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Representation Learning

20,822 papers

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Papers

How Well Do Text Embedding Models Understand Syntax? EMNLP 2023
On the Calibration of Large Language Models and Alignment EMNLP 2023
Learn Your Tokens: Word-Pooled Tokenization for Language Modeling EMNLP 2023
Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words EMNLP 2023
ConPrompt: Pre-training a Language Model with Machine-Generated Data for Implicit Hate Speech Detection EMNLP 2023
Words, Subwords, and Morphemes: What Really Matters in the Surprisal-Reading Time Relationship? EMNLP 2023
GRI: Graph-based Relative Isomorphism of Word Embedding Spaces EMNLP 2023
Noisy Pair Corrector for Dense Retrieval EMNLP 2023
Domain Adaptation for Sentiment Analysis Using Robust Internal Representations EMNLP 2023
Unified Representation for Non-compositional and Compositional Expressions EMNLP 2023
Error Detection for Text-to-SQL Semantic Parsing EMNLP 2023
Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy EMNLP 2023
Uniform Complexity for Text Generation EMNLP 2023
From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models EMNLP 2023
Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding EMNLP 2023
You Are What You Annotate: Towards Better Models through Annotator Representations EMNLP 2023
The Less the Merrier? Investigating Language Representation in Multilingual Models EMNLP 2023
Probing Representations for Document-level Event Extraction EMNLP 2023
Improving Multi-Criteria Chinese Word Segmentation through Learning Sentence Representation EMNLP 2023
COMET-M: Reasoning about Multiple Events in Complex Sentences EMNLP 2023
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training EMNLP 2023
Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks EMNLP 2023
Vector-Quantized Prompt Learning for Paraphrase Generation EMNLP 2023
Rethinking the Construction of Effective Metrics for Understanding the Mechanisms of Pretrained Language Models EMNLP 2023
kNN-CM: A Non-parametric Inference-Phase Adaptation of Parametric Text Classifiers EMNLP 2023