---
title: "Named entity recognition — library papers"
description: "Named entity recognition: 132 papers of the Elamur Research library on it, the most cited first — each with our summary, its ideas, references and who…"
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# Named entity recognition — papers in the library

132 papers · [the topic and Mova's cards](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/)

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- [The Stanford CoreNLP Natural Language Processing Toolkit](https://md.research.elamur.ai/free/en/papers/manning-2014-stanford-corenlp-natural-language-processing/) — Christopher Manning, Mihai Surdeanu, John Bauer, et al. · Proceedings of 52nd Annual Meeting of the…
- [Natural Language Processing (almost) from Scratch](https://md.research.elamur.ai/free/en/papers/collobert-2011-natural-language-processing-almost-scratch/) — Ronan Collobert, Jason Weston, Leon Bottou, et al. · arXiv:1103.0398
- [BioBERT: a pre-trained biomedical language representation model for biomedical text mining](https://md.research.elamur.ai/free/en/papers/lee-2019-biobert-pre-trained-biomedical-language/) — Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, et al. · arXiv:1901.08746
- [Bidirectional LSTM-CRF Models for Sequence Tagging](https://md.research.elamur.ai/free/en/papers/huang-2015-bidirectional-lstm-crf-models-sequence/) — Zhiheng Huang, Wei Xu, Kai Yu · arXiv:1508.01991
- [Word Representations: A Simple and General Method for Semi-Supervised Learning](https://md.research.elamur.ai/free/en/papers/turian-2010-word-representations-simple-general-method/) — Joseph Turian, Lev-Arie Ratinov, Yoshua Bengio · Proceedings of the 48th Annual Meeting of the…
- [Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods](https://md.research.elamur.ai/free/en/papers/zhao-2018-gender-bias-coreference-resolution-evaluation/) — Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al. · Proceedings of the 2018 Conference of the North…
- [CamemBERT: a Tasty French Language Model](https://md.research.elamur.ai/free/en/papers/martin-2019-camembert-tasty-french-language-model/) — Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, et al. · arXiv:1911.03894 · Proceedings of the 58th…
- [End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF](https://md.research.elamur.ai/free/en/papers/ma-2016-end-end-sequence-labeling-bi/) — Xuezhe Ma, Eduard Hovy · arXiv:1603.01354
- [Contextual String Embeddings for Sequence Labeling](https://md.research.elamur.ai/free/en/papers/akbik-2018-contextual-string-embeddings-sequence-labeling/) — Alan Akbik, Duncan Blythe, Roland Vollgraf · Proceedings of the 27th International…
- [Design Challenges and Misconceptions in Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/ratinov-2009-design-challenges-misconceptions-named-entity/) — Lev Ratinov, Dan Roth · Proceedings of the Thirteenth Conference on…
- [Named Entity Recognition with Bidirectional LSTM-CNNs](https://md.research.elamur.ai/free/en/papers/chiu-2015-named-entity-recognition-bidirectional-lstm/) — Jason P. C. Chiu, Eric Nichols · arXiv:1511.08308
- [MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-mad-x-adapter-based-framework/) — Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al. · Proceedings of the 2020 Conference on Empirical…
- [Is ChatGPT a General-Purpose Natural Language Processing Task Solver?](https://md.research.elamur.ai/free/en/papers/qin-2023-chatgpt-general-purpose-natural-language/) — Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al. · arXiv:2302.06476
- [BERTweet: A pre-trained language model for English Tweets](https://md.research.elamur.ai/free/en/papers/nguyen-2020-bertweet-pre-trained-language-model/) — Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen · arXiv:2005.10200
- [KILT: a Benchmark for Knowledge Intensive Language Tasks](https://md.research.elamur.ai/free/en/papers/petroni-2020-kilt-benchmark-knowledge-intensive-language/) — Fabio Petroni, Aleksandra Piktus, Angela Fan, et al. · arXiv:2009.02252
