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https://github.com/smiyawaki0820/awesome-ner

This repository groups together for the task of "Named Entity Recognition (NER)"
https://github.com/smiyawaki0820/awesome-ner
List: awesome-ner
Last synced: 16 days ago
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This repository groups together for the task of "Named Entity Recognition (NER)"
Host: GitHub
URL: https://github.com/smiyawaki0820/awesome-ner
Owner: smiyawaki0820
License: mit
Created: 2022-06-23T17:02:17.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2022-08-18T06:23:55.000Z (over 2 years ago)
Last Synced: 2024-05-23T07:47:52.398Z (7 months ago)
Size: 20.5 KB
Stars: 7
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project

ultimate-awesome - awesome-ner - This repository groups together for the task of "Named Entity Recognition (NER)". (Other Lists / Monkey C Lists)
README

        # Named Entity Recognition

WIP

## Framework

- [transformers run_ner.py](https://github.com/huggingface/transformers/blob/main/examples/pytorch/token-classification/run_ner.py)

- [spaCy EntityRecognizer](https://spacy.io/api/entityrecognizer)

  - [GiNZA - Japanese NLP Library](https://megagonlabs.github.io/ginza/) [[GitHub](https://github.com/megagonlabs/ginza)]

- [github.com/flairNLP/flair](https://github.com/flairNLP/flair)

- [Apache OpenNLP](https://opennlp.apache.org/docs/1.8.1/manual/opennlp.html#tools.namefind.recognition)

- [allennlp](https://guide.allennlp.org/common-architectures#3)

  - [himkt/allennlp-NER](https://github.com/himkt/allennlp-NER)

## Resource

### English

- [CoNLL-2002](https://www.clips.uantwerpen.be/conll2002/ner/) (Sang+'02)

- [CoNLL-2003](https://www.clips.uantwerpen.be/conll2003/ner/) (Sang and De Meulder+'03)

  - https://github.com/huggingface/datasets/tree/master/datasets/conll2003

- [OntoNotes 5.0](https://catalog.ldc.upenn.edu/LDC2013T19) (Weischedel+'13)

- [WNUT-2016](http://noisy-text.github.io/2016/ner-shared-task.html) (Strauss+'16)

- [WNUT-2017](http://noisy-text.github.io/2017/emerging-rare-entities.html) (Derczynski+Y17)

- [CREER](https://arxiv.org/abs/2204.12710)

### Japanese

|name|domain|all|train|valid|test|remarks|

|:---|:---:|---:|---:|---:|---:|:---|

|[Wikipediaを用いた日本語の固有表現抽出データセット - Stockmark](https://github.com/stockmarkteam/ner-wikipedia-dataset)|Wikipedia|||||[blog](https://tech.stockmark.co.jp/blog/202012_ner_dataset/)|

|[京都大学ウェブ文書リードコーパス](https://nlp.ist.i.kyoto-u.ac.jp/index.php?KWDLC)|web (various)|||||IREX|

|[UD Japanese GSD](https://universaldependencies.org/treebanks/ja_gsd/index.html)|Wikipedia|||||ENE|

|[GSK2014-A](https://www.gsk.or.jp/catalog/gsk2014-a/)|BCCWJ|||||ENE|

|[Contextual Clues for Named Entity Recognition in Japanese](https://cjki.org/samples/necc.htm)||||||

|[森羅](http://shinra-project.info/download/)|Wikipedia|||||

## Evaluation

- conlleval

  - http://www.clips.uantwerpen.be/conll2000/chunking/conlleval.txt

  - https://www.clips.uantwerpen.be/conll2000/chunking/output.html

- [seqeval](https://github.com/chakki-works/seqeval)

  - https://huggingface.co/spaces/evaluate-metric/seqeval

## LeaderBoard

- [ExplainaBoard](http://explainaboard.nlpedia.ai/leaderboard/task-ner/)

