2020
|
ACL
|
aa-recentlyAdded, aa-ACL2020
|
0
|
Learning Architectures from an Extended Search Space for Language Modeling
|
Yinqiao Li, Chi Hu, Yuhao Zhang, Nuo Xu, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li
|
https://arxiv.org/pdf/2005.02593.pdf
|
2020
|
ACL
|
aa-recentlyAdded, aa-ACL2020,
|
0
|
Soft Gazetteers for Low-Resource Named Entity Recognition
|
Shruti Rijhwani, Shuyan Zhou, Graham Neubig, Jaime Carbonell
|
https://arxiv.org/pdf/2005.01866.pdf
|
2020
|
ACL
|
aa-recentlyAdded, aa-ACL2020
|
0
|
Sources of Transfer in Multilingual Named Entity Recognition
|
David Mueller, Nicholas Andrews, Mark Dredze
|
https://arxiv.org/pdf/2005.00847.pdf
|
2020
|
ACL
|
aa-recentlyAdded, aa-ACL2020, dataset
|
0
|
Code and Named Entity Recognition in StackOverflow
|
Jeniya Tabassum, Mounica Maddela, Wei Xu, Alan Ritter
|
https://arxiv.org/pdf/2005.01634.pdf
|
2020
|
ACL
|
aa-recentlyAdded, aa-ACL2020
|
0
|
Bipartite Flat-Graph Network for Nested Named Entity Recognition
|
Ying Luo, Hai Zhao
|
https://arxiv.org/pdf/2005.00436.pdf
|
2020
|
ACL
|
aa-recentlyAdded, aa-ACL2020,
|
0
|
Named Entity Recognition without Labelled Data: A Weak Supervision Approach
|
Pierre Lison, Aliaksandr Hubin, Jeremy Barnes, Samia Touileb
|
https://arxiv.org/pdf/2004.14723.pdf
|
2020
|
ACL
|
aa-recentlyAdded, aa-ACL2020,
|
0
|
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition
|
Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui
|
https://arxiv.org/pdf/2004.14514.pdf
|
2020
|
ACL
|
aa-recentlyAdded, aa-ACL2020
|
0
|
An Effective Transition-based Model for Discontinuous NER
|
Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cecile Paris
|
https://arxiv.org/pdf/2004.13454.pdf
|
2020
|
ACL
|
aa-recentlyAdded, aa-ACL2020
|
0
|
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
|
Qianhui Wu, Zijia Lin, Börje F. Karlsson, Jian-Guang Lou, Biqing Huang
|
https://arxiv.org/pdf/2004.12440.pdf
|
2020
|
ACL
|
aa-recentlyAdded, aa-ACL2020
|
0
|
FLAT: Chinese NER Using Flat-Lattice Transformer
|
Xiaonan Li, Hang Yan, Xipeng Qiu, Xuanjing Huang
|
https://arxiv.org/pdf/2004.11795.pdf
|
2020
|
ACL
|
aa-recentlyAdded, aa-ACL2020
|
0
|
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition
|
Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren
|
https://arxiv.org/pdf/2004.07493.pdf
|
2020
|
ACL
|
aa-recentlyAdded, aa-ACL2020
|
0
|
Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
|
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Fei Huang, Kewei Tu
|
https://128.84.21.199/pdf/2004.03846.pdf
|
2020
|
ACL
|
aa-recentlyAdded, aa-ACL2020
|
0
|
TinyMBERT: Multi-Stage Distillation Framework for Massive Multi-lingual NER
|
Subhabrata Mukherjee, Ahmed Awadallah
|
https://arxiv.org/pdf/2004.05686.pdf
|
2020-04
|
Arxiv
|
aa-recentlyAdded
|
0
|
A Rigourous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?
