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natural language processing

1,929 papers

NLP

Papers

Dictionary-Aided Translation for Handling Multi-Word Expressions in Low-Resource Languages ACL 2024 Differentially Private Natural Language Models: Recent Advances and Future Directions EACL 2024 Do Text-to-Vis Benchmarks Test Real Use of Visualisations? EMNLP 2024 DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information ACL 2024 Efficient Active Learning with Adapters EMNLP 2024 Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions COLING 2024 Empowering the Future with Multilinguality and Language Diversity ACL 2024 Encoding Hierarchical Schema via Concept Flow for Multifaceted Ideology Detection ACL 2024 End-To-End Causal Effect Estimation from Unstructured Natural Language Data NeurIPS 2024 EUROPA: A Legal Multilingual Keyphrase Generation Dataset ACL 2024 Evaluating Computational Representations of Character: An Austen Character Similarity Benchmark EMNLP 2024 Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains EMNLP 2024 Evaluating Saliency Explanations in NLP by Crowdsourcing COLING 2024 Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models ACL 2024 Evaluation of Question Answer Generation for Portuguese: Insights and Datasets EMNLP 2024 Example-Driven Course Slides on Natural Language Processing Concepts ACL 2024 Executing Natural Language-Described Algorithms with Large Language Models: An Investigation COLING 2024 Experiments in Multi-Variant Natural Language Processing for Nahuatl NAACL 2024 Explainable Earnings Call Representation Learning (Student Abstract) AAAI 2024 Exploiting Careful Design of SVM Solution for Aspect-term Sentiment Analysis EMNLP 2024 Exploring Language Representation through a Resource Inventory Project ACL 2024 Exploring Large Language Models for Qualitative Data Analysis EMNLP 2024 Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques ACL 2024 Exposing propaganda: an analysis of stylistic cues comparing human annotations and machine classification EACL 2024 Fit for our purpose, not yours: Benchmark for a low-resource, Indigenous language NeurIPS 2024