## Annontation Tools

- See: https://github.com/doccano/awesome-annotation-tools

## Active Learning

- Li+'17 - Proactive Learning for Named Entity Recognition (BioNLP) [[ACL Anthology](https://aclanthology.org/W17-2314/)]

- Agrawal+'21 - Active learning approach using a modified least confidence sampling strategy for named entity recognition [[ACM](https://dl.acm.org/doi/abs/10.1007/s13748-021-00230-w)]

- Shen+'17 - Deep Active Learning for Named Entity Recognition [[arXiv](https://arxiv.org/abs/1707.05928)]

## Papers (entity-aware)

WIP

tag: 

- `seq`: Sequence Labeling

- `span`: Span-based

- `mrc`: Reading Comprehension

### preprint

### [AAAI2022](https://aaai-2022.virtualchair.net/papers.html?filter=titles&search=Entity)

- Li+'22 - Unified Named Entity Recognition as Word-Word Relation Classification (AAAI) [[paper](https://aaai-2022.virtualchair.net/poster_aaai742)]

- Agarwal+'22 - Towards Robust Named Entity Recognition via Temporal Domain Adaptation and Entity Context Understanding (AAAI) [[paper](https://aaai-2022.virtualchair.net/poster_dc136)]

- Shang+'22 - OneRel: Joint Entity and Relation Extraction with One Module in One Step (AAAI) [[paper](https://aaai-2022.virtualchair.net/poster_aaai246)]

- Raiman+'22 - DeepType 2: Superhuman Entity Linking, All You Need Is Type Interactions (AAAI) [[paper](https://aaai-2022.virtualchair.net/poster_aaai2612)]

- Liang+'22 - Exploring Entity Interactions for Few-Shot Relation Learning (AAAI) [[paper](https://aaai-2022.virtualchair.net/poster_sa368)]

- Xin+'22 - Ensemble Semi-Supervised Entity Alignment via Cycle-Teaching (AAAI) [[paper](https://aaai-2022.virtualchair.net/poster_aaai5065)]

### [TACL2022](https://aclanthology.org/events/tacl-2022/)

- Li+'22 - Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference (TACL) [[paper](https://aclanthology.org/2022.tacl-1.35/)]

- Cao+'22 - Multilingual Autoregressive Entity Linking (TACL) [[paper](https://aclanthology.org/2022.tacl-1.16/)]

### [LREC2022](https://lrec2022.lrec-conf.org/en/conference-programme/accepted-papers/)

- Yeshpanov+'22 - KazNERD: Kazakh Named Entity Recognition Dataset (LREC)

- Epure+'22 - Probing Pre-trained Auto-regressive Language Models for Named Entity Typing and Recognition (LREC)

- Jiang+'22 - Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis (LREC)

- Phan+'22 - A Named Entity Recognition Corpus for Vietnamese Biomedical Texts to Support Tuberculosis Treatment (LREC)

- Green+'22 - Development of a Benchmark Corpus to Support Entity Recognition in Job Descriptions (LREC)

- Aprosio+'22 - KIND: an Italian Multi-Domain Dataset for Named Entity Recognition (LREC)

- Rückert+'22 - A Unified Approach to Entity-Centric Context Tracking in Social Conversations (LREC)

- Jarrar+'22 - Wojood: Nested Arabic Named Entity Corpus and Recognition using BERT (LREC)

- Strobl+'22 - Enhanced Entity Annotations for Multilingual Corpora (LREC)

- Orasmaa+'22 - Named Entity Recognition in Estonian 19th Century Parish Court Records (LREC)

- Severini+'22 - Towards a Broad Coverage Named Entity Resource: A Data-Efficient Approach for Many Diverse Languages (LREC)

- Garcia-Duran+'22 - Efficient Entity Candidate Generation for Low-Resource Languages (LREC)

- Bonet+'22 - Spanish Datasets for Sensitive Entity Detection in the Legal Domain (LREC)