|
Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun
|
https://arxiv.org/pdf/2004.12126.pdf
|
2020-05
|
Arxiv
|
aa-recentlyAdded
|
0
|
Partially-Typed NER Datasets Integration: Connecting Practice to Theory
|
Shi Zhi, Liyuan Liu, Yu Zhang, Shiyin Wang, Qi Li, Chao Zhang, Jiawei Han
|
https://arxiv.org/pdf/2005.00502.pdf
|
2020-04
|
Arxiv
|
aa-recentlyAdded
|
0
|
Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve
|
Authors: Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova
|
https://arxiv.org/pdf/2004.04564.pdf
|
2020-04
|
Arxiv
|
aa-recentlyAdded
|
0
|
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation
|
Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren
|
https://arxiv.org/pdf/2004.07499.pdf
|
2020-04
|
Arxiv
|
aa-recentlyAdded
|
0
|
Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models
|
Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova
|
https://arxiv.org/pdf/2004.04123.pdf
|
2020-03
|
Arxiv
|
aa-recentlyAdded
|
0
|
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning
|
Suyu Ge, Fangzhao Wu, Chuhan Wu, Tao Qi, Yongfeng Huang, Xing Xie
|
https://arxiv.org/pdf/2003.09288.pdf
|
2020-01
|
Arxiv
|
aa-recentlyAdded
|
0
|
MT-BioNER: Multi-task Learning for Biomedical Named Entity Recognition using Deep Bidirectional Transformers
|
Muhammad Raza Khan, Morteza Ziyadi, Mohamed AbdelHady
|
https://arxiv.org/pdf/2001.08904.pdf
|
2020-01
|
Arxiv
|
aa-recentlyAdded
|
0
|
FGN: Fusion Glyph Network for Chinese Named Entity Recognition
|
Zhenyu Xuan, Rui Bao, Chuyu Ma, Shengyi Jiang
|
https://arxiv.org/pdf/2001.05272.pdf
|
2019-12
|
Arxiv
|
aa-recentlyAdded
|
0
|
Chinese Named Entity Recognition Augmented with Lexicon Memory
|
Yi Zhou, Xiaoqing Zheng, Xuanjing Huang
|
https://arxiv.org/pdf/1912.08282.pdf
|
2020-04
|
Arxiv
|
aa-recentlyAdded
|
0
|
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text
|
Shengbin Jia, Ling Ding, Xiaojun Chen, Yang Xiang
|
https://arxiv.org/pdf/2004.06384.pdf
|
2020-04
|
Arxiv
|
aa-recentlyAdded
|
0
|
Self-Attention Gazetteer Embeddings for Named-Entity Recognition
|
Nina Poerner, Ulli Waltinger, Hinrich Schutze
|
https://arxiv.org/pdf/2004.03354.pdf
|
2020-03
|
Arxiv
|
aa-recentlyAdded
|
0
|
Adaptive Name Entity Recognition under Highly Unbalanced Data
|
Thong Nguyen, Duy Nguyen, Pramod Rao
|
https://arxiv.org/pdf/2003.10296.pdf
|
2020-03
|
Arxiv
|
aa-recentlyAdded
|
0
|
Parallel sequence tagging for concept recognition
|
Lenz Furrer, Joseph Cornelius, Fabio Rinaldi
|
https://arxiv.org/pdf/2003.07424.pdf
|
2020
|
ICLR
|
aa-recentlyAdded
|
0
|
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá
|
David I. Adelani, Michael A. Hedderich, Dawei Zhu, Esther van den Berg, Dietrich Klakow
|
https://arxiv.org/pdf/2003.08370v1.pdf
|
2020
|
AAAI
|
arch-rnn, arch-att
|
0
|
Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER
|
Peng-Hsuan Li, Tsu-Jui Fu, Wei-Yun Ma
|
https://arxiv.org/pdf/1908.11046.pdf
|
2020
|
AAAI
|
interpret-genz
|
0
|
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study
|
Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang
|
http://pfliu.com/InterpretNER/rethink-ner.pdf
|
2020
|
AAAI
|
task-weaksup
|
1
|
Weakly Supervised Sequence Tagging from Noisy Rules
|
Esteban Safranchik, Shiying Luo, Stephen H. Bach
|
http://cs.brown.edu/people/sbach/files/safranchik-aaai20.pdf
|
2020
|
AAAI
|
