Browse State-of-the-Art › Dependency Parsing
Dependency Parsing
338 papers with code · 16 benchmarks · 15 datasets archive 2025-07-28
Dependency parsing is the task of extracting a dependency parse of a sentence that represents its grammatical structure and defines the relationships between "head" words and words, which modify those heads.
Example:
root
|
| +-------dobj---------+
| | |
nsubj | | +------det-----+ | +-----nmod------+
+--+ | | | | | | |
| | | | | +-nmod-+| | | +-case-+ |
+ | + | + + || + | + | |
I prefer the morning flight through Denver
Relations among the words are illustrated above the sentence with directed, labeled arcs from heads to dependents (+ indicates the dependent).
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
16 leaderboard tables shown for this task, 16 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. 10 shown of 16 until expanded.
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
15 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
5 subtasks in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 338 papers with code (1,407 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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6 Nov 2016 26 repositories listed Syntology ran 3 of 19 samples · 16 unverified · 2 pointer-only (licence)This paper builds off recent work from Kiperwasser & Goldberg (2016) using neural attention in a simple graph-based dependency parser.
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10 Nov 2019 8 repositories listedWe show that the use of web crawled data is preferable to the use of Wikipedia data.
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29 May 2015 7 repositories listed Syntology ran 1 of 14 samples · 13 unverifiedWe propose a technique for learning representations of parser states in transition-based dependency parsers.
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26 Mar 2019 6 repositories listedObtaining large-scale annotated data for NLP tasks in the scientific domain is challenging and expensive.
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16 Mar 2020 5 repositories listed Syntology ran 16 of 30 samples · 14 unverified · 28 pointer-only (licence)We introduce Stanza, an open-source Python natural language processing toolkit supporting 66 human languages.
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20 May 2021 4 repositories listedWe introduce Korean Language Understanding Evaluation (KLUE) benchmark.
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19 Jun 2019 4 repositories listedSemantic dependency parsing aims to identify semantic relationships between words in a sentence that form a graph.
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10 Nov 2019 3 repositories listedNatural language processing covers a wide variety of tasks predicting syntax, semantics, and information content, and usually each type of output is generated with specially designed architectures.
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3 Apr 2019 3 repositories listed Syntology ran 0 of 12 samples · 12 unverifiedWe present UDify, a multilingual multi-task model capable of accurately predicting universal part-of-speech, morphological features, lemmas, and dependency trees simultaneously for all 124 Universal Dependencies…
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22 Mar 2019 3 repositories listedWe present a reusable methodology for creation and evaluation of such tests in a multilingual setting.
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1 Aug 2018 3 repositories listedThis paper presents a sequence to sequence (seq2seq) dependency parser by directly predicting the relative position of head for each given word, which therefore results in a truly end-to-end seq2seq dependency parser…
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3 Jul 2018 3 repositories listed Syntology ran 1 of 1 samples · 0 unverifiedWhile 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…
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3 May 2018 3 repositories listedCombining pointer networks~\citep{vinyals2015pointer} with an internal stack, the proposed model first reads and encodes the whole sentence, then builds the dependency tree top-down (from root-to-leaf) in a depth-first…
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12 Feb 2018 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)Structured prediction requires searching over a combinatorial number of structures.
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12 Oct 2017 3 repositories listedLearning effective representations of sentences is one of the core missions of natural language understanding.
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24 Dec 2024 2 repositories listedWith the rapid advancement of large language models (LLMs), extensive research has been conducted to investigate the code generation capabilities of LLMs.
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24 Aug 2023 2 repositories listedThis paper presents a set of industrial-grade text processing models for Hungarian that achieve near state-of-the-art performance while balancing resource efficiency and accuracy.
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15 May 2023 2 repositories listedCompared to other information extraction approaches, interestingly only a few works exist that describe methods for a proper extraction and representation of quantities in text.
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19 Apr 2022 2 repositories listedAs Abstract Meaning Representation (AMR) implicitly involves compound semantic annotations, we hypothesize auxiliary tasks which are semantically or formally related can better enhance AMR parsing.
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13 Oct 2021 2 repositories listed Syntology ran 2 of 6 samples · 4 unverified · 6 pointer-only (licence)Natural language processing (NLP) systems have become a central technology in communication, education, medicine, artificial intelligence, and many other domains of research and development.
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5 Oct 2021 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)Inspired by the structural entropy, we construct the coding tree of the graph by minimizing the structural entropy and propose HINT, which aims to make full use of the hierarchical information contained in the text for…
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16 Sep 2021 2 repositories listedWe compare two orthogonal semi-supervised learning techniques, namely tri-training and pretrained word embeddings, in the task of dependency parsing.
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14 Sep 2021 2 repositories listed Syntology ran 1 of 7 samples · 6 unverifiedZero-shot cross-lingual information extraction (IE) describes the construction of an IE model for some target language, given existing annotations exclusively in some other language, typically English.
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17 May 2021 2 repositories listedThe proposed method has the following merits: (1) it addresses the fundamental problem that edges in a dependency tree should be constructed between subtrees; (2) the MRC framework allows the method to retrieve missing…
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24 Dec 2020 2 repositories listedThamizhiUDp uses Stanza for tokenisation and lemmatisation, ThamizhiPOSt and ThamizhiMorph for generating Part of Speech (POS) and Morphological annotations, and uuparser with multilingual training for dependency…
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1 Dec 2020 2 repositories listedThere are two major classes of natural language grammar -- the dependency grammar that models one-to-one correspondences between words and the constituency grammar that models the assembly of one or several corresponded…
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24 Nov 2020 2 repositories listedWe analyse the effect of adding morphological features to LSTM and BERT models.
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23 Oct 2020 2 repositories listedWe find that the choice of pre-trained embeddings has by far the greatest impact on parser performance and identify XLM-R as a robust choice across the languages in our study.
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10 Oct 2020 2 repositories listedPretrained contextualized embeddings are powerful word representations for structured prediction tasks.
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2 Sep 2020 2 repositories listedDDParser is extended on the graph-based biaffine parser to accommodate to the characteristics of Chinese dataset.
Syntology lines on 9 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections