动问答和更一般的自然语言理解。这项挑战中一个令人兴奋的证明是开发一种计算机系统，该系统可以成功地与 Jeopardy 中的顶级人类玩家竞争！问答节目。 |
| 课程简介: | Computer systems that directly and accurately understand and answer people’s questions over a broad domain of human knowledge have been envisioned by scientists and writers since the advent of computers themselves. Toy solutions are easy to create when the knowledge is narrowly bounded and the queries anticipated by the programmers. The real goal for Artificial Intelligence is for the machine to digest language as fluently and freely as humans, eliminating the need to manually and explicitly formalize the knowledge expressly for the machine. Being able to leverage knowledge as it is prolifically and naturally captured and communicated by humans would facilitate a new era in informed decision making, giving users efficient, context-aware and precise access to the enormous wealth of knowledge humans naturally create and enrich every day. Applications in business intelligence, healthcare, customer support, social computing, science and government could all benefit from computer systems capable of deeper language understanding. The DeepQA project at IBM is aimed at exploring how advancing and integrating Natural Language Processing (NLP), Information Retrieval (IR), Machine Learning (ML), Knowledge Representation and Reasoning (KR&R) and massively parallel computation can advance the science and application of automatic Question Answering and more general natural language understanding. An exciting proof-point in this challenge was developing a computer system that could successfully compete against top human players at the Jeopardy! quiz show. |
| 关 键 词: | 机器学习; 自然语言处理; 计算机系统 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-06-16：zyk |
| 最后编审: | 2021-06-16：zyk |
| 阅读次数: | 39 |