pre-train
|
0
|
Hierarchical Contextualized Representation for Named Entity Recognition
|
Ying Luo, Fengshun Xiao, Hai Zhao
|
https://arxiv.org/pdf/1911.02257.pdf
|
2020
|
AAAI
|
train-multiling, task-lowres
|
0
|
Zero-Resource Cross-Lingual Named Entity Recognition
|
M Saiful Bari, Shafiq Joty, Prathyusha Jwalapuram
|
https://arxiv.org/pdf/1911.09812.pdf
|
2020
|
AAAI
|
arch-rnn, arch-cnn, arch-crf, pre-train
|
0
|
Robust Named Entity Recognition with Truecasing Pretraining
|
Stephen Mayhew, Nitish Gupta, Dan Roth
|
https://arxiv.org/pdf/1912.07095.pdf
|
2019
|
ACL
|
other
|
3
|
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling
|
Yanjun Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou
|
https://arxiv.org/pdf/1906.02437.pdf
|
2019
|
ACL
|
other
|
0
|
Label-Agnostic Sequence Labeling by Copying Nearest Neighbors
|
Sam Wiseman, Karl Stratos
|
https://arxiv.org/pdf/1906.04225.pdf
|
2019
|
ACL
|
other
|
3
|
Reliability-aware Dynamic Feature Composition for Name Tagging
|
Mikel Artetxe, Gorka Labaka, Iñigo Lopez-Gazpio, Eneko Agirre
|
https://arxiv.org/pdf/1809.02094.pdf
|
2019
|
ACL
|
other
|
1
|
Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation
|
Benjamin Heinzerling, Michael Strube
|
https://arxiv.org/pdf/1906.01569.pdf
|
2019
|
ACL
|
train-active
|
0
|
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging
|
Bill Yuchen Lin, Dongho Lee, Frank F. Xu, Ouyu Lan, Xiang Ren
|
https://pdfs.semanticscholar.org/0acb/dcac9edf74cc2c1e98bd59e301c9300977d0.pdf
|
2019
|
ACL
|
train-auxiliary, task-hetero
|
0
|
A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy
|
Genady Beryozkin, Yoel Drori, Oren Gilon, Tzvika Hartman, Idan Szpektor
|
https://arxiv.org/pdf/1905.09135.pdf
|
2019
|
ACL
|
other
|
3
|
Reliability-aware Dynamic Feature Composition for Name Tagging
|
Mikel Artetxe, Gorka Labaka, Iñigo Lopez-Gazpio, Eneko Agirre
|
https://arxiv.org/pdf/1809.02094.pdf
|
2019
|
ACL
|
task-nested
|
2
|
Multi-grained Named Entity Recognition
|
Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wei Wu, Wei Fan, Fenglong Ma, Philip S. Yu
|
https://arxiv.org/pdf/1906.08449.pdf
|
2019
|
ACL
|
other
|
0
|
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning
|
Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang
|
https://arxiv.org/pdf/1906.01378.pdf
|
2019
|
ACL
|
train-transfer, train-adver, task-lowres
|
5
|
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition
|
Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth K Kwok
|
https://pdfs.semanticscholar.org/e3ca/15ccbec5ee2309031d8d90cec4d87ae11327.pdf
|
2019
|
ACL
|
task-nested, dataset
|
0
|
NNE: A Dataset for Nested Named Entity Recognition in English Newswire
|
Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cécile Paris, James R. Curran
|
https://arxiv.org/pdf/1906.01359.pdf
|
2019
|
ACL
|
other
|
1
|
Towards Improving Neural Named Entity Recognition with Gazetteers
|
Tianyu Liu, Jin-Ge Yao, Chin-Yew Lin
|
https://www.aclweb.org/anthology/P19-1524.pdf
|
2019
|
ACL
|
other
|
0
|
A Prism Module for Semantic Disentanglement in Name Entity Recognition
|
Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao, Si Li
|
https://www.aclweb.org/anthology/P19-1532.pdf
|
2019
|
ACL
|
arch-semiMarkov
|
0
|
A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition
|
Ravneet Arora, Chen-Tse Tsai, Ketevan Tsereteli, Prabhanjan Kambadur, Yi Yang
