The TAC 2018 DDI track dataset consists of 325 Structured Product Labels, in which most or some of the following sections are annotated with drug-drug.
This paper describes the Drug-Drug Interaction Extraction from Drug Labels Track, part of the 2018 Text Analysis Conference (TAC), where participants were ...
This paper describes the Drug-Drug Interaction Extraction from Drug Labels Track, part of the 2018 Text Analysis Conference (TAC). ... Eight teams submitted at ...
This paper describes the Drug-Drug Interaction Extraction from Drug Labels Track, part of the 2018 Text Analysis Conference (TAC).
The 2018 TAC drug-drug interaction extraction track aims to compare systems that extract DDIs from Structured Prod- uct Labelings for drugs. We submitted a ...
The track consists of four subtasks: 1) Extracting mentions of interacting drugs/substances, interaction triggers and specific interactions at sentence level 2).
Sep 3, 2022 · The main goal of the TAC track is to evaluate NLP approaches for information extraction performance in DDIs. In addition, TAC provides data for ...
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Nov 25, 2019 · This paper describes the Drug-Drug Interaction Extraction from Drug Labels Track, part of the 2019 Text Analysis Conference (TAC).
This paper describes the Adverse Reaction Extraction from Drug Labels Track, part of the 2017 Text Analysis Conference (TAC), where participants were ...
This paper describes the Drug-Drug Interaction Extraction from Drug Labels Track, part of the 2019 Text Analysis Conference (TAC).