3.okbqa.org

OKBQA3

Aims at facilitating open collaboration for development of knowledge base and question-answering technology which will become the core of many intelligent systems. Naturally being interdisciplinary collaboration,. It will be based on cutting-edge technology of Semantic Web, Natural Language Processing, Machine Learning,. And so on. In this year, as a special theme of interest, a medical application, e.g., infectious diseases, will also. Camellia Room, HOTEL BÂREVE, Seogwipo, Jeju, Korea.

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OKBQA3 | 3.okbqa.org Reviews

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Aims at facilitating open collaboration for development of knowledge base and question-answering technology which will become the core of many intelligent systems. Naturally being interdisciplinary collaboration,. It will be based on cutting-edge technology of Semantic Web, Natural Language Processing, Machine Learning,. And so on. In this year, as a special theme of interest, a medical application, e.g., infectious diseases, will also. Camellia Room, HOTEL BÂREVE, Seogwipo, Jeju, Korea.

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OKBQA3 | 3.okbqa.org Reviews

https://3.okbqa.org

Aims at facilitating open collaboration for development of knowledge base and question-answering technology which will become the core of many intelligent systems. Naturally being interdisciplinary collaboration,. It will be based on cutting-edge technology of Semantic Web, Natural Language Processing, Machine Learning,. And so on. In this year, as a special theme of interest, a medical application, e.g., infectious diseases, will also. Camellia Room, HOTEL BÂREVE, Seogwipo, Jeju, Korea.

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3.okbqa.org

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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.

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kschoi.blogspot.com

Prof. Key-Sun Choi: 3월 2009

http://kschoi.blogspot.com/2009_03_01_archive.html

Keynote and Invited Speech. 한국인지심리학회, 제주대학, Jan. 21, 2016. DBpedia and Multilingualism",. 4th Workshop on Linked Data in Linguistics: Resources and. 언어자원 및 지식자원 표준", 한글및한국어정보처리학술대회. 전주, Oct. 16, 2015. DBpedia as Collective Intelligence and Unified Access" , ICCI2014. Sep 24-26, 2014. Toward Cyber-Human Knowledge Equilibrium", CASIS. NII, Tokyo, March 18, 2013. 8220;DBpedia Localization with Life Cycle”, SRII Summit, Bangkok, Sep. 18, 2013. Seoul, Nov. 11, 2013. Linked Open Data for NLP or by NLP? LOD2: O...

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.

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OKBQA3

Aims at facilitating open collaboration for development of knowledge base and question-answering technology which will become the core of many intelligent systems. Naturally being interdisciplinary collaboration,. It will be based on cutting-edge technology of Semantic Web, Natural Language Processing, Machine Learning,. And so on. In this year, as a special theme of interest, a medical application, e.g., infectious diseases, will also. Camellia Room, HOTEL BÂREVE, Seogwipo, Jeju, Korea.

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