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Named Entity Recognition (NER) is a fundamental NLP task, commonly formulated as classification over a sequence of tokens.
A tweet dataset annotated for named entity recognition and stance detection
Dilek Küçük and Fazli Can. 2019 · 1901
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Named entity recognition task definition
N. Chinchor, E. Brown, L. Ferro, and P. Robinson. 1999 · 1999
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Building a tree-bank of modern hebrew text
Khalil Sima’an, Alon Itai, Yoad Winter, Alon Altman, and Noa Nativ. 2001 · 2001
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Introduction to the conll-2003 shared task: Language-independent named entity recognition
Erik F. Tjong Kim Sang. 2003 · 2003
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A statistical information extraction system for turkish
Gökhan Tür, Dilek Hakkani-tür, and Kemal Oflazer. 2003 · 2003
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Hebrew named entity recognition
Naama Ben-Mordecai. 2005 · 2005
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Arabic tokenization, part-of-speech tagging and morphological disambiguation in one fell swoop
Nizar Habash and Owen Rambow. 2005 · 2005
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Anersys: An arabic named entity recognition system based on maximum entropy
Yassine Benajiba, Paolo Rosso, and José Miguel BenedíRuiz. 2007 · 2007
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The CoNLL 2007 shared task on dependency parsing
Joakim Nivre, Johan Hall, Sandra Kübler, Ryan McDonald, Jens Nilsson, Sebastian Riedel, and Deniz Yuret. 2007 · 2007
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Bioinfer: a corpus for information extraction in the biomedical domain
Sampo Pyysalo, Filip Ginter, Juho Heimonen, Jari Björne, Jorma Boberg, Jouni Järvinen, and Tapio Salakoski. 2007 · 2007
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The leipzig glossing rules: Conventions for interlinear morpheme-by-morpheme glosses
Bernard Comrie, Martin Haspelmath, and Balthasar Bickel. 2008 · 2008
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A single generative model for joint morphological segmentation and syntactic parsing
Yoav Goldberg and Reut Tsarfaty. 2008 · 2008
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ACE (automatic content extraction) english annotation guidelines for entities version 6.6
LDC. 2008 · 2008
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Nested named entity recognition
Jenny Rose Finkel and Christopher D. Manning. 2009 · 2009
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Towards a methodology for named entities annotation
Karën Fort, Maud Ehrmann, and Adeline Nazarenko. 2009 · 2009
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Design challenges and misconceptions in named entity recognition
Lev Ratinov and Dan Roth. 2009 · 2009
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Agile corpus annotation in practice: An overview of manual and automatic annotation of CVs
Bea Alex, Claire Grover, Rongzhou Shen, and Mijail Kabadjov. 2010 · 2010
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Better Arabic parsing: Baselines, evaluations, and analysis
Spence Green and Christopher D. Manning. 2010 · 2010
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Statistical parsing of morphologically rich languages (SPMRL) what, how and whither
Reut Tsarfaty, Djamé Seddah, Yoav Goldberg, Sandra Kuebler, Yannick Versley, Marie Candito, Jennifer Foster, Ines Rehbein, and Lamia Tounsi. 2010 · 2010
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Recall-oriented learning of named entities in Arabic Wikipedia
Behrang Mohit, Nathan Schneider, Rishav Bhowmick, Kemal Oflazer, and Noah A. Smith. 2012 · 2012
Cited alongside, same era.
CoNLL-2012 shared task: Modeling multilingual unrestricted coreference in OntoNotes
Sameer Pradhan, Alessandro Moschitti, Nianwen Xue, Olga Uryupina, and Yuchen Zhang. 2012 · 2012
Cited alongside, same era.
Named entity recognition using cross-lingual resources: Arabic as an example
Kareem Darwish. 2013 · 2013
Cited alongside, same era.
Overview of the SPMRL 2013 shared task: A cross-framework evaluation of parsing morphologically rich languages
Djamé Seddah, Reut Tsarfaty, Sandra Kübler, Marie Candito, Jinho D. Choi, Richárd Farkas, Jennifer Foster, Iakes Goenaga, Koldo Gojenola Galletebeitia, Yoav Goldberg, Spence Green, Nizar Habash, Marco Kuhlmann, Wolfgang Maier, Joakim Nivre, Adam Przepiórkowski, Ryan Roth, Wolfgang Seeker, Yannick Versley, Veronika Vincze, Marcin Woliński, Alina Wróblewska, and Eric Villemonte de la Clergerie. 2013 · 2013
Cited alongside, same era.
