Using Synchronic Definitions and Semantic Relations to Classify Semantic Change Types

Analyzing Semantic Change through Lexical Replacements

意味変化分析に向けた単語埋め込みの時系列パターン分析

Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations

Word Sense Extension

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

PromptBERT: Improving BERT Sentence Embeddings with Prompts

How to Dissect a Muppet: The Structure of Transformer Embedding Spaces

Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation

What Context Features Can Transformer Language Models Use?

The Geometry of Multilingual Language Model Representations