Browse State-of-the-Art › Dialog Relation Extraction
Dialog Relation Extraction
13 papers with code · 2 benchmarks · 2 datasets archive 2025-07-28
Dialog Relation Extraction is the task of predicting the relation type between entities mentioned in dialogue. It uses multiple tokens to capture possible relations between pairs of entities in the dialogue. The popular benchmark for this task is the DialogRE dataset. The models are typically evaluated with the metric of F1 Score for both standard-setting and conversational settings.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 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 |
|---|---|---|---|---|---|
| DialogRE (17 rows) | HiDialog | Hierarchical Dialogue Understanding with Special Tokens and... | code | — | Compare |
| DDRel (1 row) | BERT | DDRel: A New Dataset for Interpersonal Relation Classification in... | 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
2 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 (14 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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17 Apr 2020 3 repositories listed Syntology ran 9 of 9 samples · 0 unverified · 5 pointer-only (licence)We present the first human-annotated dialogue-based relation extraction (RE) dataset DialogRE, aiming to support the prediction of relation(s) between two arguments that appear in a dialogue.
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26 Aug 2022 1 repository listedTo effectively exploit inherent knowledge of PLMs without extra layers and consider scattered semantic cues on the relation between the arguments, we propose a Guiding model with RelAtional Semantics using Prompt…
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30 Jul 2022 1 repository listedIn our global reasoning framework, D2G and ARG work collaboratively, iteratively performing lexical, syntactic and semantic information exchange and representation learning over the entire dialogue context.
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27 Apr 2022 1 repository listedDocument-level relation extraction (DocRE) aims to determine the relation between two entities from a document of multiple sentences.
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11 Sep 2021 1 repository listedDialogue-based relation extraction (DiaRE) aims to detect the structural information from unstructured utterances in dialogues.
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10 Sep 2021 1 repository listedExisting research studies on cross-sentence relation extraction in long-form multi-party conversations aim to improve relation extraction without considering the explainability of such methods.
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9 Sep 2021 1 repository listed Syntology ran 10 of 17 samples · 7 unverifiedExperiments on a dialogue-based RE dataset and three ERC datasets demonstrate that our model is very effective in various dialogue-based natural language understanding tasks.
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21 May 2021 1 repository listed Syntology ran 1 of 5 samples · 4 unverifiedAlthough neural models have achieved competitive results in dialogue systems, they have shown limited ability in representing core semantics, such as ignoring important entities.
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15 Apr 2021 1 repository listedTo this end, we focus on incorporating knowledge among relation labels into prompt-tuning for relation extraction and propose a Knowledge-aware Prompt-tuning approach with synergistic optimization (KnowPrompt).
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27 Dec 2020 1 repository listedDialogue relation extraction (RE) is to predict the relation type of two entities mentioned in a dialogue.
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12 Dec 2020 1 repository listedRecent advances on RE task are from BERT-based sequence modeling and graph-based modeling of relationships among the tokens in the sequence.
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4 Dec 2020 1 repository listedIn this paper, we propose the task of relation classification of interlocutors based on their dialogues.
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10 Sep 2020 1 repository listedThis graph is fed to a graph attention network for context propagation among relevant nodes, which effectively captures the dialogue context.
Syntology lines on 3 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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