2 citations · 2 across the 4 of their papers we have counts for
4 papers
Map of Encoders -- Mapping Sentence Encoders using Quantum Relative Entropy
Gaifan Zhang, Danushka Bollegala
We propose a method to compare and visualise sentence encoders at scale by creating a map of encoders where each sentence encoder is represented in relation to the other sentence e…
Annotating Training Data for Conditional Semantic Textual Similarity Measurement using Large Language Models
Gaifan Zhang, Yi Zhou, Danushka Bollegala
Semantic similarity between two sentences depends on the aspects considered between those sentences. To study this phenomenon, Deshpande et al. (2023) proposed the Conditional Sema…
CASE -- Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement
Gaifan Zhang, Yi Zhou, Danushka Bollegala
The meaning conveyed by a sentence often depends on the context in which it appears. Despite the progress of sentence embedding methods, it remains unclear as how to best modify a…
Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings
Gaifan Zhang, Yi Zhou, Danushka Bollegala
Sentence embeddings produced by Pretrained Language Models (PLMs) have received wide attention from the NLP community due to their superior performance when representing texts in n…