- [Named Entity Recognition in Tweets: An Experimental Study](https://md.research.elamur.ai/free/en/papers/ritter-2011-named-entity-recognition-tweets-experimental/) — Alan Ritter, Sam Clark, Mausam, et al. · Proceedings of the 2011 Conference on Empirical…
- [Scalable Zero-shot Entity Linking with Dense Entity Retrieval](https://md.research.elamur.ai/free/en/papers/wu-2020-scalable-zero-shot-entity-linking/) — Ledell Wu, Fabio Petroni, Martin Josifoski, et al. · Proceedings of the 2020 Conference on Empirical…
- [How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models](https://md.research.elamur.ai/free/en/papers/rust-2021-how-good-is-your-tokenizer/) — Phillip Rust, Jonas Pfeiffer, Ivan Vulić, et al. · Proceedings of the 59th Annual Meeting of the…
- [Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging](https://md.research.elamur.ai/free/en/papers/reimers-2017-reporting-score-distributions-makes-difference/) — Nils Reimers, Iryna Gurevych · Proceedings of the 2017 Conference on Empirical…
- [The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations](https://md.research.elamur.ai/free/en/papers/hill-2015-goldilocks-principle-reading-children-s/) — Felix Hill, Antoine Bordes, Sumit Chopra, et al. · arXiv:1511.02301
- [From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers](https://md.research.elamur.ai/free/en/papers/lauscher-2020-zero-hero-limitations-zero-shot/) — Anne Lauscher, Vinit Ravishankar, Ivan Vulić, et al. · Proceedings of the 2020 Conference on Empirical…
- [Are All Languages Created Equal in Multilingual BERT?](https://md.research.elamur.ai/free/en/papers/wu-2020-are-all-languages-created-equal/) — Shijie Wu, Mark Dredze · Proceedings of the 5th Workshop on…
- [A Unified MRC Framework for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/li-2020-unified-mrc-framework-named-entity/) — Xiaoya Li, Jingrong Feng, Yuxian Meng, et al. · Proceedings of the 58th Annual Meeting of the…
- [ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing](https://md.research.elamur.ai/free/en/papers/neumann-2019-scispacy-fast-robust-models-biomedical/) — Mark Neumann, Daniel King, Iz Beltagy, et al. · Proceedings of the 18th BioNLP Workshop and…
- [ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning](https://md.research.elamur.ai/free/en/papers/lai-2023-chatgpt-beyond-english-comprehensive-evaluation/) — Viet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh, et al. · Findings of the Association for Computational…
- [GPT-NER: Named Entity Recognition via Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-gpt-ner-named-entity-recognition/) — Shuhe Wang, Xiaofei Sun, Xiaoya Li, et al. · Findings of the Association for Computational…
- [Entity-Based Knowledge Conflicts in Question Answering](https://md.research.elamur.ai/free/en/papers/longpre-2021-entity-based-knowledge-conflicts-question/) — Shayne Longpre, Kartik Perisetla, Anthony Chen, et al. · arXiv:2109.05052
- [Using Encyclopedic Knowledge for Named entity Disambiguation](https://md.research.elamur.ai/free/en/papers/bunescu-2006-encyclopedic-knowledge-named-entity-disambiguation/) — Razvan Bunescu, Marius Paşca · 11th Conference of the European Chapter of the…
- [Emerging Cross-lingual Structure in Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/conneau-2020-emerging-cross-lingual-structure-pretrained/) — Alexis Conneau, Shijie Wu, Haoran Li, et al. · Proceedings of the 58th Annual Meeting of the…
- [MasakhaNER: Named Entity Recognition for African Languages](https://md.research.elamur.ai/free/en/papers/adelani-2021-masakhaner-named-entity-recognition-african/) — David Ifeoluwa Adelani, Jade Abbott, Graham Neubig, et al. · Transactions of the Association for…
- [Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition](https://md.research.elamur.ai/free/en/papers/derczynski-2017-results-wnut2017-shared-task-novel/) — Leon Derczynski, Eric Nichols, Marieke van Erp, et al. · Proceedings of the 3rd Workshop on Noisy…
