1st Workshop on Ecology, Environment, and Natural Language Processing at NoDaLiDa/Baltic-HLT 2025
The 1st Workshop on Ecology, Environment, and Natural Language Processing at NoDaLiDa/Baltic-HLT 2025 is inviting submissions for original research in the field of computational linguistics and NLP tools, methods, and applications to address pressing climate change and environment-related challenges. The workshop aims to foster interdisciplinary collaboration and push the boundaries of linguistics and NLP research in the context of ecological and environmental crises.
The 1st Workshop on Ecology, Environment, and Natural Language Processing is inviting submissions for original research in the field of computational linguistics and NLP tools, methods, and applications to address pressing climate change and environment-related challenges. We are interested in contributions that push the boundaries of linguistics and NLP research in the context of ecological and environmental crises, and foster interdisciplinary collaboration. The topics of interest include, but are not limited to, Sentiment Analysis of Environmental Topics, Automated Linguistic Analysis, Detection of Anthropocentric and Speciesist Biases, Topic Modeling & Discourse/Frame Analysis, Geo-tagging and sentiment mapping of environmental discussions, Ecofeminism, environmental justice, and language, Text Classification in Environmental Contexts, Entity Recognition, Relation Extraction, and Environmental Monitoring, and Fact-checking & Greenwashing Detection. Further topics include Ecolinguistic applications of NLP, Large Language Models (LLMs) application in Climata Change and Environmental domain, Analyzing Social Media for Harmful Environmental Narratives, Corpora creation and annotation, Fairness and ethics in environmental data analysis, Environmental communication in low-resource languages, Multimodal analysis for ecological and environmental challenges, Lexical analysis in the context of sustainability and environmental discourse, Linked Data and Knowledge Graphs on ecological topics, Language diversity and inclusion in environmental narratives, Cognitive models and ecological narratives, NLP for understanding indigenous knowledge in environmental contexts, Machine learning techniques for analyzing environmental communication, NLP for tracking environmental legislation and policy discourse, NLP for analyzing environmental education and awareness campaigns, Speech recognition technologies to support ecological field research, and Development of educational chatbots or FAQs for raising environmental awareness.
Tags: Ecology, Environment, Natural Language Processing, NLP, Climate Change, Environmental Challenges, Linguistics, Computational Linguistics, Interdisciplinary Collaboration, Sentiment Analysis, Automated Linguistic Analysis, Detection of Biases, Topic Modeling, Discourse Analysis, Geo-tagging, Ecofeminism, Environmental Justice, Text Classification, Entity Recognition, Relation Extraction, Environmental Monitoring, Fact-checking, Greenwashing Detection, Ecolinguistic applications, Large Language Models, Social Media Analysis, Corpora creation, Fairness and Ethics, Environmental Communication, Low-resource languages, Multimodal analysis, Lexical analysis, Linked Data, Knowledge Graphs, Language Diversity, Indigenous Knowledge, Machine Learning, Environmental Legislation, Policy Discourse, Educational Chatbots, FAQs, Environmental Awareness, Speech Recognition Technologies, Ecological Field Research