Browse State-of-the-Art › Drug–drug Interaction Extraction
Drug–drug Interaction Extraction
13 papers with code · 3 benchmarks · 3 datasets archive 2025-07-28
Automatic extraction of Drug-drug interaction (DDI) information from the biomedical literature.
( Image credit: Using Drug Descriptions and Molecular Structures for Drug-Drug Interaction Extraction from Literature )
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| DDI extraction 2013 corpus (10 rows) | DESC+MOL+SciBERT | Using Drug Descriptions and Molecular Structures for Drug-Drug... | code | — | Compare |
| DrugBank (3 rows) | Ours (CADGL) | CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug... | — | — | Compare |
| Drug Combination Extraction Dataset (2 rows) | Seq2Rel (w/PubMedBERT) | End-to-End n-ary Relation Extraction for Combination Drug Therapies | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
3 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
13 shown of 13 papers with code (27 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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25 Jan 2019 19 repositories listed Syntology ran 4 of 25 samples · 21 unverified · 1 pointer-only (licence)Biomedical text mining is becoming increasingly important as the number of biomedical documents rapidly grows.
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13 Jun 2019 4 repositories listed Syntology ran 0 of 2 samples · 2 unverified
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4 May 2022 2 repositories listedFurthermore, the relations in this dataset predominantly require language understanding beyond the sentence level, adding to the challenge of this task.
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7 Nov 2021 2 repositories listedA major concern with co-administration of different drugs is the high risk of interference between their mechanisms of action, known as adverse drug–drug interactions (DDIs), which can cause serious injuries to the…
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19 Apr 2021 2 repositories listedThe overwhelming amount of biomedical scientific texts calls for the development of effective language models able to tackle a wide range of biomedical natural language processing (NLP) tasks.
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20 Oct 2020 2 repositories listed Syntology ran 5 of 8 samples · 3 unverifiedDue to the compelling improvements brought by BERT, many recent representation models adopted the Transformer architecture as their main building block, consequently inheriting the wordpiece tokenization system despite…
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31 Jul 2020 2 repositories listedIn this paper, we challenge this assumption by showing that for domains with abundant unlabeled text, such as biomedicine, pretraining language models from scratch results in substantial gains over continual pretraining…
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29 Mar 2023 1 repository listedExtracting combination therapies from scientific literature inherently constitutes an n-ary relation extraction problem.
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28 May 2021 1 repository listed Syntology ran 0 of 5 samples · 5 unverifiedIn this report, we introduce SciFive, a domain-specific T5 model that has been pre-trained on large biomedical corpora.
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25 Jan 2021 1 repository listedTo address such a problem, we propose EGFI for extracting and consolidating drug interactions from large-scale medical literature text data.
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24 Oct 2020 1 repository listedSpecifically, we focus on drug description and molecular structure information as the drug database information.
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2 May 2019 1 repository listedComplex or co-existing diseases are commonly treated using drug combinations, which can lead to higher risk of adverse side effects.
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28 Jan 2017 1 repository listedThe two models, {\it AB-LSTM} and {\it Joint AB-LSTM} also use attentive pooling in the output of Bi-LSTM layer to assign weights to features.
Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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