| Challenge: | Using cross-genre query-based biomedical information retrieval, we find the research publication that supports the primary claim made in a news article. |
| Approach: | They propose a query-based biomedical information retrieval task where the goal is to find the research publication that supports the primary claim made in a news article. |
| Outcome: | The proposed approach compares classical IR with more recent transformer-based models and shows that it is feasible but requires domain-specific knowledge. |
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| Challenge: | Thousands of articles are being added into biomedical literature each year. |
| Approach: | They compare statistical and NLP based approaches for biomedical document retrieval . they model biomedically document retrievals as a learning to rank problem . |
| Outcome: | The proposed approach is based on statistical and NLP methods and will be applied to biomedical document retrieval and ranking systems. |
Comparing Knowledge Sources for Open-Domain Scientific Claim Verification (2024.eacl-long)
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| Challenge: | Existing systems for fact-checking scientific claims assume that the documents containing the evidence are already provided and annotated or contained in a limited corpus. |
| Approach: | They perform an array of experiments to test the performance of open-domain claim verification systems on four datasets of biomedical and health claims in different settings. |
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Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies (2025.acl-long)
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Massimiliano Pronesti, Joao H Bettencourt-Silva, Paul Flanagan, Alessandra Pascale, Oisín Redmond, Anya Belz, Yufang Hou
| Challenge: | Systematic reviews are widely regarded as the gold standard in evidence-based medicine, heavily influencing medical decisions made by doctors, health authorities, and patients. |
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Parallel Corpora for the Biomedical Domain (L18-1)
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| Challenge: | Existing corpora of parallel corporata are being used in the biomedical domain . MT is known to support readers' access to textual documents in a language other than their native language . |
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Identifying and Aligning Medical Claims Made on Social Media with Medical Evidence (2024.lrec-main)
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| Challenge: | Evidence-based medicine is the practice of making medical decisions that adhere to the latest, and best known evidence available. |
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Accelerating the Discovery of Semantic Associations from Medical Literature: Mining Relations Between Diseases and Symptoms (2022.emnlp-industry)
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| Challenge: | Existing methods to extract semantic associations from medical literature do not take into account the semantics of sentences from which entity co-occurrences are extracted. |
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Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation (2021.acl-long)
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| Challenge: | Compared with general natural language texts, sentences from scientific papers usually possess wider contexts between knowledge elements. |
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Syntactic Patterns Improve Information Extraction for Medical Search (N18-2)
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Beyond Metadata: What Paper Authors Say About Corpora They Use (2021.findings-acl)
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| Challenge: | Currently, dataset retrieval relies almost exclusively on metadata provided by the publishers. |
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Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking (2022.lrec-1)
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Anton Alekseev, Zulfat Miftahutdinov, Elena Tutubalina, Artem Shelmanov, Vladimir Ivanov, Vladimir Kokh, Alexander Nesterov, Manvel Avetisian, Andrei Chertok, Sergey Nikolenko
| Challenge: | Existing approaches to medical entity linking are limited in terms of data volume and languages. |
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