Text content created by humans or language models is often stolen or misused by
adversaries. Tracing text provenance can help claim the ownership of text content or identify …

Recent work (eg LAMA (Petroni et al., 2019)) has found that the quality of the factual
information extracted from Large Language Models (LLMs) depends on the prompts used to …

Lexical substitution (LS) aims at finding appropriate substitutes for a target word in a
sentence. Recently, LS methods based on pretrained language models have made …

We propose a new unsupervised method for lexical substitution using pre-trained language
models. Compared to previous approaches that use the generative capability of language …

Lexical substitution aims to generate a list of equivalent substitutions (ie, synonyms) to a
sentence's target word or phrase while preserving the sentence's meaning to improve …

Existing lexical substitution (LS) benchmarks were collected by asking human annotators to
think of substitutes from memory, resulting in benchmarks with limited coverage and …

Enhancing word usage is a desired feature for writing assistance. To further advance
research in this area, this paper introduces" Smart Word Suggestions"(SWS) task and …

Lexical Substitution (LS) replaces the target word or phrase with its synonym alternatives
that are equivalent in meaning. Despite the richness of the Arabic language, Arabic LS …

We present results from the development and evaluation of context-aware Lexical
simplification (LS) systems for the Swedish language. Three versions of LS models …

Lexical Substitution is the task of replacing a single word in a sentence with a similar one.
This should ideally be one that is not necessarily only synonymous, but also fits well into the …