- Pathak+'22 - AsNER - Annotated Dataset and Baselines for Assamese Named Entity recognition (LREC)

- Hatab+'22 - Enhancing Deep Learning with Embedded Features for Arabic Named Entity Recognition (LREC)

- Skórzewski+'22 - Named Entity Recognition to Detect Criminal Texts on the Web (LREC)

- Ivanova+'22 - Comparing Annotated Datasets for Named Entity Recognition in English Literature (LREC)

- Loukachevitch+'22 - Entity Linking over Nested Named Entities for Russian (LREC)

- Murthy+'22 - HiNER: A large Hindi Named Entity Recognition Dataset (LREC)

- Cui+'22 - OpenEL: An Annotated Corpus for Entity Linking and Discourse in Open Domain Dialogue (LREC)

- Sun+'22 - SPORTSINTERVIEW: A Large-Scale Sports Interview Benchmark for Entity-centric Dialogues (LREC)

- Alekseev+'22 - Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking (LREC)

- Mullick+'22 - Using Sentence-level Classification Helps Entity Extraction from Material Science Literature (LREC)

- Çarık +'22 - A Twitter Corpus for Named Entity Recognition in Turkish (LREC)

- Okur+'22 - Exploring Paraphrase Generation and Entity Extraction for Multimodal Dialogue System (LREC)

### [NAACL2022](https://2022.naacl.org/program/accepted_papers/)

- Wu+'22 - Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting (NAACL) [[arXiv](https://arxiv.org/abs/2204.11406)]

- Fetahu+'22 - Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition (NAACL) [[AmazonScience](https://assets.amazon.science/4b/72/7d7551b144039c3f9b955b8e6cdc/dynamic-gazetteer-integration-in-multilingual-models-for-cross-lingual-and-cross-domain-named-entity-recognition.pdf)]

- Wang+'22 - Sentence-Level Resampling for Named Entity Recognition (NAACL) [[openreview](https://openreview.net/pdf?id=W_0vwhG1gkW)]

- Hu+'22 - Hero-Gang Neural Model For Named Entity Recognition (NAACL) [[arXiv](https://arxiv.org/abs/2205.07177)]

- Pasad+'22 - On the Use of External Data for Spoken Named Entity Recognition (NAACL) [[arXiv](https://arxiv.org/abs/2112.07648)]

- Ying+'22 - Label Refinement via Contrastive Learning for Distantly-Supervised Named Entity Recognition (NAACL)

- Gu+'22 - Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition (NAACL) [[arXiv](http://arxiv.org/abs/2204.05544)]

- Shao+'22 - Low-resource Entity Set Expansion: A Comprehensive Study on User-generated Text (NAACL) [[acsweb](https://acsweb.ucsd.edu/~yshao/Low_resource_entity_set_expans.pdf)]

- Tedeschi+'22 - MultiNER: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (NAACL)

- Shrimal+'22 - NER-MQMRC: Formulating Named Entity Recognition as Multi Question Machine Reading Comprehension (NAACL) [[arXiv](https://arxiv.org/abs/2205.05904)]

- Agarwal+'22 - Entity Linking via Explicit Mention-Mention Coreference Modeling (NAACL) [[openreview](https://openreview.net/pdf?id=f_1MD91kBza)]

- Wang+'22 - Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis (NAACL) [[arXiv](https://arxiv.org/abs/2205.03784)]

- Hakami+'22 - Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion (NAACL) [[arXiv](https://arxiv.org/abs/2204.13097)]

- Xu+'22 - Modeling Explicit Task Interactions in Document-Level Joint Entity and Relation Extraction (NAACL) [[arXiv](https://arxiv.org/abs/2205.01909)]

- Yuan+'22 - Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning (NAACL) [[arXiv](https://arxiv.org/abs/2204.05164)]

- Chai+'22 - Incorporating Centering Theory into Entity Coreference Resolution (NAACL) 

- Yu+'22 - Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction [[arXiv](https://arxiv.org/abs/2205.14393)]

