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What Can Diachronic Contexts and Topics Tell Us about the Present-Day Compositionality of English Noun Compounds?

, , , , and . LREC/COLING, page 17449-17458. ELRA and ICCL, (2024)

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A Systematic Search for Compound Semantics in Pretrained BERT Architectures., and . EACL, page 1491-1504. Association for Computational Linguistics, (2023)Adaptive neuro-fuzzy prediction of operation of the bucket wheel drive based on wear of cutting elements., , , and . Adv. Eng. Softw., (2020)Classifying Noun Compounds for Present-Day Compositionality: Contributions of Diachronic Frequency and Productivity Patterns., , , and . KONVENS, page 40-51. Association for Computational Lingustics, (2023)Data storage in unreliable multi-agent networks., and . AAMAS, page 1339-1340. ACM, (2005)Understanding Computational Models of Semantic Change: New Insights from the Speech Community., , and . EMNLP, page 9209-9220. Association for Computational Linguistics, (2023)Detecting Contact-Induced Semantic Shifts: What Can Embedding-Based Methods Do in Practice?, , and . EMNLP (1), page 10852-10865. Association for Computational Linguistics, (2021)Collecting Tweets to Investigate Regional Variation in Canadian English., , and . LREC, page 6255-6264. European Language Resources Association, (2020)To Split or Not to Split: Composing Compounds in Contextual Vector Spaces., , and . EMNLP, page 16131-16136. Association for Computational Linguistics, (2023)What Can Diachronic Contexts and Topics Tell Us about the Present-Day Compositionality of English Noun Compounds?, , , , and . LREC/COLING, page 17449-17458. ELRA and ICCL, (2024)