Entity Extraction using GAN

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

22 shown of 22 papers with code (127 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.

• Revisiting Semi-Supervised Learning with Graph Embeddings
  29 Mar 2016 26 repositories listed Syntology ran 15 of 28 samples · 13 unverified · 4 pointer-only (licence)
  We present a semi-supervised learning framework based on graph embeddings.
• A Unified MRC Framework for Named Entity Recognition
  25 Oct 2019 8 repositories listed Syntology ran 2 of 5 samples · 3 unverified · 2 pointer-only (licence)
  Instead of treating the task of NER as a sequence labeling problem, we propose to formulate it as a machine reading comprehension (MRC) task.
• Automatic Labeling for Entity Extraction in Cyber Security
  22 Aug 2013 3 repositories listed
  Timely analysis of cyber-security information necessitates automated information extraction from unstructured text.
• Named Entity Extraction with Finite State Transducers
  20 Jun 2020 2 repositories listed
  We describe a named entity tagging system that requires minimal linguistic knowledge and can be applied to more target languages without substantial changes.
• MT-Clinical BERT: Scaling Clinical Information Extraction with Multitask Learning
  21 Apr 2020 2 repositories listed
  Clinical notes contain an abundance of important but not-readily accessible information about patients.
• CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning
  24 Nov 2019 2 repositories listed
  The model is extremely weak at differing the head and tail entity, resulting in inaccurate entity extraction.
• A Hierarchical Framework for Relation Extraction with Reinforcement Learning
  9 Nov 2018 2 repositories listed
  The whole extraction process is decomposed into a hierarchy of two-level RL policies for relation detection and entity extraction respectively, so that it is more feasible and natural to deal with overlapping relations.
• PAMPO: using pattern matching and pos-tagging for effective Named Entities recognition in Portuguese
  30 Dec 2016 2 repositories listed
  This paper deals with the entity extraction task (named entity recognition) of a text mining process that aims at unveiling non-trivial semantic structures, such as relationships and interaction between entities or…
• Robust Benchmarking for Machine Learning of Clinical Entity Extraction
  31 Jul 2020 1 repository listed
  We reformulate the annotation framework for clinical entity extraction to factor in these issues to allow for robust end-to-end system benchmarking.
• Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction
  1 Jul 2020 1 repository listed
  The opinion entity extraction unit and the relation detection unit are developed as two channels to extract opinion entities and relations simultaneously.
• Common-Knowledge Concept Recognition for SEVA
  26 Mar 2020 1 repository listed
  We build a common-knowledge concept recognition system for a Systems Engineer's Virtual Assistant (SEVA) which can be used for downstream tasks such as relation extraction, knowledge graph construction, and…
• Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering Tasks
  30 Jan 2020 1 repository listed
  This paper contributes to solving problems related to ambiguity in PICO sentence prediction tasks, as well as highlighting how annotations for training named entity recognition systems are used to train a…
• Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science
  16 Dec 2019 1 repository listed
  This system meets computational information and knowledge management (CIKM) requirements of metadata-driven payload extraction, named entity extraction, and relationship extraction from text.
• GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries
  23 Sep 2019 1 repository listed
  The recurrent neural networks that use the pre-trained domain-specific word embeddings and a CRF layer for label optimization perform drug, adverse event and related entities extraction with micro-averaged F1-score of…
• EATEN: Entity-aware Attention for Single Shot Visual Text Extraction
  20 Sep 2019 1 repository listed
  Extracting entity from images is a crucial part of many OCR applications, such as entity recognition of cards, invoices, and receipts.
• Transfer Learning for Entity Recognition of Novel Classes
  1 Aug 2018 1 repository listed
  Our results empirically demonstrate when each of the published approaches tends to do well.
• Named Entity Recognition for Hindi-English Code-Mixed Social Media Text
  1 Jul 2018 1 repository listed
  Named Entity Recognition (NER) is a major task in the field of Natural Language Processing (NLP), and also is a sub-task of Information Extraction.
• A Practical Incremental Learning Framework For Sparse Entity Extraction
  26 Jun 2018 1 repository listed
  This work addresses challenges arising from extracting entities from textual data, including the high cost of data annotation, model accuracy, selecting appropriate evaluation criteria, and the overall quality of…
• Tracking the Diffusion of Named Entities
  22 Dec 2017 1 repository listed
  Existing studies of how information diffuses across social networks have thus far concentrated on analysing and recovering the spread of deterministic innovations such as URLs, hashtags, and group membership.
• Real-time On-Demand Crowd-powered Entity Extraction
  12 Apr 2017 1 repository listed
  Output-agreement mechanisms such as ESP Game have been widely used in human computation to obtain reliable human-generated labels.
• Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction
  1 Dec 2016 1 repository listed
  This paper proposes a novel context-aware joint entity and word-level relation extraction approach through semantic composition of words, introducing a Table Filling Multi-Task Recurrent Neural Network (TF-MTRNN) model…
• Joint Extraction of Events and Entities within a Document Context
  12 Sep 2016 1 repository listed
  Events and entities are closely related; entities are often actors or participants in events and events without entities are uncommon.

Syntology lines on 2 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.