- Bhargav+'22 - Zero-shot Entity Linking with Less Data (NAACL) [[arXiv](https://arxiv.org/abs/1906.07348)]

- Liu+'22 - Dangling-Aware Entity Alignment with Mixed High-Order Proximities (NAACL) [[arXiv](https://aps.arxiv.org/abs/2205.02406)]

- Ayoola+'22 - ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking (NAACL) [[AmazonScience](https://www.amazon.science/publications/refined-an-efficient-zero-shot-capable-approach-to-end-to-end-entity-linking)]

- Laskar+'22 - BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations (NAACL) [[arXiv](https://arxiv.org/abs/2205.04438)]

- Nishikawa+'22 - EASE: Entity-Aware Contrastive Learning of Sentence Embedding  (NAACL) [[arXiv](https://arxiv.org/abs/2205.04260)]

- Ayoola+'22 - Improving Entity Disambiguation by Reasoning over a Knowledge Base (NAACL) [[AmazonScience](https://assets.amazon.science/26/9a/31bb24de49cbadbf779976806991/improving-entity-disambiguation-by-reasoning-over-a-knowledge-base.pdf)]

- Yan+'22 - On the Robustness of Reading Comprehension Models to Entity Renaming (NAACL) [[arXiv](https://arxiv.org/abs/2110.08555)]

- Yamada+'22 - Global Entity Disambiguation with BERT [[arXiv](https://arxiv.org/abs/1909.00426)]

- Onoe+'22 - Entity Cloze By Date: Understanding what LMs know about unseen entities (NAACL) [[arXiv](https://arxiv.org/abs/2205.02832)]

- Deeksha+'22 - Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation (NAACL) [[arXiv](https://arxiv.org/abs/2205.13928)]

- Schuster+'22 - When a sentence does not introduce a discourse entity, Transformer-based models still often refer to it (NAACL) [[arXiv](https://arxiv.org/abs/2205.03472)]

- Zhang+'22 - Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control (NAACL)

- Wang+'22 - ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition (NAACL) [[arXiv](https://arxiv.org/abs/2112.06482)]

- Chen+'22 - Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction (NAACL) [[paperswithcode](https://paperswithcode.com/paper/good-visual-guidance-makes-a-better-extractor)]

### [ACL2022](https://aclanthology.org/events/acl-2022/)

- Wang+'22 - MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective (ACL) [[paper](https://aclanthology.org/2022.acl-long.383/)]

- Ma+'22 - Decomposed Meta-Learning for Few-Shot Named Entity Recognition (ACL) [[paper](https://aclanthology.org/2022.findings-acl.124/)]

- Li+'22 - An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition (ACL) [[paper](https://aclanthology.org/2022.acl-long.14/)]

- Yang+'22 - Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks (ACL) [[paper](https://aclanthology.org/2022.acl-long.171/)]

- Zhu+'22 - Boundary Smoothing for Named Entity Recognition (ACL) [[paper](https://aclanthology.org/2022.acl-long.490/)]

- Snigdha+'22 - CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning (ACL) [[paper](https://aclanthology.org/2022.acl-long.439/)]

- Zhou+'22 - Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning (ACL) [[paper](https://aclanthology.org/2022.acl-long.498/)]

- Wang+'22 - Few-Shot Class-Incremental Learning for Named Entity Recognition (ACL) [[paper](https://aclanthology.org/2022.acl-long.43/)]

- Chen+'22 - Few-shot Named Entity Recognition with Self-describing Networks (ACL) [[paper](https://aclanthology.org/2022.acl-long.392/)]

- Lou+'22 - Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing (ACL) [[paper](https://aclanthology.org/2022.acl-long.428/)]

- Wan+'22 - Nested Named Entity Recognition with Span-level Graphs (ACL) [[paper](https://aclanthology.org/2022.acl-long.63/)]

