Papers by Alexander Shvets

3 papers
Multilingual Extraction and Categorization of Lexical Collocations with Graph-aware Transformers (2022.starsem-1)

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Challenge: lexical collocations exhibit varying degrees of frozenness due to their varying degree of frozenncy.
Approach: They propose a sequence tagging BERT-based model enhanced with a graph-aware transformer architecture and evaluate the task of collocation recognition in context.
Outcome: The proposed model encoding syntactic dependencies is useful, and provides insights on differences in collocation typification in English, Spanish and French.
GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection? (2024.lrec-main)

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Challenge: HateCheck test cases are generic and have simplistic sentence structures that do not match the real-world data.
Approach: They propose a framework to generate more diverse and realistic functional tests from scratch by instructing large language models.
Outcome: The proposed framework generates more diverse and realistic functional tests from scratch by instructing large language models (LLMs).
Emo Pillars: Knowledge Distillation to Support Fine-Grained Context-Aware and Context-Less Emotion Classification (2025.findings-acl)

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Challenge: a recent study shows that sentiment analysis datasets lack context in which an opinion was expressed and are limited by a few emotion categories.
Approach: They propose to ground an LLM-based model into a corpus of narratives to generate stories-character-centered utterances with unique contexts over 28 emotion classes.
Outcome: The proposed model generates non-repetitive story-character-centered utterances with unique contexts over 28 emotion classes.

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