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Methodology
← Generation
Natural Language Processing
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Generation
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Language Modeling
1624 directly classified papers
Papers per year
2005: 1
2006: 1
2007: 3
2008: 4
2009: 2
2010: 3
2012: 4
2013: 5
2014: 4
2015: 4
2016: 17
2017: 51
2018: 86
2019: 122
2020: 140
2021: 179
2022: 174
2023: 213
2024: 293
2025: 271
2026: 47
Papers
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling
IJCNLP 2021
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization
IJCNLP 2021
Implicit Representations of Meaning in Neural Language Models
IJCNLP 2021
TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling
IJCNLP 2021
SumPubMed: Summarization Dataset of PubMed Scientific Articles
IJCNLP 2021
Don’t Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models
IJCNLP 2021
Direction is what you need: Improving Word Embedding Compression in Large Language Models
IJCNLP 2021
ReCAM@IITK at SemEval-2021 Task 4: BERT and ALBERT based Ensemble for Abstract Word Prediction
IJCNLP 2021
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer
NIPS 2021
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation
NIPS 2021
Structural Realization with GGNNs
NAACL 2021
From back to the roots into the gated woods: Deep learning for NLP
NAACL 2021
KGP at SemEval-2021 Task 8: Leveraging Multi-Staged Language Models for Extracting Measurements, their Attributes and Relations
IJCNLP 2021
Understanding by Understanding Not: Modeling Negation in Language Models
NAACL 2021
Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle
NAACL 2021
Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models
NAACL 2021
StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer
NAACL 2021
Revisiting Simple Neural Probabilistic Language Models
NAACL 2021
When does text prediction benefit from additional context? An exploration of contextual signals for chat and email messages
NAACL 2021
Investigating variation in written forms of Nahuatl using character-based language models
NAACL 2021
Predicting Numerals in Natural Language Text Using a Language Model Considering the Quantitative Aspects of Numerals
NAACL 2021
BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language
CONLL 2021
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study
ACL 2021
A Targeted Assessment of Incremental Processing in Neural Language Models and Humans
ACL 2021
Examining the Inductive Bias of Neural Language Models with Artificial Languages
ACL 2021
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