Conférences  >  Informatique  >  Traitement automatique des langues, Linguistique informatique

National Higher School of Computer Science and Systems Analysis in Rabat

The International Conference on Arabic Language Processing ICALP2023 aims to be one of the most important and leading conference on Arabic NLP: all branches of NLP related to Arabic or Semitic languages are welcomed. The conference focuses on all approaches from theoretical models to industrial applications. ICALP2023 will be held at ENSIAS (The National Higher School of Computer Science and Systems Analysis). We look forward to welcoming you to a scientifically inspiring event and we hope that ICALP2023 will be a highly positive scientific experience for all the participants. Our keynote speakers will shed light on a wide spectrum of research and applications as well as promote cross-pollination of research ideas and interests in Arabic Language Processing and related applications.

The organizing committee;     Email.: icalp.v2023@gmail.com

NLP; Arabic dialect processing; Automatic speech recognition; Building ontologies; Code Switching phenomena ;Comparative Linguistic Studies; Cross-Language Applications; Deep Learning for Arabic applications ; Digital Humanities ;End-to-End DNN ; Generation and Analysis; Human Machine-Dialogue ; Information retrieval on Social Networks; Linguistic Resources for Arabic NLP Applications;

Asia Society of Researchers

2023 7th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2023) will bring together researchers, which devoted their work to progress in the above described timely tasks. It will be held in Seoul, South Korea on December 15-17, 2023.

Email.: adam@asr.org

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;

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Peer review is the best mechanism for assessing scientific validity of new research that we have so far. But this mechanism has many well-known issues, such as the different incentives of the authors and reviewers, difficulties with preserving reviewer and author anonymity, confirmation and other cognitive biases that even researchers fall prey to. These intrinsic problems are exacerbated in interdisciplinary fields like Natural Language Processing (NLP) and Machine Learning (ML), where groups of researchers may vary so much in their methodology, terminology, and research agendas, that sometimes they have trouble even recognizing each other's contributions as "research". This Dagstuhl Seminar will cover a range of topics related to organization of peer review in NLP and ML