3 citations · 3 across the 6 of their papers we have counts for
7 papers · 1 filter
SCDTour: Embedding Axis Ordering and Merging for Interpretable Semantic Change Detection
Taichi Aida, Danushka Bollegala
In Semantic Change Detection (SCD), it is a common problem to obtain embeddings that are both interpretable and high-performing. However, improving interpretability often leads to…
Analyzing Continuous Semantic Shifts with Diachronic Word Similarity Matrices
Hajime Kiyama, Taichi Aida, Mamoru Komachi +3
The meanings and relationships of words shift over time. This phenomenon is referred to as semantic shift. Research focused on understanding how semantic shifts occur over multiple…
Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes
Taichi Aida, Danushka Bollegala
The sense-aware contextualised word embeddings (SCWEs) encode semantic changes of words within the contextualised word embedding (CWE) spaces. Despite the superior performance of S…
A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection
Taichi Aida, Danushka Bollegala
Detecting temporal semantic changes of words is an important task for various NLP applications that must make time-sensitive predictions. Lexical Semantic Change Detection (SCD) ta…
Can Word Sense Distribution Detect Semantic Changes of Words?
Xiaohang Tang, Yi Zhou, Taichi Aida +2
Semantic Change Detection (SCD) of words is an important task for various NLP applications that must make time-sensitive predictions. Some words are used over time in novel ways to…
-- Predicting the Semantic Changes in Words across Corpora by Context Swapping
Taichi Aida, Danushka Bollegala
Meanings of words change over time and across domains. Detecting the semantic changes of words is an important task for various NLP applications that must make time-sensitive predi…