- [Unsupervised Models for Named Entity Classification](https://md.research.elamur.ai/free/en/papers/collins-1999-unsupervised-models-named-entity-classification/) — Michael Collins, Yoram Singer · 1999 Joint SIGDAT Conference on Empirical…
- [Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons](https://md.research.elamur.ai/free/en/papers/mccallum-2003-early-results-named-entity-recognition/) — Andrew McCallum, Wei Li · Proceedings of the Seventh Conference on…
- [Having Beer after Prayer? Measuring Cultural Bias in Large Language Models](https://md.research.elamur.ai/free/en/papers/naous-2023-having-beer-after-prayer-measuring/) — Tarek Naous, Michael J. Ryan, Alan Ritter, et al. · arXiv:2305.14456
- [Massively Multilingual Transfer for NER](https://md.research.elamur.ai/free/en/papers/rahimi-2019-massively-multilingual-transfer-ner/) — Afshin Rahimi, Yuan Li, Trevor Cohn · Proceedings of the 57th Annual Meeting of the…
- [CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/papers/obeid-2020-camel-tools-open-source-python/) — Ossama Obeid, Nasser Zalmout, Salam Khalifa, et al. · Proceedings of the Twelfth Language Resources…
- [Introduction to the Bio-entity Recognition Task at JNLPBA](https://md.research.elamur.ai/free/en/papers/collier-2004-introduction-bio-entity-recognition-task/) — Nigel Collier, Tomoko Ohta, Yoshimasa Tsuruoka, et al. · Proceedings of the International Joint Workshop…
- [Named Entity Recognition as Dependency Parsing](https://md.research.elamur.ai/free/en/papers/yu-2020-named-entity-recognition-as-dependency/) — Juntao Yu, Bernd Bohnet, Massimo Poesio · Proceedings of the 58th Annual Meeting of the…
- [Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/sang-2002-introduction-conll-2002-shared-task/) — Tjong Kim Sang, Erik F. · COLING-02: The 6th Conference on Natural…
- [InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction](https://md.research.elamur.ai/free/en/papers/wang-2023-instructuie-multi-task-instruction-tuning/) — Xiao Wang, Weikang Zhou, Can Zu, et al. · arXiv:2304.08085
- [ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT](https://md.research.elamur.ai/free/en/papers/wei-2023-chatie-zero-shot-information-extraction/) — Xiang Wei; Xingyu Cui; Ning Cheng; Xiaobin Wang; Xin Zhang; Shen Huang; Pengjun Xie; Jinan Xu; Yufeng Chen; Meishan Zhang; Yong Jiang;, Wenjuan Han · arXiv:2302.10205
- [Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure](https://md.research.elamur.ai/free/en/papers/tackstrom-2012-cross-lingual-word-clusters-direct/) — Oscar Täckström, Ryan McDonald, Jakob Uszkoreit · Proceedings of the 2012 Conference of the North…
- [A Unified Generative Framework for Various NER Subtasks](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-various-ner/) — Hang Yan, Tao Gui, Junqi Dai, et al. · Proceedings of the 59th Annual Meeting of the…
- [Chinese NER Using Lattice LSTM](https://md.research.elamur.ai/free/en/papers/zhang-2018-chinese-ner-lattice-lstm/) — Yue Zhang, Jie Yang · Proceedings of the 56th Annual Meeting of the…
- [PhoBERT: Pre-trained language models for Vietnamese](https://md.research.elamur.ai/free/en/papers/nguyen-2020-phobert-pre-trained-language-models/) — Dat Quoc Nguyen, Anh Tuan Nguyen · Findings of the Association for Computational…
- [Few-NERD: A Few-shot Named Entity Recognition Dataset](https://md.research.elamur.ai/free/en/papers/ding-2021-few-nerd-few-shot-named/) — Ning Ding, Guangwei Xu, Yulin Chen, et al. · Proceedings of the 59th Annual Meeting of the…
- [When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models](https://md.research.elamur.ai/free/en/papers/muller-2021-when-being-unseen-mbert-is/) — Benjamin Muller, Antonios Anastasopoulos, Benoît Sagot, et al. · Proceedings of the 2021 Conference of the North…
- [Classifying Relations by Ranking with Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/santos-2015-classifying-relations-ranking-convolutional-neural/) — Cícero dos Santos, Bing Xiang, Bowen Zhou · Proceedings of the 53rd Annual Meeting of the…
- [Template-Based Named Entity Recognition Using BART](https://md.research.elamur.ai/free/en/papers/cui-2021-template-based-named-entity-recognition/) — Leyang Cui, Yu Wu, Jian Liu, et al. · Findings of the Association for Computational…
- [A Survey on Recent Advances in Named Entity Recognition from Deep Learning models](https://md.research.elamur.ai/free/en/papers/yadav-2018-survey-recent-advances-named-entity/) — Vikas Yadav, Steven Bethard · Proceedings of the 27th International…
- [A Joint Model for Entity Analysis: Coreference, Typing, and Linking](https://md.research.elamur.ai/free/en/papers/durrett-2014-joint-model-entity-analysis-coreference/) — Greg Durrett, Dan Klein · Research library
- [WebAnno: A Flexible, Web-based and Visually Supported System for Distributed Annotations](https://md.research.elamur.ai/free/en/papers/yimam-2013-webanno-flexible-web-based-visually/) — Seid Muhie Yimam, Iryna Gurevych, Richard Eckart de Castilho, et al. · Proceedings of the 51st Annual Meeting of the…
- [Pooled Contextualized Embeddings for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/akbik-2019-pooled-contextualized-embeddings-named-entity/) — Alan Akbik, Tanja Bergmann, Roland Vollgraf · Proceedings of the 2019 Conference of the North…
- [Dice Loss for Data-imbalanced NLP Tasks](https://md.research.elamur.ai/free/en/papers/li-2020-dice-loss-data-imbalanced-nlp/) — Xiaoya Li, Xiaofei Sun, Yuxian Meng, et al. · Proceedings of the 58th Annual Meeting of the…
- [GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer](https://md.research.elamur.ai/free/en/papers/zaratiana-2024-gliner-generalist-model-named-entity/) — Urchade Zaratiana, Nadi Tomeh, Pierre Holat, et al. · Proceedings of the 2024 Conference of the North…
- [The Third International Chinese Language Processing Bakeoff: Word Segmentation and Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/levow-2006-third-international-chinese-language-processing/) — Gina-Anne Levow · Proceedings of the Fifth SIGHAN Workshop on…
- [Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation](https://md.research.elamur.ai/free/en/papers/yamada-2016-joint-learning-embedding-words-entities/) — Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, et al. · Proceedings of the 20th SIGNLL Conference on…
- [Neural Architectures for Nested NER through Linearization](https://md.research.elamur.ai/free/en/papers/strakova-2019-neural-architectures-nested-ner-through/) — Jana Straková, Milan Straka, Jan Hajic · Proceedings of the 57th Annual Meeting of the…
- [Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation](https://md.research.elamur.ai/free/en/papers/poliak-2018-collecting-diverse-natural-language-inference/) — Adam Poliak, Aparajita Haldar, Rachel Rudinger, et al. · Proceedings of the 2018 Conference on Empirical…
- [UNKs Everywhere: Adapting Multilingual Language Models to New Scripts](https://md.research.elamur.ai/free/en/papers/pfeiffer-2021-unks-everywhere-adapting-multilingual-language/) — Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al. · Proceedings of the 2021 Conference on Empirical…
- [Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/baldwin-2015-shared-tasks-2015-workshop-noisy/) — Timothy Baldwin, Marie Catherine de Marneffe, Bo Han, et al. · Proceedings of the Workshop on Noisy…
- [Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling](https://md.research.elamur.ai/free/en/papers/han-2019-unsupervised-domain-adaptation-contextualized-embeddings/) — Xiaochuang Han, Jacob Eisenstein · Proceedings of the 2019 Conference on Empirical…
- [MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/malmasi-2022-multiconer-large-scale-multilingual-dataset/) — Shervin Malmasi, Anjie Fang, Besnik Fetahu, et al. · Proceedings of the 29th International…
- [Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning](https://md.research.elamur.ai/free/en/papers/yang-2020-simple-effective-few-shot-named/) — Yi Yang, Arzoo Katiyar · Proceedings of the 2020 Conference on Empirical…
- [MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/adelani-2022-masakhaner-2-0-africa-centric/) — David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, et al. · Proceedings of the 2022 Conference on Empirical…
- [Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings](https://md.research.elamur.ai/free/en/papers/peng-2015-named-entity-recognition-chinese-social/) — Nanyun Peng, Mark Dredze · Proceedings of the 2015 Conference on Empirical…
- [Empower Sequence Labeling with Task-Aware Neural Language Model](https://md.research.elamur.ai/free/en/papers/liu-2017-empower-sequence-labeling-task-aware/) — Liyuan Liu, Jingbo Shang, Frank F. Xu, et al. · arXiv:1709.04109
- [Neural Cross-Lingual Named Entity Recognition with Minimal Resources](https://md.research.elamur.ai/free/en/papers/xie-2018-neural-cross-lingual-named-entity/) — Jiateng Xie, Zhilin Yang, Graham Neubig, et al. · Proceedings of the 2018 Conference on Empirical…
- [Entity-level Factual Consistency of Abstractive Text Summarization](https://md.research.elamur.ai/free/en/papers/nan-2021-entity-level-factual-consistency-abstractive/) — Feng Nan, Ramesh Nallapati, Zhiguo Wang, et al. · Proceedings of the 16th Conference of the…
- [Nested Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/finkel-2009-nested-named-entity-recognition/) — Jenny Rose Finkel, Christopher D. Manning · Proceedings of the 2009 Conference on Empirical…
- [An Incremental Parser for Abstract Meaning Representation](https://md.research.elamur.ai/free/en/papers/damonte-2017-incremental-parser-abstract-meaning-representation/) — Marco Damonte, Shay B. Cohen, Giorgio Satta · Proceedings of the 15th Conference of the…
- [SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)](https://md.research.elamur.ai/free/en/papers/malmasi-2022-semeval-2022-task-11-multilingual/) — Shervin Malmasi, Anjie Fang, Besnik Fetahu, et al. · Proceedings of the 16th International Workshop…
- [Discovering Relations among Named Entities from Large Corpora](https://md.research.elamur.ai/free/en/papers/hasegawa-2004-discovering-relations-among-named-entities/) — Takaaki Hasegawa, Satoshi Sekine, Ralph Grishman · Proceedings of the 42nd Annual Meeting of the…
- [UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification](https://md.research.elamur.ai/free/en/papers/hanselowski-2018-ukp-athene-multi-sentence-textual/) — Andreas Hanselowski, Hao Zhang, Zile Li, et al. · Proceedings of the First Workshop on Fact…
- [Broad-Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger](https://md.research.elamur.ai/free/en/papers/ciaramita-2006-broad-coverage-sense-disambiguation-information/) — Massimiliano Ciaramita, Yasemin Altun · Proceedings of the 2006 Conference on Empirical…
- [Harnessing Deep Neural Networks with Logic Rules](https://md.research.elamur.ai/free/en/papers/hu-2016-harnessing-deep-neural-networks-logic/) — Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, et al. · Proceedings of the 54th Annual Meeting of the…
- [An Analysis of Simple Data Augmentation for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/dai-2020-analysis-simple-data-augmentation-named/) — Xiang Dai, Heike Adel · Proceedings of the 28th International…
- [Named Entity Recognition through Classifier Combination](https://md.research.elamur.ai/free/en/papers/florian-2003-named-entity-recognition-through-classifier/) — Radu Florian, Abe Ittycheriah, Hongyan Jing, et al. · Proceedings of the Seventh Conference on…
- [On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment](https://md.research.elamur.ai/free/en/papers/wang-2020-negative-interference-multilingual-models-findings/) — Zirui Wang, Zachary C. Lipton, Yulia Tsvetkov · Proceedings of the 2020 Conference on Empirical…
