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Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis.

, , , , , , , , , and . WASSA@ACL, page 19-27. Association for Computational Linguistics, (2023)

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From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples., , , and . CoRR, (2024)A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis., , , , , , , and . EACL (1), page 2734-2752. Association for Computational Linguistics, (2024)Active Learning Design Choices for NER with Transformers., , , , and . LREC/COLING, page 321-334. ELRA and ICCL, (2024)Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis., , , , , , , , , and . CoRR, (2022)Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference., , , , and . CoRR, (2023)An Unsupervised Method for Learning Representations of Multi-word Expressions for Semantic Classification., , , and . COLING, page 3346-3356. International Committee on Computational Linguistics, (2020)A Weak Supervision Approach for Few-Shot Aspect Based Sentiment., , , , , , , and . CoRR, (2023)From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction., , , , and . CoRR, (2022)From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction., , , , , and . LREC, page 6180-6189. European Language Resources Association, (2022)Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification., , , , and . CoRR, (2024)