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Construction Grammar (CxG) is a paradigm from cognitive linguistics emphasising the connection between syntax and semantics.
Assessing bert’s syntactic abilities
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Roberta: A robustly optimized bert pretraining approach
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Huggingface’s transformers: State-of-the-art natural language processing
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Women, fire, and dangerous things: What categories reveal about the mind
George Lakoff. 1987 · 1987
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Foundations of cognitive grammar: Theoretical prerequisites
Ronald W. Langacker. 1987 · 1987
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Generative grammar
Noam Chomsky. 1988 · 1988
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Regularity and idiomaticity in grammatical constructions: The case of let alone
Charles J. Fillmore, Paul Kay, and Mary C. O’Connor. 1988 · 1988
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Grammatical construction: Theory and the familiar dichotomies
Charles J. Fillmore. 1989 · 1989
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Constructions: A construction grammar approach to argument structure
Adele Goldberg. 1995 · 1995
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The view from the periphery: The english comparative correlative
Peter W Culicover and Ray Jackendoff. 1999 · 1999
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Grammatical constructions and linguistic generalizations: The What’s X doing Y?
Paul Kay and Charles J. Fillmore. 1999 · 1999
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The contribution of argument structure constructions to sentence meaning
Giulia ML Bencini and Adele E Goldberg. 2000 · 2000
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Constructions: A new theoretical approach to language
Adele E Goldberg. 2003 · 2003
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Comparative correlatives comparatively
Marcel Den Dikken. 2005 · 2005
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Constructions at work: The nature of generalization in language
Adele Goldberg. 2006 · 2006
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A synchronic perspective on the grammaticalization of Swedish future constructions
Martin Hilpert. 2006 · 2006
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Comparative correlatives and parameters
Anne Abeillé and Robert D Borsley. 2008 · 2008
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Comparative correlatives in english: A minimalist-cartographic analysis
Eiichi Iwasaki and Andrew Radford. 2009 · 2009
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Scikit-learn: Machine learning in Python
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The Oxford handbook of construction grammar
Thomas Hoffmann and Graeme Trousdale. 2013 · 2013
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Evidence for automatic accessing of constructional meaning: Jabberwocky sentences prime associated verbs
Right for the wrong reasons: Diagnosing syntactic heuristics in natural language inference
Tom McCoy, Ellie Pavlick, and Tal Linzen. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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What do you learn from context? probing for sentence structure in contextualized word representations
Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R. Thomas McCoy, Najoung Kim, Benjamin van Durme, Samuel R. Bowman, Dipanjan Das, and Ellie Pavlick. 2019 · 2019
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Deberta: Decoding-enhanced bert with disentangled attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2020 · 2020
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Negated and misprimed probes for pretrained language models: Birds can talk, but cannot fly
Nora Kassner and Hinrich Schütze. 2020 · 2020
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Matt A Johnson and Adele E Goldberg. 2013 · 2013
Cited alongside, same era.
Evaluation strategies for computational construction grammars
Tânia Marques and Katrien Beuls. 2016 · 2016
Cited alongside, same era.
The LAMBADA dataset: Word prediction requiring a broad discourse context
Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, Ngoc Quan Pham, Raffaella Bernardi, Sandro Pezzelle, Marco Baroni, Gemma Boleda, and Raquel Fernández. 2016 · 2016
Cited alongside, same era.
What do neural machine translation models learn about morphology?
Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, and James Glass. 2017 · 2017
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Automatically tagging constructions of causation and their slot-fillers
Jesse Dunietz, Lori Levin, and Jaime Carbonell. 2017 · 2017
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What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
Alexis Conneau, German Kruszewski, Guillaume Lample, Loïc Barrault, and Marco Baroni. 2018 · 2018
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spaCy 2: Natural language understanding with Bloom embeddings, convolutional neural networks and incremental parsing
Matthew Honnibal and Ines Montani. 2018 · 2018
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020 · 2020
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Beyond accuracy: Behavioral testing of NLP models with CheckList
Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin, and Sameer Singh. 2020 · 2020
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CxGBERT: BERT meets construction grammar
Harish Tayyar Madabushi, Laurence Romain, Dagmar Divjak, and Petar Milin. 2020 · 2020
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Probing pretrained language models for lexical semantics
Ivan Vulić, Edoardo M. Ponti, Robert Litschko, Goran Glavaš, and Anna Korhonen. 2020 · 2020
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BLiMP: The benchmark of linguistic minimal pairs for English
Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, and Samuel R. Bowman. 2020 · 2020
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Learning to recognize dialect features
Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, and Jacob Eisenstein. 2021 · 2021
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Surface form competition: Why the highest probability answer isn’t always right
Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, and Luke Zettlemoyer. 2021 · 2021
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Frequency effects on syntactic rule learning in transformers
Jason Wei, Dan Garrette, Tal Linzen, and Ellie Pavlick. 2021 · 2021
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Calibrate before use: Improving few-shot performance of language models
Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, and Sameer Singh. 2021 · 2021
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Neural reality of argument structure constructions
Bai Li, Zining Zhu, Guillaume Thomas, Frank Rudzicz, and Yang Xu. 2022 · 2022
Closest in time.
CxLM: A construction and context-aware language model
Yu-Hsiang Tseng, Cing-Fang Shih, Pin-Er Chen, Hsin-Yu Chou, Mao-Chang Ku, and Shu-Kai Hsieh. 2022 · 2022
Closest in time.