Relation Classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

8 leaderboard tables shown for this task, 8 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

23 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

3 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 160 papers with code (445 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.

• Matching the Blanks: Distributional Similarity for Relation Learning
  7 Jun 2019 13 repositories listed Syntology ran 2 of 14 samples · 12 unverified · 1 pointer-only (licence)
  General purpose relation extractors, which can model arbitrary relations, are a core aspiration in information extraction.
• LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
  2 Oct 2020 9 repositories listed Syntology ran 3 of 10 samples · 7 unverified
  In this paper, we propose new pretrained contextualized representations of words and entities based on the bidirectional transformer.
• SpanBERT: Improving Pre-training by Representing and Predicting Spans
  24 Jul 2019 6 repositories listed Syntology ran 3 of 15 samples · 12 unverified · 4 pointer-only (licence)
  We present SpanBERT, a pre-training method that is designed to better represent and predict spans of text.
• Enriching Pre-trained Language Model with Entity Information for Relation Classification
  20 May 2019 6 repositories listed Syntology ran 3 of 8 samples · 5 unverified
  In this paper, we propose a model that both leverages the pre-trained BERT language model and incorporates information from the target entities to tackle the relation classification task.
• Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
  24 Jan 2022 3 repositories listed
  Since a vast number of tables can be easily collected from web pages, spreadsheets, PDFs, and various other document types, a flurry of table pre-training frameworks have been proposed following the success of text and…
• UPB at SemEval-2020 Task 6: Pretrained Language Models for Definition Extraction
  11 Sep 2020 3 repositories listed
  This work presents our contribution in the context of the 6th task of SemEval-2020: Extracting Definitions from Free Text in Textbooks (DeftEval).
• Span-based Joint Entity and Relation Extraction with Transformer Pre-training
  17 Sep 2019 3 repositories listed
  The model is trained using strong within-sentence negative samples, which are efficiently extracted in a single BERT pass.
• Advancing NLP with Cognitive Language Processing Signals
  4 Apr 2019 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Cognitive language processing data such as eye-tracking features have shown improvements on single NLP tasks.
• Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing
  23 Jan 2019 3 repositories listed
  Our model not only utilizes entities and their latent types as features effectively but also is more interpretable by visualizing attention mechanisms applied to our model and results of LET.
• Explaining Relation Classification Models with Semantic Extents
  4 Aug 2023 2 repositories listed
  We introduce semantic extents, a concept to analyze decision patterns for the relation classification task.
• RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction
  17 Mar 2022 2 repositories listed Syntology ran 15 of 26 samples · 11 unverified · 16 pointer-only (licence)
  We introduce the task setting of Zero-Shot Relation Triplet Extraction (ZeroRTE) to encourage further research in low-resource relation extraction methods.
• Structured Prediction as Translation between Augmented Natural Languages
  14 Jan 2021 2 repositories listed
  We propose a new framework, Translation between Augmented Natural Languages (TANL), to solve many structured prediction language tasks including joint entity and relation extraction, nested named entity recognition,…
• K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
  5 Feb 2020 2 repositories listed Syntology ran 7 of 14 samples · 7 unverified
  We study the problem of injecting knowledge into large pre-trained models like BERT and RoBERTa.
• Few-shot Text Classification with Distributional Signatures
  16 Aug 2019 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  In this paper, we explore meta-learning for few-shot text classification.
• 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…
• Large-scale Exploration of Neural Relation Classification Architectures
  1 Oct 2018 2 repositories listed
  Experimental performance on the task of relation classification has generally improved using deep neural network architectures.
• End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
  5 Jan 2016 2 repositories listed
  We present a novel end-to-end neural model to extract entities and relations between them.
• Classifying Relations by Ranking with Convolutional Neural Networks
  24 Apr 2015 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Relation classification is an important semantic processing task for which state-ofthe-art systems still rely on costly handcrafted features.
• Relation Classification via Convolutional Deep Neural Network
  1 Aug 2014 2 repositories listed
• Comparative Analysis of AI Agent Architectures for Entity Relationship Classification
  3 Jun 2025 1 repository listed
  In particular, our dynamic example generation approach introduces real-time cooperative and adversarial prompting.
• Towards a More Generalized Approach in Open Relation Extraction
  28 May 2025 1 repository listed
  In this paper, we propose a generalized OpenRE setting that considers unlabeled data as a mixture of both known and novel instances.
• Towards Rehearsal-Free Continual Relation Extraction: Capturing Within-Task Variance with Adaptive Prompting
  20 May 2025 1 repository listed
  Memory-based approaches have shown strong performance in Continual Relation Extraction (CRE).
• Probing LLMs for Multilingual Discourse Generalization Through a Unified Label Set
  13 Mar 2025 1 repository listed
  Discourse understanding is essential for many NLP tasks, yet most existing work remains constrained by framework-dependent discourse representations.
• Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness
  14 Jan 2025 1 repository listed
  Facial expression captioning has found widespread application across various domains.
• GLiREL -- Generalist Model for Zero-Shot Relation Extraction
  6 Jan 2025 1 repository listed
  We introduce GLiREL (Generalist Lightweight model for zero-shot Relation Extraction), an efficient architecture and training paradigm for zero-shot relation classification.
• Annotations for Exploring Food Tweets From Multiple Aspects
  9 Dec 2024 1 repository listed
  This research builds upon the Latvian Twitter Eater Corpus (LTEC), which is focused on the narrow domain of tweets related to food, drinks, eating and drinking.
• GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains
  1 Nov 2024 1 repository listed
  Work on shallow discourse parsing in English has focused on the Wall Street Journal corpus, the only large-scale dataset for the language in the PDTB framework.
• Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?
  14 Oct 2024 1 repository listed Syntology ran 5 of 6 samples · 1 unverified
  Large Language Models (LLM) have recently shown promising performance in temporal reasoning tasks such as temporal question answering.
• Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering
  24 Sep 2024 1 repository listed
  While being one of the most popular question types, simple questions such as "Who is the author of Cinderella?
• LLM with Relation Classifier for Document-Level Relation Extraction
  25 Aug 2024 1 repository listed
  Large language models (LLMs) have created a new paradigm for natural language processing.

Syntology lines on 11 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.