Ontonotes release 5.0
Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, and Ann Houston. 2013 · 2013
Enriching word vectors with subword information
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017 · 2017
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Results of the WNUT2017 shared task on novel and emerging entity recognition
Leon Derczynski, Eric Nichols, Marieke van Erp, and Nut Limsopatham. 2017 · 2017
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Optimal hyperparameters for deep lstm-networks for sequence labeling tasks
Nils Reimers and Iryna Gurevych. 2017 · 2017
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Character-based joint segmentation and POS tagging for Chinese using bidirectional RNN-CRF
Yan Shao, Christian Hardmeier, Jörg Tiedemann, and Joakim Nivre. 2017 · 2017
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Improving named entity recognition by jointly learning to disambiguate morphological tags
Onur Güngör, Suzan Üsküdarli, and Tunga Güngör. 2018 · 2018
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Cited alongside, same era.
WebAnno: A flexible, web-based and visually supported system for distributed annotations
Seid Muhie Yimam, Iryna Gurevych, Richard Eckart de Castilho, and Chris Biemann. 2013 · 2013
Cited alongside, same era.
Named entity recognition: challenges in document annotation, gazetteer construction and disambiguation
Ziqi Zhang. 2013 · 2013
Cited alongside, same era.
NoSta-D named entity annotation for German: Guidelines and dataset
Darina Benikova, Chris Biemann, and Marc Reznicek. 2014 · 2014
Cited alongside, same era.
Hebrew wikipedia dependency parsed corpus, v.1.0
Yoav Goldberg. 2014 · 2014
Cited alongside, same era.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Cited alongside, same era.
Learning part-of-speech taggers with inter-annotator agreement loss
Barbara Plank, Dirk Hovy, and Anders Søgaard. 2014 · 2014
Cited alongside, same era.
Named entity recognition with bidirectional lstm-cnns
Jason P. C. Chiu and Eric Nichols. 2015 · 2015
Cited alongside, same era.
Multi-task identification of entities, relations, and coreference for scientific knowledge graph construction
Yi Luan, Luheng He, Mari Ostendorf, and Hannaneh Hajishirzi. 2018 · 2018
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Universal word segmentation: Implementation and interpretation
Yan Shao, Christian Hardmeier, and Joakim Nivre. 2018 · 2018
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Comparison of named entity recognition methodologies in biomedical documents
Hye-Jeong Song, Byeong-Cheol Jo, Chan-Young Park, Jong-Dae Kim, and Yu-Seop Kim. 2018 · 2018
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What do character-level models learn about morphology? the case of dependency parsing
Clara Vania, Andreas Grivas, and Adam Lopez. 2018 · 2018
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Design challenges and misconceptions in neural sequence labeling
Jie Yang, Shuailong Liang, and Yue Zhang. 2018 · 2018
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NCRF++: An open-source neural sequence labeling toolkit
Jie Yang and Yue Zhang. 2018 · 2018
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Don’t forget the long tail! a comprehensive analysis of morphological generalization in bilingual lexicon induction
Paula Czarnowska, Sebastian Ruder, Edouard Grave, Ryan Cotterell, and Ann Copestake. 2019 · 2019
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Neural semi-Markov conditional random fields for robust character-based part-of-speech tagging
Apostolos Kemos, Heike Adel, and Hinrich Schütze. 2019 · 2019
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Joint transition-based models for morpho-syntactic parsing: Parsing strategies for MRLs and a case study from modern Hebrew
Amir More, Amit Seker, Victoria Basmova, and Reut Tsarfaty. 2019 · 2019
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What’s wrong with Hebrew NLP? and how to make it right
Reut Tsarfaty, Shoval Sadde, Stav Klein, and Amit Seker. 2019 · 2019
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Getting the ##life out of living: How adequate are word-pieces for modelling complex morphology?
Stav Klein and Reut Tsarfaty. 2020 · 2020
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A pointer network architecture for joint morphological segmentation and tagging
Amit Seker and Reut Tsarfaty. 2020 · 2020
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From SPMRL to NMRL: What did we learn (and unlearn) in a decade of parsing morphologically-rich languages (MRLs)?
Reut Tsarfaty, Dan Bareket, Stav Klein, and Amit Seker. 2020 · 2020
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