International Conference on Natural Language Processing and Information Retrieval on December 13-15, 2024 in Okayama, Japan

International Conference on Natural Language Processing and Information Retrieval on December 13-15, 2024 in Okayama, Japan

Publication:

Submitted papers will be checked plagiarism, including self-plagiarism firstly by Cross-Check and then submitted to the TPC for further review. After several rounds of rigorous review, accepted and presented papers will be published in NLPIR 2024 International Conference Proceedings Series by ACM (ISBN: 979-8-4007-1738-3), which will be submitted for Ei Compendex, Scopus indexing, etc.

 

NLPIR 2018-2023 ACM Conference Proceedings has been online in ACM Digital Library, and indexed by Ei Compendex and Scopus already.

NLPIR 2023 ACM Digital Library (ISBN: 979-8-4007-0922-7)

NLPIR 2022 ACM Digital Library (ISBN: 978-1-4503-9762-9)

NLPIR 2021 ACM Digital Library (ISBN: 978-1-4503-8735-4)

NLPIR 2020 ACM Digital Library (ISBN: 978-1-4503-7760-7)

NLPIR 2019 ACM Digital Library (ISBN: 978-1-4503-6279-5)

NLPIR 2018 ACM Digital Library (ISBN: 978-1-4503-6551-2)

 

Conference Schedule:

December 13, 2024 | 9:30 am--4 pm: Check in and Conference Materials Collection

December 14, 2024 | 10:30 am--4 pm: Opening Remarks, Keynote Speeches and Invited Speeches

December 15, 2024 | 9:30 am--4:30 pm: Invited Speeches, Parallel Sessions, Best Presentation Awards Announcements and Closing Remarks

 

Contact us:

Conference Secretary: Ms. Sophie Chen 

Email: [email protected]

Topics of interest for submission include, but are not limited to:

Fundamentals of data science, data & text mining, interactive systems, information mining and psycholinguistic

Resources for basic NLP tasks (word segmentation, tagging, stemming, parsing and syntactical analysis, corpus-based language engineering, named entity recognition, syntactic analysis, semantic analysis, discourse analysis, speech recognition, speech synthesis, etc.)

Automated knowledge aquisition and representation

Natural language understanding

Topic recognition and topic tracking, subject indexing

Event and anomaly detection - Sentiment analysis

Opinion, personality and emotion detection in social media

Author identification and plagiarism detection

Document summerisation and identification

Similarity analysis, clustering, hierarchic clustering

Methods for Classification and Categorisation

Visualisation of NLP and IR results

Name: The Asia Society of Researchers
Website: http://www.asr.org/

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