conftrace_

Shane Steinert-Threlkeld

18 papers · 2018–2024 · 4 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+8 more ↓ ๐ŸŒ‰ Interdisciplinary Bridge ๐ŸŒ Conference Polyglot (4) ๐Ÿƒ Academic Marathon (6) ๐ŸŒˆ Renaissance Researcher (5) ๐Ÿ—บ๏ธ Taxonomy Completionist (31)
๐Ÿฃ Hot Topic Early Bird ๐ŸŒ Conference Polyglot (4) ๐Ÿƒ Academic Marathon (6) ๐Ÿงฌ Topic Evolution ๐Ÿ’Ž Century Club (18) โšก Prolific Year (5) ๐Ÿ”ฅ Unstoppable (7) ๐Ÿ—ƒ๏ธ Keyword Collector (88)

Conferences

EMNLP (10) ACL (4) NAACL (3) IJCNLP (1)

Papers

Targeted Multilingual Adaptation for Low-resource Language Families EMNLP 2024 Embedding Structure Matters: Comparing Methods to Adapt Multilingual Vocabularies to New Languages EMNLP 2023 Evaluating Transformerโ€™s Ability to Learn Mildly Context-Sensitive Languages EMNLP 2023 mSCAN: A Dataset for Multilingual Compositional Generalisation Evaluation EMNLP 2023 Learning to translate by learning to communicate EMNLP 2023 GQG: Generalized Quantifier Generalization - A Dataset for Evaluating Quantifier Semantics Understanding in Language Models EMNLP 2023 A Database for Modal Semantic Typology NAACL 2022 Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining ACL 2022 Probing for Understanding of English Verb Classes and Alternations in Large Pre-trained Language Models EMNLP 2022 Testing Pre-trained Language Modelsโ€™ Understanding of Distributivity via Causal Mediation Analysis EMNLP 2022 A Masked Segmental Language Model for Unsupervised Natural Language Segmentation NAACL 2022 Language Models Use Monotonicity to Assess NPI Licensing IJCNLP 2021 Language Models Use Monotonicity to Assess NPI Licensing ACL 2021 A multilabel approach to morphosyntactic probing EMNLP 2021 Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets EMNLP 2020 On the Spontaneous Emergence of Discrete and Compositional Signals ACL 2020 Neural Models of the Psychosemantics of โ€˜Mostโ€™ NAACL 2019 Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers ACL 2018