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Explicitly Modeling Syntax in Language Models with Incremental Parsing
  and a Dynamic Oracle
v1v2 (latest)

Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle

21 October 2020
Songlin Yang
Shawn Tan
Alessandro Sordoni
Siva Reddy
Rameswar Panda
ArXiv (abs)PDFHTML

Papers citing "Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle"

5 / 5 papers shown
From Partial to Strictly Incremental Constituent Parsing
From Partial to Strictly Incremental Constituent Parsing
Ana Ezquerro
Carlos Gómez-Rodríguez
David Vilares
342
2
0
05 Feb 2024
How Well Do Text Embedding Models Understand Syntax?
How Well Do Text Embedding Models Understand Syntax?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yan Zhang
Zhaopeng Feng
Zhiyang Teng
Zuozhu Liu
Haizhou Li
324
6
0
14 Nov 2023
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and reviewNature Machine Intelligence (Nat. Mach. Intell.), 2022
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Robert Bamler
Zhijing Jin
690
139
0
06 Oct 2022
Dependency-based Mixture Language Models
Dependency-based Mixture Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Zhixian Yang
Xiaojun Wan
316
3
0
19 Mar 2022
Structural Guidance for Transformer Language Models
Structural Guidance for Transformer Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Peng Qian
Tahira Naseem
R. Levy
Ramón Fernández Astudillo
320
35
0
30 Jul 2021
1
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