|
https://doi.org/10.18653/v1%2Fp19-1587
|
2019
|
ACL
|
dataset
|
0
|
Corpus Creation and Analysis for Named Entity Recognition in Telugu-English Code-Mixed Social Media Data
|
Vamshi Krishna Srirangam, Appidi Abhinav Reddy, Vinay Singh, Manish Shrivastava
|
https://pdfs.semanticscholar.org/375d/b0b669755db580e8a1cc097439fdb12f36a9.pdf
|
2019
|
ACL
|
train-auxiliary
|
1
|
Joint Learning of Named Entity Recognition and Entity Linking
|
Pedro Henrique Martins, Zita Marinho, André F. T. Martins
|
https://arxiv.org/pdf/1907.08243.pdf
|
2019
|
ACL
|
other
|
1
|
Towards Robust Named Entity Recognition for Historic German
|
Stefan Schweter, Johannes Baiter
|
https://arxiv.org/pdf/1906.07592.pdf
|
2019
|
ACL
|
interpret-model
|
1
|
Arabic Named Entity Recognition: What Works and What’s Next
|
Liyuan Liu, Jingbo Shang, Jiawei Han
|
https://pdfs.semanticscholar.org/d5ed/c879076d148bfa927832d3cb315f78d2def9.pdf
|
2019
|
ACL
|
arch-gnn
|
1
|
A Neural Multi-digraph Model for Chinese NER with Gazetteers
|
Ruixue Ding, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li, Luo Si
|
https://pdfs.semanticscholar.org/3d8a/bc3465b5ff6d2ee56c7df8b954a1f1978e99.pdf
|
2019
|
ACL
|
train-auxiliary, train-transfer
|
0
|
Cross-Domain NER using Cross-Domain Language Modeling
|
Chen Jia, Liang Xiao, Yue Zhang
|
https://pdfs.semanticscholar.org/647f/2ce03258c6963fbaa0e86e615a20c27e2c02.pdf
|
2019
|
ACL
|
task-nested
|
4
|
Neural Architectures for Nested NER through Linearization
|
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer
|
https://arxiv.org/pdf/1603.01360.pdf
|
2019
|
NAACL
|
arch-rnn, train-multitask
|
0
|
SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling
|
Peng Lu, Ting Bai, Philippe Langlais
|
https://pdfs.semanticscholar.org/c3ef/55696985db82c6874dc5e7051e7d01d4811b.pdf
|
2019
|
NAACL
|
train-transfer, train-multiling, train-adver, task-lowres
|
1
|
Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging
|
Lifu Huang, Heng Ji, Jonathan May
|
https://pdfs.semanticscholar.org/9774/06e0582a33a645e9e6f28af106cd1d7713cc.pdf
|
2019
|
NAACL
|
pre-train
|
27
|
Pooled Contextualized Embeddings for Named Entity Recognition
|
Alan Akbik, Tanja Bergmann, Roland Vollgraf
|
https://pdfs.semanticscholar.org/21cc/7a4b3cc7944013f4e97b18f4cdacb3abf143.pdf
|
2019
|
NAACL
|
other
|
4
|
Better Modeling of Incomplete Annotations for Named Entity Recognition
|
Zhanming Jie, Pengjun Xie, Wei Lu, Ruixue Ding, Linlin Li
|
https://pdfs.semanticscholar.org/850b/3f1e717c15a05fc60dee4e88e3d072e228ad.pdf
|
2019
|
NAACL
|
train-auxiliary
|
2
|
Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition
|
Angli Liu, Jingfei Du, Veselin Stoyanov
|
https://arxiv.org/pdf/1904.04458.pdf
|
2019
|
NAACL
|
train-active
|
1
|
Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities
|
Alexander Erdmann, David Joseph Wrisley, Benjamin Allen, Christopher Brown, Sophie Cohen-Bodénès, Micha Elsner, Yukun Feng, Brian Joseph, Béatrice Joyeux-Prunel, Marie-Catherine de Marneffe
|
https://pdfs.semanticscholar.org/c655/3ba88a9234971212d3af14cc04128d1be528.pdf
|
2019
|
NAACL
|
arch-att
|
5
|
CAN-NER: Convolutional Attention Network for Chinese Named EntityRecognition
|
Yuying Zhu, Guoxin Wang, Börje F. Karlsson
|
https://arxiv.org/pdf/1904.02141.pdf
|
2019
|
NAACL
|
