Semantic Dependency Parsing

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.

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

No dataset record in the archive lists this task.

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

14 shown of 14 papers with code (50 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.

• Second-Order Semantic Dependency Parsing with End-to-End Neural Networks
  19 Jun 2019 4 repositories listed
  Semantic dependency parsing aims to identify semantic relationships between words in a sentence that form a graph.
• Simpler but More Accurate Semantic Dependency Parsing
  3 Jul 2018 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  While syntactic dependency annotations concentrate on the surface or functional structure of a sentence, semantic dependency annotations aim to capture between-word relationships that are more closely related to the…
• Automated Concatenation of Embeddings for Structured Prediction
  10 Oct 2020 2 repositories listed
  Pretrained contextualized embeddings are powerful word representations for structured prediction tasks.
• Learning Joint Semantic Parsers from Disjoint Data
  17 Apr 2018 2 repositories listed
  We present a new approach to learning semantic parsers from multiple datasets, even when the target semantic formalisms are drastically different, and the underlying corpora do not overlap.
• Auxiliary Tasks to Boost Biaffine Semantic Dependency Parsing
  12 Feb 2024 1 repository listed
  The biaffine parser of Dozat and Manning (2017) was successfully extended to semantic dependency parsing (SDP) (Dozat and Manning, 2018).
• DynGL-SDP: Dynamic Graph Learning for Semantic Dependency Parsing
  1 Oct 2022 1 repository listed
  A recent success in semantic dependency parsing shows that graph neural networks can make significant accuracy improvements, owing to its powerful ability in learning expressive graph representations.
• SpecNFS: A Challenge Dataset Towards Extracting Formal Models from Natural Language Specifications
  1 Jun 2022 1 repository listed
  Evaluations show that even when using a state-of-the-art language model, there is significant room for improvement, with the best models achieving an F1 score of only 60.
• A Higher-Order Semantic Dependency Parser
  27 Jan 2022 1 repository listed
  Higher-order features bring significant accuracy gains in semantic dependency parsing.
• N-LTP: An Open-source Neural Language Technology Platform for Chinese
  24 Sep 2020 1 repository listed
  We introduce \texttt{N-LTP}, an open-source neural language technology platform supporting six fundamental Chinese NLP tasks: {lexical analysis} (Chinese word segmentation, part-of-speech tagging, and named entity…
• Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders
  1 Jul 2020 1 repository listed
  Semantic dependency parsing, which aims to find rich bi-lexical relationships, allows words to have multiple dependency heads, resulting in graph-structured representations.
• Transition-based Semantic Dependency Parsing with Pointer Networks
  27 May 2020 1 repository listed
  Transition-based parsers implemented with Pointer Networks have become the new state of the art in dependency parsing, excelling in producing labelled syntactic trees and outperforming graph-based models in this task.
• Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies
  4 Jun 2019 1 repository listed
  In Semantic Dependency Parsing (SDP), semantic relations form directed acyclic graphs, rather than trees.
• Backpropagating through Structured Argmax using a SPIGOT
  12 May 2018 1 repository listed
  We introduce the structured projection of intermediate gradients optimization technique (SPIGOT), a new method for backpropagating through neural networks that include hard-decision structured predictions (e.
• Deep Multitask Learning for Semantic Dependency Parsing
  22 Apr 2017 1 repository listed
  We present a deep neural architecture that parses sentences into three semantic dependency graph formalisms.

Syntology lines on 1 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.