Entity Disambiguation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

11 leaderboard tables shown for this task, 11 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 11 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

13 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.

Most implemented papers archive 2025-07-28

30 shown of 63 papers with code (156 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.

• ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking
  8 Jul 2022 3 repositories listed
  The model is capable of generalising to large-scale knowledge bases such as Wikidata (which has 15 times more entities than Wikipedia) and of zero-shot entity linking.
• Improving Entity Disambiguation by Reasoning over a Knowledge Base
  8 Jul 2022 3 repositories listed
  Recent work in entity disambiguation (ED) has typically neglected structured knowledge base (KB) facts, and instead relied on a limited subset of KB information, such as entity descriptions or types.
• Deep Joint Entity Disambiguation with Local Neural Attention
  17 Apr 2017 3 repositories listed
  We propose a novel deep learning model for joint document-level entity disambiguation, which leverages learned neural representations.
• Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning
  23 May 2023 2 repositories listed Syntology ran 2 of 14 samples · 12 unverified
  In this work, we demonstrate that formal grammars can describe the output space for a much wider range of tasks and argue that GCD can serve as a unified framework for structured NLP tasks in general.
• Biomedical Interpretable Entity Representations
  17 Jun 2021 2 repositories listed
  Pre-trained language models induce dense entity representations that offer strong performance on entity-centric NLP tasks, but such representations are not immediately interpretable.
• Autoregressive Entity Retrieval
  2 Oct 2020 2 repositories listed
  For instance, Encyclopedias such as Wikipedia are structured by entities (e.
• Learning Dynamic Context Augmentation for Global Entity Linking
  4 Sep 2019 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Despite of the recent success of collective entity linking (EL) methods, these "global" inference methods may yield sub-optimal results when the "all-mention coherence" assumption breaks, and often suffer from high…
• EntEval: A Holistic Evaluation Benchmark for Entity Representations
  31 Aug 2019 2 repositories listed
  Rich entity representations are useful for a wide class of problems involving entities.
• RAKG:Document-level Retrieval Augmented Knowledge Graph Construction
  14 Apr 2025 1 repository listed
  With the rise of knowledge graph based retrieval-augmented generation (RAG) techniques such as GraphRAG and Pike-RAG, the role of knowledge graphs in enhancing the reasoning capabilities of large language models (LLMs)…
• FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework
  4 Feb 2025 1 repository listed
  We introduce FewTopNER, a novel framework that integrates few-shot named entity recognition (NER) with topic-aware contextual modeling to address the challenges of cross-lingual and low-resource scenarios.
• Enriching Social Science Research via Survey Item Linking
  20 Dec 2024 1 repository listed
  By benchmarking deep learning systems for each of the two stages independently and sequentially, we demonstrate that the task is feasible, but observe that errors propagate from the first stage, leading to a lower…
• Unsupervised Named Entity Disambiguation for Low Resource Domains
  13 Dec 2024 1 repository listed
  In the ever-evolving landscape of natural language processing and information retrieval, the need for robust and domain-specific entity linking algorithms has become increasingly apparent.
• Newswire: A Large-Scale Structured Database of a Century of Historical News
  13 Jun 2024 1 repository listed
  A text classifier is used to ensure that we only include newswire articles, which historically are in the public domain.
• REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking
  19 Apr 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  Extracting structured information from unstructured text is critical for many downstream NLP applications and is traditionally achieved by closed information extraction (cIE).
• EntGPT: Linking Generative Large Language Models with Knowledge Bases
  9 Feb 2024 1 repository listed
  Additionally, our instruction tuning method (EntGPT-I) improves micro-F_1 scores by 2.
• Universal Knowledge Graph Embeddings
  23 Oct 2023 1 repository listed
  Most of them obtain embeddings by learning the structure of the knowledge graph within a link prediction setting.
• A Read-and-Select Framework for Zero-shot Entity Linking
  19 Oct 2023 1 repository listed
  Zero-shot entity linking (EL) aims at aligning entity mentions to unseen entities to challenge the generalization ability.
• Exploring Partial Knowledge Base Inference in Biomedical Entity Linking
  18 Mar 2023 1 repository listed
  Biomedical entity linking (EL) consists of named entity recognition (NER) and named entity disambiguation (NED).
• Disambiguation of Company names via Deep Recurrent Networks
  7 Mar 2023 1 repository listed
  Moreover, we show that Active Learning prioritisation is indeed helpful when labelling resources are limited, and let the learning models reach the out-of-sample performance saturation with less labelled data with…
• KILM: Knowledge Injection into Encoder-Decoder Language Models
  17 Feb 2023 1 repository listed
  Large pre-trained language models (PLMs) have been shown to retain implicit knowledge within their parameters.
• TempEL: Linking Dynamically Evolving and Newly Emerging Entities
  5 Feb 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  For that study, we introduce TempEL, an entity linking dataset that consists of time-stratified English Wikipedia snapshots from 2013 to 2022, from which we collect both anchor mentions of entities, and these target…
• Entity Disambiguation with Entity Definitions
  11 Oct 2022 1 repository listed
  Local models have recently attained astounding performances in Entity Disambiguation (ED), with generative and extractive formulations being the most promising research directions.
• Logical Form Generation via Multi-task Learning for Complex Question Answering over Knowledge Bases
  1 Oct 2022 1 repository listed
  Question answering over knowledge bases (KBQA) for complex questions is a challenging task in natural language processing.
• KaFSP: Knowledge-Aware Fuzzy Semantic Parsing for Conversational Question Answering over a Large-Scale Knowledge Base
  1 May 2022 1 repository listed
  In this paper, we study two issues of semantic parsing approaches to conversational question answering over a large-scale knowledge base: (1) The actions defined in grammar are not sufficient to handle uncertain…
• ExtEnD: Extractive Entity Disambiguation
  1 May 2022 1 repository listed
  Local models for Entity Disambiguation (ED) have today become extremely powerful, in most part thanks to the advent of large pre-trained language models.
• LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs
  20 Apr 2022 1 repository listed
  The medical conversational system can relieve the burden of doctors and improve the efficiency of healthcare, especially during the pandemic.
• Named Entity Recognition for Entity Linking: What Works and What’s Next
  1 Nov 2021 1 repository listed
  Entity Linking (EL) systems have achieved impressive results on standard benchmarks mainly thanks to the contextualized representations provided by recent pretrained language models.
• Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text
  15 Oct 2021 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Named entity disambiguation (NED), which involves mapping textual mentions to structured entities, is particularly challenging in the medical domain due to the presence of rare entities.
• Highly Parallel Autoregressive Entity Linking with Discriminative Correction
  8 Sep 2021 1 repository listed Syntology ran 1 of 4 samples · 3 unverified
  Generative approaches have been recently shown to be effective for both Entity Disambiguation and Entity Linking (i.
• SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles
  20 Aug 2021 1 repository listed
  To the best of our knowledge, SoMeSci is the most comprehensive corpus about software mentions in scientific articles, providing training samples for Named Entity Recognition, Relation Extraction, Entity Disambiguation,…

Syntology lines on 6 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.