train-transfer, train-multiling, train-adver, task-lowres
|
1
|
Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging
|
Lifu Huang, Heng Ji, Jonathan May
|
https://pdfs.semanticscholar.org/9774/06e0582a33a645e9e6f28af106cd1d7713cc.pdf
|
2019
|
NAACL
|
other
|
2
|
Entity Recognition at First Sight: Improving NER with Eye Movement Information
|
Nora Hollenstein, Ce Zhang
|
https://www.aclweb.org/anthology/N19-1001.pdf
|
2019
|
NAACL
|
arch-gnn
|
7
|
GraphIE: A Graph-Based Framework for Information Extraction
|
Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay
|
https://arxiv.org/pdf/1810.13083.pdf
|
2019
|
EMNLP
|
task-nested
|
0
|
A Boundary-aware Neural Model for Nested Named Entity Recognition
|
Meizhi Ju, Makoto Miwa, Sophia Ananiadou
|
https://pdfs.semanticscholar.org/2e7f/5969603db8ba8b63fcb2e38ea520d9fda58c.pdf
|
2019
|
EMNLP
|
train-active, task-lowres
|
1
|
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers
|
Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime G. Carbonell
|
https://arxiv.org/pdf/1908.08983.pdf
|
2019
|
EMNLP
|
other
|
1
|
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
|
Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han
|
https://arxiv.org/pdf/1909.01441.pdf
|
2019
|
EMNLP
|
arch-rnn, arch-crf
|
1
|
Dependency-Guided LSTM-CRF for Named Entity Recognition
|
Zhanming Jie, Wei Lu
|
https://arxiv.org/pdf/1909.10148.pdf
|
2019
|
EMNLP
|
arch-gnn
|
0
|
Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network
|
Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu
|
https://www.aclweb.org/anthology/D19-1396.pdf
|
2019
|
EMNLP
|
other
|
0
|
Similarity Based Auxiliary Classifier for Named Entity Recognition
|
Shiyuan Xiao, Yuanxin Ouyang, Wenge Rong, Jianxin Yang, Zhang Xiong
|
https://pdfs.semanticscholar.org/5538/fba36a2fdd89c3a4fe2970c3c0b539f5d04a.pdf
|
2019
|
EMNLP
|
arch-att
|
0
|
GEANN: Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition
|
Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun, B. Dong, Shanshan Jiang
|
https://pdfs.semanticscholar.org/4a6b/600030f7df252e47046bf10a73e94247be26.pdf
|
2019
|
EMNLP
|
other
|
0
|
Hierarchical Meta-Embeddings for Code-switching Named Entity Recognition
|
Genta Indra Winata, Zhaojiang Lin, Jamin Shin, Zihan Liu, Pascale Fung
|
https://arxiv.org/pdf/1909.08504.pdf
|
2019
|
EMNLP
|
train-auxiliary
|
0
|
Improved Differentiable Architecture Search for Language Model and Named Entity Recognition
|
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer
|
https://arxiv.org/pdf/1603.01360.pdf
|
2019
|
EMNLP
|
train-multitask
|
0
|
Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrase
|
Taiki Watanabe, Akihiro Tamura, Takashi Ninomiya, Takuya Makino, Tomoya Iwakura
|
https://www.aclweb.org/anthology/D19-1648.pdf
|
2019
|
EMNLP
|
train-multiling
|
33
|
Preprocessing Matters for Cross-Lingual Named Entity Recognition
|
Chen-Tse Tsai, Stephen Mayhew, Dan Roth
|
https://pdfs.semanticscholar.org/c8a3/a1391845667702d4d5df10be0c5761202cbe.pdf
|
2019
|
EMNLP
|
task-lowres
|
1
|
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels
|
Debjit Paul, Mittul Singh, Michael A. Hedderich, Dietrich Klakow
|
https://arxiv.org/pdf/1903.12008.pdf
|
2019
|
EMNLP
|
other
|
1
|
A Bayesian Approach for Sequence Tagging with Crowds
|
Edwin Simpson, Iryna Gurevych
|
https://pdfs.semanticscholar.org/1988/8c8d4e3393b91e20b686c8f31fdf19b06380.pdf
