2.okbqa.org

okbqa2

OKBQA (Open Knowledge Base and Question Answering) aims to make an open source project and shared tasks by developing a system to generate knowledge base from web text resources with linking the existing knowledge resources for the given set of natural language queries, and to generate SPARQL queries from natural language queries to have answers from the knowledge base. The outcome of the hackathon will be made publicly available, to promote progress of relevant technology and applications.

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okbqa2 | 2.okbqa.org Reviews

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OKBQA (Open Knowledge Base and Question Answering) aims to make an open source project and shared tasks by developing a system to generate knowledge base from web text resources with linking the existing knowledge resources for the given set of natural language queries, and to generate SPARQL queries from natural language queries to have answers from the knowledge base. The outcome of the hackathon will be made publicly available, to promote progress of relevant technology and applications.

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2 okbqa2

3 schedule

4 accommodation

5 program

6 session leaders

7 prerequisite

8 planning

9 server

10 resources

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okbqa2 | 2.okbqa.org Reviews

https://2.okbqa.org

OKBQA (Open Knowledge Base and Question Answering) aims to make an open source project and shared tasks by developing a system to generate knowledge base from web text resources with linking the existing knowledge resources for the given set of natural language queries, and to generate SPARQL queries from natural language queries to have answers from the knowledge base. The outcome of the hackathon will be made publicly available, to promote progress of relevant technology and applications.

INTERNAL PAGES

2.okbqa.org

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Accommodation - okbqa2

http://2.okbqa.org/hackathon2015/accomodation

Click] Note to a Taxi Driver : Daejeon Government Complex Lotte City Hotel KAIST. To Daejeon Government Complex. Bus Information from Incheon Airport to Daejeon Government Complex. Incheon Airport and Lotte City Hotel and KAIST.

2

Session Leaders - okbqa2

http://2.okbqa.org/hackathon2015/session-leaders

3

Schedule - okbqa2

http://2.okbqa.org/hackathon2015/schedule

4

Recent site activity - okbqa2

http://2.okbqa.org/system/app/pages/recentChanges

May 25, 2015, 1:36 AM. Jin-Dong Kim edited Previous events. May 25, 2015, 1:35 AM. Jin-Dong Kim edited Previous events. May 25, 2015, 1:35 AM. Jin-Dong Kim created Previous events. May 25, 2015, 1:35 AM. Jin-Dong Kim deleted Facilities. May 25, 2015, 1:34 AM. Jin-Dong Kim deleted Accommodation. May 25, 2015, 1:34 AM. Jin-Dong Kim deleted attachment date-of-accommodation.png. May 25, 2015, 1:34 AM. Jin-Dong Kim deleted attachment date-of-accommodation2.png. May 25, 2015, 1:06 AM. May 25, 2015, 1:03 AM.

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3.okbqa.org

NLQ shared task - OKBQA3

http://3.okbqa.org/nlq

Is a series of evaluation campaigns on OKBQA. Open Knowledge Base and Question Answering), that has been originated by Exobrain. The natural language queries in the NLQ series are prepared such that they are answerable from the Wikipedia, while their generated SPARQL queries will be asked against DBpedia and other LODs. But this NLQ shared task does not assume the already-existing DBpedia and other LODs. The first release: NLQ1. Data sets are available:. Raw data (JSON): click. Oct 11, 2015, 4:23 AM.

