Papers by Ghazal Khalighinejad
Approximating CKY with Transformers (2023.findings-emnlp)
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| Challenge: | CKY algorithm is a cubic dependence on sentence length, but transformers can be used to approximate it. |
| Approach: | They propose a transformer-based approach that approximates the CKY algorithm by directly predicting a sentence's parse and avoiding its cubic dependence on sentence length. |
| Outcome: | The proposed approach achieves better performance than comparable parsers that make use of CKY, while being faster. |
MatViX: Multimodal Information Extraction from Visually Rich Articles (2025.naacl-long)
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Ghazal Khalighinejad, Sharon Scott, Ollie Liu, Kelly L. Anderson, Rickard Stureborg, Aman Tyagi, Bhuwan Dhingra
| Challenge: | Existing methods for multimodal information extraction are limited due to the multimodal nature of scientific articles and complex interconnections between data points. |
| Approach: | They propose a benchmark to extract structured information from scientific articles . they use curated JSON files extracted from text, tables, and figures . |
| Outcome: | The proposed benchmark is based on 324 full-length research articles and 1,688 complex structured JSON files curated by experts in polymer nanocomposites and biodegradation. |
Extracting Polymer Nanocomposite Samples from Full-Length Documents (2024.findings-acl)
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| Challenge: | Using large language models (LLMs) to extract sample lists of polymer nanocomposites (PNCs) from full-length materials science research papers is challenging due to the complexity of the data. |
| Approach: | They propose a benchmark and evaluation technique for extracting sample lists of polymer nanocomposites from full-length materials science research papers. |
| Outcome: | The proposed method improves the performance of LLMs and incorporates self-consistency to improve the performance. |