|
2019
|
EMNLP
|
train-transfer
|
0
|
Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation
|
Nanyun Peng, Mark Dredze
|
https://arxiv.org/pdf/1608.02689.pdf
|
2019
|
EMNLP
|
arch-att
|
0
|
Hierarchically-Refined Label Attention Network for Sequence Labeling
|
Leyang Cui, Yue Zhang
|
https://arxiv.org/pdf/1908.08676.pdf
|
2019
|
EMNLP
|
pre-train, task-lowres
|
0
|
Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations
|
Ryan Cotterell, Kevin Duh
|
https://pdfs.semanticscholar.org/2810/5f29871aa490082f3d756961d41ab65d2d4c.pdf
|
2019
|
EMNLP
|
train-transfer, pre-train
|
4
|
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling
|
Xiaochuang Han, Jacob Eisenstein
|
https://pdfs.semanticscholar.org/7c31/207452922e7db7220b15dcbdeb3978f7ec4a.pdf
|
2019
|
EMNLP
|
intepret
|
0
|
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis
|
Xiaolei Huang, Jonathan May, Nanyun Peng
|
https://www.aclweb.org/anthology/D19-1672.pdf
|
2019
|
EMNLP
|
arch-gnn
|
1
|
A Lexicon-Based Graph Neural Network for Chinese NER
|
Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang
|
https://www.aclweb.org/anthology/D19-1096.pdf
|
2019
|
AAAI
|
train-multitask, train-auxiliary
|
4
|
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization
|
Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang
|
https://arxiv.org/pdf/1812.06081.pdf
|
2019
|
AAAI
|
arch-cnn
|
4
|
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition
|
Hui Chen, Zijia Lin, Guiguang Ding, Jian-Guang Lou, Yusen Zhang, Börje F. Karlsson
|
https://arxiv.org/pdf/1907.05611.pdf
|
2019
|
AAAI
|
other
|
0
|
Chinese NER with Height-Limited Constituent Parsing
|
Rui Wang, Xin Xin, Wei Tang Chang, Kun Ming, Biao Li, Xin Fan
|
https://www.aaai.org/ojs/index.php/AAAI/article/view/4699
|
2019
|
AAAI
|
train-transfer
|
2
|
Transfer Learning Only Using the Source Model and the Target Data for Sequence Labeling Tasks
|
Lingzhen Chen, Alessandro Moschitti
|
https://arxiv.org/pdf/1902.05309.pdf
|
2019
|
IJCAI
|
arch-cnn
|
3
|
CNN-Based Chinese NER with Lexicon Rethinking
|
Tao Gui, Ruotian Ma, Qi Zhang, Lujun Zhao, Yu-Gang Jiang, Xuanjing Huang
|
https://pdfs.semanticscholar.org/1698/d96c6fffee9ec969e07a58bab62cb4836614.pdf
|
2019
|
IJCAI
|
other
|
1
|
Coreference Aware Representation Learning for Neural Named Entity Recognition
|
Zeyu Dai, Hongliang Fei, Ping Li
|
https://pdfs.semanticscholar.org/607b/cd32e37b5e08e846fc96007c104a65c50b98.pdf
|
2019
|
IJCAI
|
train-transfer, train-adver
|
1
|
Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks
|
Jing Li, Deheng Ye, Shuo Shang
|
https://www.ijcai.org/proceedings/2019/0702.pdf
|
2019
|
IJCAI
|
other
|
0
|
Learning Task-specific Representation for Novel Words in Sequence Labeling
|
Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu, Xuanjing Huang
|
https://arxiv.org/pdf/1905.12277.pdf
|
2018
|
ACL
|
train-multitask, train-multiling, task-lowres
|
27
|
A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling
|
Ying Lin, Shengqi Yang, Veselin Stoyanov, Heng Ji
|
https://pdfs.semanticscholar.org/5332/ba8db0c732f8cb9207375d10cfea45f27a72.pdf
|
2018
|
ACL
|
arch-crf, arch-semiMarkov
|
12
|
Hybrid semi-Markov CRF for Neural Sequence Labeling
|
Zhi-Xiu Ye, Zhen-Hua Ling
|
https://arxiv.org/pdf/1805.03838.pdf
|
2018
|
ACL
|
arch-att, train-multimodal
|
7