4.okbqa.org

Home - OKBQA-4

http://4.okbqa.org/kr/home

OKBQA Workshop at COLING 2016. 최근 인공지능 기술의 비약적인 발전으로 이에 대한 관심이 높아지고 있습니다. 특히 자연어 질의-응답(QA) 시스템은 복잡한 정보기기를 누구나 쉽게 사용할 수 있게 해줄 것이라는 기대 때문에 많은 관심의 대상이 되고 있습니다. 하지만, IBM의 Watson 등이 가능성을 보여주고, 애플의 시리, 구글의 나우, 마이크로소프트의 코타나 등 실제 사용을 위한 제품들이 계속 개발되고 있지만, 아직 제한적인 활용만 가능한 상태라서, 더 많은 연구 개발을 필요로 하는 분야이기도 합니다. 자연어 QA 시스템은 자연언어처리, 그래프 처리, 시멘틱웹 기술, 지식 기반 구축 등 많은 요소 기술을 필요로 하는 복합적인 시스템입니다. 어느 한 개발자 혹은 개발그룹이 이러한 많은 기술을 한꺼번에 보유하기는 쉽지 않기 때문에, 자연어 QA시스템의 이러한 복잡성은, 신규 개발자에게 진입장벽으로 작용해 왔습니다. 2016년 7월 16일 토요일 - 17일 일요일. OKBQA ...

4.okbqa.org

Documentation - OKBQA-4

http://4.okbqa.org/development/documentation

OKBQA Workshop at COLING 2016.

4.okbqa.org

Organization - OKBQA-4

http://4.okbqa.org/organization

OKBQA Workshop at COLING 2016.

4.okbqa.org

Prerequisites - OKBQA-4

http://4.okbqa.org/development/prerequisites

OKBQA Workshop at COLING 2016. For efficient collaboration, participants are expected to be familiar with relevant technologies and resources. SPARQL 1.1 Query Language. OWL 2 Web Ontology Language Document Overview. Any modern programming language should be fine, if modules for handling the above standards are available. Java, Perl, Python, Ruby, Javascript, . Become a git guru. A successful Git branching model. Virtuoso open source: repository. CURL unix command (.

4.okbqa.org

Mentors - OKBQA-4

http://4.okbqa.org/organization/program/hackathon/mentors

OKBQA Workshop at COLING 2016. Database Center for Life Science.

4.okbqa.org

Program - OKBQA-4

http://4.okbqa.org/organization/program

OKBQA Workshop at COLING 2016.

4.okbqa.org

Planning - OKBQA-4

http://4.okbqa.org/development/planning

OKBQA Workshop at COLING 2016. To improve each and every module in the current. For solving challenging questions. For each day,. 1) we choose 3 - 5 challenging questions to which the current OKBQA framework cannot find correct answers,. 2) find out where the problems are,. 3) and solve the problems. In this way, we aims to improve the performance of current OKBQA pipeline step-by-step every day. To develop other new strategies that can help improve the current OKBQA framework.

4.okbqa.org

행사 안내 (한국어) - OKBQA-4

http://4.okbqa.org/organization/korean-notice

OKBQA Workshop at COLING 2016. International Hackathon on Open Knowledge Base and Question-Answering. Http:/ 2016.okbqa.org. 을 주제로 하는 오픈프로젝트. 에 대한 튜토리얼 ,. 인공지능의 활발한 적용에 따라 IBM Watson, Google Assistant, Microsoft Tay. 및 Cortana, Apple Siri. 와 같은 시스템이 상업적 가치를 높이고 있습니다 . 는 오픈프로젝트로서 국제적으로 인정된 우수이론에 입각한 모듈의 적용과 이의 통합기술의 공유를 통해 국제표준적 테스팅과 응용시스템에의 적용. 을 활성화하여 ,. 질의응답 및 지식베이스 기술의 저변확대와 국제적 기술협업에 의한 오픈소스 ,. 은 각 질의응답 및 지식베이스 모듈이 독립적으로 개발되더라도 접속표준에 의하여 다른 여러 팀이 만든 모듈을 교환하여 사용할 수 있는 체제 및 테스팅에 관한 것입니다 . 의 변형 및 적용.

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okbqa2

OKBQA (Open Knowledge Base and Question Answering) aims to make an open source project and shared tasks by developing a system to generate knowledge base from web text resources with linking the existing knowledge resources for the given set of natural language queries, and to generate SPARQL queries from natural language queries to have answers from the knowledge base. The outcome of the hackathon will be made publicly available, to promote progress of relevant technology and applications.

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