Entity Linking

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

27 leaderboard tables shown for this task, 27 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 27 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

44 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 44 until expanded.

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 277 papers with code (735 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.

• Named Entity Recognition with Bidirectional LSTM-CNNs
  26 Nov 2015 14 repositories listed Syntology ran 4 of 9 samples · 5 unverified · 4 pointer-only (licence)
  Named entity recognition is a challenging task that has traditionally required large amounts of knowledge in the form of feature engineering and lexicons to achieve high performance.
• LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
  18 Apr 2022 4 repositories listed
  In this paper, we propose \textbf{LayoutLMv3} to pre-train multimodal Transformers for Document AI with unified text and image masking.
• Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking
  14 Feb 2023 3 repositories listed
  We propose BLINKout, a new BERT-based Entity Linking (EL) method which can identify mentions that do not have corresponding KB entities by matching them to a special NIL entity.
• 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.
• WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types
  13 Apr 2022 3 repositories listed
  In this paper, we present WikiDiverse, a high-quality human-annotated MEL dataset with diversified contextual topics and entity types from Wikinews, which uses Wikipedia as the corresponding knowledge base.
• Visual FUDGE: Form Understanding via Dynamic Graph Editing
  17 May 2021 3 repositories listed
  FUDGE edits the graph structure by combining text segments (graph vertices) and pruning edges in an iterative fashion to obtain the final text entities and relationships.
• Efficient One-Pass End-to-End Entity Linking for Questions
  6 Oct 2020 3 repositories listed
  We present ELQ, a fast end-to-end entity linking model for questions, which uses a biencoder to jointly perform mention detection and linking in one pass.
• KILT: a Benchmark for Knowledge Intensive Language Tasks
  4 Sep 2020 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We test both task-specific and general baselines, evaluating downstream performance in addition to the ability of the models to provide provenance.
• Scalable Zero-shot Entity Linking with Dense Entity Retrieval
  10 Nov 2019 3 repositories listed
  This paper introduces a conceptually simple, scalable, and highly effective BERT-based entity linking model, along with an extensive evaluation of its accuracy-speed trade-off.
• Zero-Shot Entity Linking by Reading Entity Descriptions
  18 Jun 2019 3 repositories listed
  First, we show that strong reading comprehension models pre-trained on large unlabeled data can be used to generalize to unseen entities.
• INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning
  28 Sep 2024 2 repositories listed
  Medication Extraction and Mining play an important role in healthcare NLP research due to its practical applications in hospital settings, such as their mapping into standard clinical knowledge bases (SNOMED-CT, BNF,…
• ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
  31 Jul 2024 2 repositories listed
  Entity Linking (EL) and Relation Extraction (RE) are fundamental tasks in Natural Language Processing, serving as critical components in a wide range of applications.
• Mathematical Entities: Corpora and Benchmarks
  17 Jun 2024 2 repositories listed
  We then aim to test and evaluate several noteworthy natural language processing models using these corpora, to show how well they can adapt to the domain of mathematics and provide useful tools for exploring…
• Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction
  17 Oct 2023 2 repositories listed
  However, BIO-tagging scheme relies on the correct order of model inputs, which is not guaranteed in real-world NER on scanned VrDs where text are recognized and arranged by OCR systems.
• A Fair and In-Depth Evaluation of Existing End-to-End Entity Linking Systems
  24 May 2023 2 repositories listed
  We provide a more meaningful and fair in-depth evaluation of a variety of existing end-to-end entity linkers.
• Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities
  22 Feb 2023 2 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  Large-scale multi-modal pre-training models such as CLIP and PaLI exhibit strong generalization on various visual domains and tasks.
• Entity Tagging: Extracting Entities in Text Without Mention Supervision
  13 Sep 2022 2 repositories listed
  Detection and disambiguation of all entities in text is a crucial task for a wide range of applications.
• Zero-shot Entity Linking with Less Data
  1 Jul 2022 2 repositories listed
  Interestingly, we discovered that BLINK exhibits diminishing returns, i.
• Community Question Answering Entity Linking via Leveraging Auxiliary Data
  24 May 2022 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Community Question Answering (CQA) platforms contain plenty of CQA texts (i.
• EntQA: Entity Linking as Question Answering
  5 Oct 2021 2 repositories listed Syntology ran 9 of 9 samples · 0 unverified · 1 pointer-only (licence)
  A conventional approach to entity linking is to first find mentions in a given document and then infer their underlying entities in the knowledge base.
• Multimodal Entity Linking for Tweets
  7 Apr 2021 2 repositories listed
  In many information extraction applications, entity linking (EL) has emerged as a crucial task that allows leveraging information about named entities from a knowledge base.
• Robustness Gym: Unifying the NLP Evaluation Landscape
  13 Jan 2021 2 repositories listed
  Despite impressive performance on standard benchmarks, deep neural networks are often brittle when deployed in real-world systems.
• Autoregressive Entity Retrieval
  2 Oct 2020 2 repositories listed
  For instance, Encyclopedias such as Wikipedia are structured by entities (e.
• DWIE: an entity-centric dataset for multi-task document-level information extraction
  26 Sep 2020 2 repositories listed Syntology ran 5 of 14 samples · 9 unverified · 3 pointer-only (licence)
  Second, the document-level multi-task annotations require the models to transfer information between entity mentions located in different parts of the document, as well as between different tasks, in a joint learning…
• Information Extraction of Clinical Trial Eligibility Criteria
  12 Jun 2020 2 repositories listed
  Clinical trials predicate subject eligibility on a diversity of criteria ranging from patient demographics to food allergies.
• 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…
• ERNIE: Enhanced Language Representation with Informative Entities
  17 May 2019 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 1 pointer-only (licence)
  Neural language representation models such as BERT pre-trained on large-scale corpora can well capture rich semantic patterns from plain text, and be fine-tuned to consistently improve the performance of various NLP…
• They Exist! Introducing Plural Mentions to Coreference Resolution and Entity Linking
  1 Aug 2018 2 repositories listed
  To the best of our knowledge, this is the first time that plural mentions are thoroughly analyzed for these two resolution tasks.
• Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking
  13 Jul 2018 2 repositories listed
  Extraction from raw text to a knowledge base of entities and fine-grained types is often cast as prediction into a flat set of entity and type labels, neglecting the rich hierarchies over types and entities contained in…

Syntology lines on 8 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.