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Methodology
← Resources & Methods
Natural Language Processing
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Text Representation
2246 directly classified papers
Papers per year
2006: 2
2007: 4
2008: 1
2009: 6
2010: 2
2011: 3
2012: 3
2013: 7
2014: 7
2015: 4
2016: 30
2017: 126
2018: 177
2019: 231
2020: 245
2021: 296
2022: 240
2023: 210
2024: 292
2025: 297
2026: 63
Papers
IsoScore: Measuring the Uniformity of Embedding Space Utilization
ACL 2022
TS-ANNO: An Annotation Tool to Build, Annotate and Evaluate Text Simplification Corpora
ACL 2022
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation
EMNLP 2022
Recent Advances in Pre-trained Language Models: Why Do They Work and How Do They Work
IJCNLP 2022
IRB-NLP at SemEval-2022 Task 1: Exploring the Relationship Between Words and Their Semantic Representations
SEMEVAL 2022
An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers
ACL 2022
Subword-based Cross-lingual Transfer of Embeddings from Hindi to Marathi and Nepali
NAACL 2022
When classifying grammatical role, BERT doesn’t care about word order... except when it matters
ACL 2022
Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models
ACL 2022
English-Malay Cross-Lingual Embedding Alignment using Bilingual Lexicon Augmentation
ACL 2022
BabelNet Meaning Representation: A Fully Semantic Formalism to Overcome Language Barriers
AAAI 2022
Uppsala University at SemEval-2022 Task 1: Can Foreign Entries Enhance an English Reverse Dictionary?
NAACL 2022
Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users
ACL 2022
Towards Automatic Short Answer Assessment for Finnish as a Paraphrase Retrieval Task
NAACL 2022
Challenging America: Modeling language in longer time scales
NAACL 2022
Analysis of Gender Bias in Social Perception and Judgement Using Chinese Word Embeddings
NAACL 2022
BERTSeg: BERT Based Unsupervised Subword Segmentation for Neural Machine Translation
AACL 2022
Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word Embeddings
NAACL 2022
SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable Semantic Features
AACL 2022
Semantic Shift Stability: Efficient Way to Detect Performance Degradation of Word Embeddings and Pre-trained Language Models
AACL 2022
MaxMatch-Dropout: Subword Regularization for WordPiece
COLING 2022
Edinburgh at SemEval-2022 Task 1: Jointly Fishing for Word Embeddings and Definitions
NAACL 2022
Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract)
AAAI 2022
Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph
ACL 2022
Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity
COLING 2022
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