Search Results for author: Omnia Zayed

Found 7 papers, 2 papers with code

A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning

no code implementations25 Mar 2024 Gaurav Negi, Rajdeep Sarkar, Omnia Zayed, Paul Buitelaar

The approach focuses on generating weakly-supervised annotations by exploiting the strengths of both large language models (LLM) and traditional syntactic dependencies.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +5

Adaptation of Word-Level Benchmark Datasets for Relation-Level Metaphor Identification

no code implementations WS 2020 Omnia Zayed, John Philip McCrae, Paul Buitelaar

The majority of current approaches pertaining to metaphor processing concentrate on word-level processing due to data availability.


Figure Me Out: A Gold Standard Dataset for Metaphor Interpretation

no code implementations LREC 2020 Omnia Zayed, John Philip McCrae, Paul Buitelaar

Metaphor comprehension and understanding is a complex cognitive task that requires interpreting metaphors by grasping the interaction between the meaning of their target and source concepts.

Retrieval Semantic Similarity +2

Phrase-Level Metaphor Identification Using Distributed Representations of Word Meaning

no code implementations WS 2018 Omnia Zayed, John Philip McCrae, Paul Buitelaar

Metaphor is an essential element of human cognition which is often used to express ideas and emotions that might be difficult to express using literal language.

Machine Translation Semantic Textual Similarity +3

C4Corpus: Multilingual Web-size Corpus with Free License

1 code implementation LREC 2016 Ivan Habernal, Omnia Zayed, Iryna Gurevych

Large Web corpora containing full documents with permissive licenses are crucial for many NLP tasks.

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