- [Playing with Words at the National Library of Sweden -- Making a Swedish BERT](https://md.research.elamur.ai/free/en/papers/malmsten-2020-playing-words-national-library-sweden/) — Martin Malmsten, Love Borjeson, Chris Haffenden · arXiv:2007.01658
- [Named Entity Recognition using an HMM-based Chunk Tagger](https://md.research.elamur.ai/free/en/papers/zhou-2002-named-entity-recognition-hmm-based/) — GuoDong Zhou, Jian Su · Proceedings of the 40th Annual Meeting of the…
- [Fast and Accurate Entity Recognition with Iterated Dilated Convolutions](https://md.research.elamur.ai/free/en/papers/strubell-2017-fast-accurate-entity-recognition-iterated/) — Emma Strubell, Patrick Verga, David Belanger, et al. · Proceedings of the 2017 Conference on Empirical…
- [Learning Named Entity Tagger using Domain-Specific Dictionary](https://md.research.elamur.ai/free/en/papers/shang-2018-learning-named-entity-tagger-domain/) — Jingbo Shang, Liyuan Liu, Xiaotao Gu, et al. · Proceedings of the 2018 Conference on Empirical…
- [Learning part-of-speech taggers with inter-annotator agreement loss](https://md.research.elamur.ai/free/en/papers/plank-2014-learning-part-speech-taggers-inter/) — Barbara Plank, Dirk Hovy, Anders Søgaard · Proceedings of the 14th Conference of the…
- [CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning](https://md.research.elamur.ai/free/en/papers/das-2022-container-few-shot-named-entity/) — Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca Passonneau, et al. · Proceedings of the 60th Annual Meeting of the…
- [Open Domain Targeted Sentiment](https://md.research.elamur.ai/free/en/papers/mitchell-2013-open-domain-targeted-sentiment/) — Margaret Mitchell, Jacqui Aguilar, Theresa Wilson, et al. · Proceedings of the 2013 Conference on Empirical…
- [A Neural Layered Model for Nested Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/ju-2018-neural-layered-model-nested-named/) — Meizhi Ju, Makoto Miwa, Sophia Ananiadou · Proceedings of the 2018 Conference of the North…
- [Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders](https://md.research.elamur.ai/free/en/papers/wang-2020-two-are-better-than-one/) — Jue Wang, Wei Lu · Proceedings of the 2020 Conference on Empirical…
- [Epitran: Precision G2P for Many Languages](https://md.research.elamur.ai/free/en/papers/mortensen-2018-epitran-precision-g2p-many-languages/) — David R. Mortensen, Siddharth Dalmia, Patrick Littell · Proceedings of the Eleventh International…
- [Lexicon Infused Phrase Embeddings for Named Entity Resolution](https://md.research.elamur.ai/free/en/papers/passos-2014-lexicon-infused-phrase-embeddings-named/) — Alexandre Passos, Vineet Kumar, Andrew McCallum · Proceedings of the Eighteenth Conference on…
- [LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluation](https://md.research.elamur.ai/free/en/papers/aguilar-2020-lince-centralized-benchmark-linguistic-code/) — Gustavo Aguilar, Sudipta Kar, Thamar Solorio · Proceedings of the Twelfth Language Resources…
- [Tuning Multilingual Transformers for Language-Specific Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/arkhipov-2019-tuning-multilingual-transformers-language-specific/) — Mikhail Arkhipov, Maria Trofimova, Yuri Kuratov, et al. · Proceedings of the 7th Workshop on Balto-Slavic…
- [Entity Linking in 100 Languages](https://md.research.elamur.ai/free/en/papers/botha-2020-entity-linking-100-languages/) — Jan A. Botha, Zifei Shan, Daniel Gillick · Proceedings of the 2020 Conference on Empirical…
- [Wojood: Nested Arabic Named Entity Corpus and Recognition using BERT](https://md.research.elamur.ai/free/en/papers/jarrar-2022-wojood-nested-arabic-named-entity/) — Mustafa Jarrar, Mohammed Khalilia, Sana Ghanem · Proceedings of the Thirteenth Language…
- [ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer](https://md.research.elamur.ai/free/en/papers/liu-2023-chatgpt-vs-human-authored-text/) — Dongqi Liu, Vera Demberg · arXiv:2306.07799
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