Column Type Annotation

Description from the archive archive 2025-07-28; Papers-with-Code links inside it are rewritten to this site.

Benchmarks archive 2025-07-28

12 leaderboard tables shown for this task, 12 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 12 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

10 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

19 shown of 19 papers with code (34 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.

• TABBIE: Pretrained Representations of Tabular Data
  6 May 2021 2 repositories listed
  Existing work on tabular representation learning jointly models tables and associated text using self-supervised objective functions derived from pretrained language models such as BERT.
• Sherlock: A Deep Learning Approach to Semantic Data Type Detection
  25 May 2019 2 repositories listed Syntology ran 0 of 12 samples · 12 unverified
  Correctly detecting the semantic type of data columns is crucial for data science tasks such as automated data cleaning, schema matching, and data discovery.
• Evaluating Knowledge Generation and Self-Refinement Strategies for LLM-based Column Type Annotation
  4 Mar 2025 1 repository listed
  The strategies include using LLMs to generate term definitions, error-based refinement of term definitions, self-correction, and fine-tuning using examples and term definitions.
• Column Property Annotation using Large Language Models
  1 Jan 2025 1 repository listed
  We further explore the scenario where training data for the CPA task is available and can be used for selecting demonstrations or fine-tuning the model.
• ACCIO: Table Understanding Enhanced via Contrastive Learning with Aggregations
  7 Nov 2024 1 repository listed
  With this idea, in this paper, we introduce ACCIO, tAble understanding enhanCed via Contrastive learnIng with aggregatiOns, a novel approach to enhancing table understanding by contrasting original tables with their…
• KGLink: A column type annotation method that combines knowledge graph and pre-trained language model
  1 Jun 2024 1 repository listed
  By leveraging the strengths of KGLink, we successfully surmount challenges related to type granularity and valuable context issues, establishing it as a robust solution for the semantic annotation of tabular data.
• ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models
  27 Oct 2023 1 repository listed Syntology ran 8 of 12 samples · 4 unverified
  We introduce ArcheType, a simple, practical method for context sampling, prompt serialization, model querying, and label remapping, which enables large language models to solve CTA problems in a fully zero-shot manner.
• CHORUS: Foundation Models for Unified Data Discovery and Exploration
  16 Jun 2023 1 repository listed
  On all three tasks, we show that a foundation-model-based approach outperforms the task-specific models and so the state of the art.
• Column Type Annotation using ChatGPT
  1 Jun 2023 1 repository listed
  Column type annotation is the task of annotating the columns of a relational table with the semantic type of the values contained in each column.
• SOTAB: The WDC Schema.org Table Annotation Benchmark
  9 Jan 2023 1 repository listed
  This paper presents the WDC Schema.
• Towards an Approach based on Knowledge Graph Refinement for Tabular Data to Knowledge Graph Matching
  25 Oct 2022 1 repository listed
  This paper presents our contribution to the Accuracy Track of Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab).
• MAGIC: Mining an Augmented Graph using INK, starting from a CSV
  1 Oct 2021 1 repository listed
  A large portion of structured data does not yet reap the benefits of the Semantic Web.
• JenTab Meets SemTab 2021's New Challenges
  1 Oct 2021 1 repository listed
  While tables are a rich source of structured information, their automated use is oftentimes prevented by the inherent ambiguity contained within.
• Annotating Columns with Pre-trained Language Models
  5 Apr 2021 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  Inferring meta information about tables, such as column headers or relationships between columns, is an active research topic in data management as we find many tables are missing some of this information.
• Tough Tables: Carefully Evaluating Entity Linking for Tabular Data
  1 Nov 2020 1 repository listed
  Table annotation is a key task to improve querying the Web and support the Knowledge Graph population from legacy sources (tables).
• TURL: Table Understanding through Representation Learning
  26 Jun 2020 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  In this paper, we present TURL, a novel framework that introduces the pre-training/fine-tuning paradigm to relational Web tables.
• Sato: Contextual Semantic Type Detection in Tables
  14 Nov 2019 1 repository listed Syntology ran 1 of 10 samples · 9 unverified
  Detecting the semantic types of data columns in relational tables is important for various data preparation and information retrieval tasks such as data cleaning, schema matching, data discovery, and semantic search.
• Learning Semantic Annotations for Tabular Data
  30 May 2019 1 repository listed
  The usefulness of tabular data such as web tables critically depends on understanding their semantics.
• ColNet: Embedding the Semantics of Web Tables for Column Type Prediction
  4 Nov 2018 1 repository listed
  Automatically annotating column types with knowledge base (KB) concepts is a critical task to gain a basic understanding of web tables.

Syntology lines on 5 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.