|
Visual Attention Model for Name Tagging in Multimodal Social Media
|
Di Lu, Leonardo Neves, Vitor Carvalho, Ning Zhang, Heng Ji
|
https://pdfs.semanticscholar.org/df7f/6ec612722399458203ed27e6ca57ee31297e.pdf
|
2018
|
ACL
|
arch-rnn
|
52
|
Chinese NER Using Lattice LSTM
|
Yue Zhang, Jie Yang
|
https://arxiv.org/pdf/1805.02023.pdf
|
2018
|
ACL
|
train-multimodal
|
8
|
Multimodal Named Entity Disambiguation for Noisy Social Media Posts
|
Seungwhan Moon, Leonardo Neves, Vitor Carvalho
|
https://pdfs.semanticscholar.org/eae4/830b237d0ccb853ff729e31035ca8220fbed.pdf
|
2018
|
ACL
|
train-auxiliary
|
4
|
Building Language Models for Text with Named Entities
|
Md. Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
|
https://arxiv.org/pdf/1805.04836.pdf
|
2018
|
ACL
|
arch-rnn
|
10
|
Named Entity Recognition With Parallel Recurrent Neural Networks
|
Andrej Zukov Gregoric, Yoram Bachrach, Sam Coope
|
https://pdfs.semanticscholar.org/2400/9c069ace3a8dc8c6f1ca2fdaa6392363e361.pdf
|
2018
|
ACL
|
other
|
5
|
A Named Entity Recognition Shootout for German
|
Martin Riedl, Sebastian Padó
|
https://pdfs.semanticscholar.org/98ce/1f4a52bdf9dd2a1319b9d63187f5397fe95a.pdf
|
2018
|
ACL
|
other
|
5
|
A Study of the Importance of External Knowledge in the Named Entity Recognition Task
|
Dominic Seyler, Tatiana Dembelova, Luciano Del Corro, Johannes Hoffart, Gerhard Weikum
|
https://pdfs.semanticscholar.org/c033/4f94c00860a8460c51c74b03f1c7a3cb91bc.pdf
|
2018
|
ACL
|
other
|
4
|
Improving Topic Quality by Promoting Named Entities in Topic Modeling
|
Katsiaryna Krasnashchok, Salim Jouili
|
https://pdfs.semanticscholar.org/ee82/a76272b6862c2e24b8f89754bba6c1cb1f7d.pdf
|
2018
|
NAACL
|
train-transfer
|
11
|
Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition
|
Zhenghui Wang, Yanru Qu, Liheng Chen, Jian Shen, Weinan Zhang, Shaodian Zhang, Yimei Gao, Gen Gu, Ken Chen, Yong Yu
|
https://arxiv.org/pdf/1804.09021.pdf
|
2018
|
NAACL
|
train-multimodal
|
15
|
Multimodal Named Entity Recognition for Short Social Media Posts
|
Seungwhan Moon, Leonardo Neves, Vitor Carvalho
|
https://arxiv.org/pdf/1802.07862.pdf
|
2018
|
NAACL
|
task-nested
|
25
|
Nested Named Entity Recognition Revisited
|
Arzoo Katiyar, Claire Cardie
|
https://pdfs.semanticscholar.org/13c9/790684810161bffa9cf511a60d2471469bac.pdf
|
2018
|
NAACL
|
other
|
12
|
Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media
|
Gustavo Aguilar, Adrián Pastor López-Monroy, Fabio A. González, Thamar Solorio
|
https://arxiv.org/pdf/1906.04129.pdf
|
2018
|
NAACL
|
task-nested
|
34
|
A Neural Layered Model for Nested Named Entity Recognition
|
Meizhi Ju, Makoto Miwa, Sophia Ananiadou
|
https://pdfs.semanticscholar.org/2e7f/5969603db8ba8b63fcb2e38ea520d9fda58c.pdf
|
2018
|
EMNLP
|
train-auxiliary, pre-train
|
10
|
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
|
Liyuan Liu, Xiang Ren, Jingbo Shang, Juan Peng, Jiawei Han
|
https://arxiv.org/pdf/1804.07827.pdf
|
2018
|
EMNLP
|
other
|
3
|
Learning Better Internal Structure of Words for Sequence Labeling
|
Yingwei Xin, Ethan Hart, Vibhuti Mahajan, Jean-David Ruvini
|
https://arxiv.org/pdf/1810.12443.pdf
|
2018
|
EMNLP
|
arch-att, train-transfer, train-adver
|
20
|
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism
|
Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu
|