- Shen+'22 - Parallel Instance Query Network for Named Entity Recognition (ACL) [[paper](https://aclanthology.org/2022.acl-long.67/)]

- Zheng+'22 - Cross-domain Named Entity Recognition via Graph Matching (ACL) [[paper](https://aclanthology.org/2022.findings-acl.210/)]

- Huang+'22 - Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training (ACL) [[paper](https://aclanthology.org/2022.findings-acl.9/)]

- Yuan+'22 - Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition (ACL) [[paper](https://aclanthology.org/2022.findings-acl.250/)]

- Ma+'22 - Label Semantics for Few Shot Named Entity Recognition (ACL) [[paper](https://aclanthology.org/2022.findings-acl.155/)]

- Xia+'22 - Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples (ACL) [[paper](https://aclanthology.org/2022.findings-acl.179/)]

- Buaphet+'22 - Thai Nested Named Entity Recognition Corpus (ACL) [[paper](https://aclanthology.org/2022.findings-acl.116/)]

- Reich+'22 - Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition (ACL) [[paper](https://aclanthology.org/2022.findings-acl.154/)]

- Loukas+'22 - FiNER: Financial Numeric Entity Recognition for XBRL Tagging (ACL) [[paper](https://aclanthology.org/2022.acl-long.303/)]

- Zhou+'22 - MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER (ACL) [[paper](https://aclanthology.org/2022.acl-long.160/)]

- Ri+'22 - mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models (ACL) [[paper](https://aclanthology.org/2022.acl-long.505/)]

- Leszczynski+'22 - TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval (ACL) [[paper](https://aclanthology.org/2022.findings-acl.169/)]

- Galperin+'22 - Cross-Lingual UMLS Named Entity Linking using UMLS Dictionary Fine-Tuning (ACL) [[paper](https://aclanthology.org/2022.findings-acl.266/)]

- Han+'22 - Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for Low-Resource Languages (ACL) [[paper](https://aclanthology.org/2022.acl-long.159/)]

- Pang+'22 - Divide and Denoise: Learning from Noisy Labels in Fine-Grained Entity Typing with Cluster-Wise Loss Correction (ACL) [[paper](https://aclanthology.org/2022.acl-long.141/)]

- Chen+'22 - Learning from Sibling Mentions with Scalable Graph Inference in Fine-Grained Entity Typing (ACL) [[paper](https://aclanthology.org/2022.acl-long.147/)]

- Wang+'22 - WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types (ACL) [[paper](https://aclanthology.org/2022.acl-long.328/)]

- Zaporojets+'22 - Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolution (ACL) [[paper](https://aclanthology.org/2022.acl-short.88/)]

- Sun+'22 - A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking (ACL) [[paper](https://aclanthology.org/2022.findings-acl.114/)]

- Mrini+'22 - Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem (ACL) [[paper](https://aclanthology.org/2022.findings-acl.156/)]

- Jin+'22 - How Can Cross-lingual Knowledge Contribute Better to Fine-Grained Entity Typing? (ACL) [[paper](https://aclanthology.org/2022.findings-acl.243/)]

- Lai+'22 - Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking (ACL) [[paper](https://aclanthology.org/2022.findings-acl.292/)]

## References

- [A 2020 Guide to Named Entity Recognition - LaptrinhX / News](https://laptrinhx.com/news/a-2020-guide-to-named-entity-recognition-W7eeD6j/)

- [Named Entity Recognition - Nanonets](https://nanonets.com/blog/named-entity-recognition-with-nltk-and-spacy/)

- [David S. Batista - Named-Entity evaluation metrics based on entity-level (Blog)](https://www.davidsbatista.net/blog/2018/05/09/Named_Entity_Evaluation/)

### Projects

- [森羅 SINRA](http://shinra-project.info/shinra2020ml/overview/)

- [拡張固有表現階層](http://liat-aip.sakura.ne.jp/ene/ene8/definition_jp/html/home.html)



### Tips

TBA