Papers by Ashjan Alsulaimani

2 papers
An Evaluation Method for Diachronic Word Sense Induction (2020.findings-emnlp)

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Challenge: Existing methods to detect semantic shifts across time are based on time-stamped annotated biomedical data . dynamic behaviour of words contributes to semantic ambiguity, which is a challenge in many NLP tasks.
Approach: They propose an evaluation method based on large-scale time-stamped biomedical data . they propose a model which represents the temporal dimension of the task .
Outcome: The proposed method is applied to two recent DWSI systems . it provides an in-depth analysis of the models .
Improving Diachronic Word Sense Induction with a Nonparametric Bayesian method (2023.findings-acl)

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Challenge: Existing models for dichronic word Sense Induction (DWSI) are not fully explored or compared against in the current state of the art.
Approach: They propose two new models for Diachronic Word Sense Induction based on topic modelling techniques.
Outcome: The proposed models outperform the state-of-the-art models on a time-stamped dataset from the biomedical domain.

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