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ICNLP 2027: International Conference on Natural Language Processing

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ICNLP
投稿締切日:
2026-11-30 残り 138 日
通知日:
2026-12-30
開催日:
2027-04-16
開催地:
Zhenjiang, China
開催回数:
閲覧: 24533   フォロー: 8   参加: 4

論文募集

ICNLP 2027 (International Conference on Natural Language Processing) is an academic conference held in Zhenjiang, China on 2027-04-16. The paper submission deadline is 2026-11-30. Acceptance notifications are sent on 2026-12-30.

Topics of ICNLP 2027 include, but are not limited to, the following: 1. Track 1: Language Analysis and Representation: Phonetics, Phonology, and Morphology; Syntax, Semantics, Discourse, Pragmatics, Dialogue, and Lexicon; Word and Sentence Representation; POS Tagging; Parsing; Semantic Role Labelling; Word-Sense Disambiguation; Semantic Analysis and Representation; Anaphora Resolution; 2. Track 2: Language Processing Models and Techniques: Mathematical, Statistical, Machine Learning, and Deep Learning Models; Mathematical and Statistical Models; Machine Learning Models; Deep Learning Models; Pretrain Language Models; Large Language Models; Prompt Engineering; Track 3: Language Resources and Tools: Language Resources and Corpora; Electronic Dictionaries, Terminologies, and Ontologies; Linked Data; Laguage Resource Construction ; Knowledge Graph ; Ontology Match and Merge; Tools for langauge resources evaluation; Track 4. Multilingual and Cross-Lingual Processing: Multilingual NLP; Machine Translation, Translation Memory Systems, and Computer-Aided Translation Tools; Text Simplification and Readability Estimation; Cross-Lingual Text Analysis and Retrieval; Track 5. Information Extraction and Retrieval: Knowledge Acquisition; Information Retrieval; Text Categorization; Information Extraction; Text Summarization; Terminology Extraction; Question Answering; Fact Checking; Track 6: Sentiment Analysis and Human Interaction:: Opinion Mining and Sentiment Analysis; Stance Recognition; Author Profiling; Dialogue Systems; Computer-Aided Language Learning; Track 7. Specialized NLP Applications: NLP for Biomedical Texts and Healthcare; NLP for the Semantic Web; NLP for Law; NLP for Audition; NLP for Education; 8. Track 8: Multi-modal Information Processing: Recent advances and applications Acquisition for Multi-Modal Data; Multi-Modal Representation; Multi-Modal Alignment and Fusion ; Cross-Modal Retrieval, Co-Training, Transfer Learning, Few/Zero-Shot Learning; Applications of Multi-Modal Information Processing;
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