Sibel Adali — accepted AI-conference papers

2025

ConShift: Sense-based Language Variation Analysis using Flexible Alignment

Clare Arrington, Mauricio Gruppi, Sibel Adali

NAACL 2025findings

We introduce ConShift, a family of alignment-based algorithms that enable semantic variation analysis at the sense-level. Using independent senses of words induced from the context of tokens in two corpora, sense-enriched word embeddings are aligned using self-supervision and a flexible matching mec…

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2021

Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks

Maurício Gruppi, Pin-Yu Chen, Sibel Adali

AAAI 2021technical

The use of language is subject to variation over time as well as across social groups and knowledge domains, leading to differences even in the monolingual scenario. Such variation in word usage is often called lexical semantic change (LSC). The goal of LSC is to characterize and quantify language v…

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