https://pdfs.semanticscholar.org/5860/a361b9987572405b71a6b78d9bce347d1c40.pdf
|
2018
|
EMNLP
|
train-multiling
|
31
|
Neural Cross-Lingual Named Entity Recognition with Minimal Resources
|
Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell
|
https://arxiv.org/pdf/1808.09861.pdf
|
2018
|
EMNLP
|
train-transfer
|
11
|
Neural Adaptation Layers for Cross-domain Named Entity Recognition
|
Bill Yuchen Lin, Wei Lu
|
https://arxiv.org/pdf/1810.06368.pdf
|
2018
|
EMNLP
|
other
|
20
|
Learning Named Entity Tagger using Domain-Specific Dictionary
|
Jingbo Shang, Liyuan Liu, Xiang Ren, Xiaotao Gu, Teng Ren, Jiawei Han
|
https://arxiv.org/pdf/1809.03599.pdf
|
2018
|
EMNLP
|
arch-rnn, arch-crf, train-auxiliary
|
17
|
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets
|
Nathan Greenberg, Trapit Bansal, Pat Verga, Andrew McCallum
|
https://pdfs.semanticscholar.org/5eee/280d8cba0956ec410a7cdccc49d1611a6168.pdf
|
2018
|
EMNLP
|
task-nested
|
10
|
Deep Exhaustive Model for Nested Named Entity Recognition
|
Mohammad Golam Sohrab, Makoto Miwa
|
https://pdfs.semanticscholar.org/eb87/4d77609baeb1f226b5db4ca8770b343f4ce8.pdf
|
2018
|
EMNLP
|
train-auxiliary
|
3
|
On the Strength of Character Language Models for Multilingual Named Entity Recognition
|
Xiaodong Yu, Stephen Mayhew, Mark Sammons, Dan Roth
|
https://arxiv.org/pdf/1809.05157.pdf
|
2018
|
AAAI
|
dataset, arch-att, train-multimodal
|
20
|
Adaptive Co-attention Network for Named Entity Recognition in Tweet
|
Qi Zhang, Jinlan Fu, Xiaoyu Liu, Xuanjing Huang
|
https://pdfs.semanticscholar.org/5ca1/c595708d22d92b3f913be391575560bdab2c.pdf
|
2018
|
AAAI
|
other
|
3
|
OTyper : A Neural Architecture for Open Named Entity Typing
|
Zheng Yuan, Doug Downey
|
https://pdfs.semanticscholar.org/bd91/3a1c95082ac378ed6946569efecc98b6d047.pdf
|
2018
|
AAAI
|
train-adver
|
8
|
Adversarial Learning for Chinese NER from Crowd Annotation
|
YaoSheng Yang, Meishan Zhang, Wenliang Chen, Wei Zhang, Haofen Wang, Min Zhang
|
https://arxiv.org/pdf/1801.05147.pdf
|
2018
|
AAAI
|
train-auxiliary
|
118
|
Empower Sequence Labeling with Task-Aware Neural Language Model
|
Liyuan Liu, Jingbo Shang, Xiang Ren, Frank F. Xu, Huan Gui, Jian Peng, Jiawei Han
|
https://arxiv.org/pdf/1709.04109.pdf
|
2018
|
ICLR
|
train-active
|
73
|
Deep Active Learning for Named Entity Recognition
|
Yanyao Shen, Hyokun Yun, Zachary Lipton, Yakov Kronrod, Animashree Anandkumar
|
https://www.aclweb.org/anthology/W17-2630.pdf
|
2018
|
IJCAI
|
train-transfer, train-multiling
|
10
|
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer
|
Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu
|
https://pdfs.semanticscholar.org/6343/2c9c90dd0bf0d23ab016c2c039bbb0086ba2.pdf
|
2018
|
IJCAI
|
other
|
5
|
Learning Tag Dependencies for Sequence Tagging
|
Yuan Zhang, Hongshen Chen, Yihong Zhao, Qun Liu, Dawei Yin
|
https://pdfs.semanticscholar.org/9e49/6d85869a9ab023d01a742f20bc32bcb446b6.pdf
|
2017
|
ACL
|
arch-rnn, train-multitask
|
105
|
Semi-supervised Multitask Learning for Sequence Labeling
|
Marek Rei
|
https://arxiv.org/pdf/1704.07156.pdf
|
2017
|
ACL
|
train-auxiliary
|
212
|
Semi-supervised sequence tagging with bidirectional language models
|
Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, Russell Power
|
https://arxiv.org/pdf/1705.00108.pdf
|
2017
|
ACL
|
train-multiling
|
42
|
Cross-lingual Name Tagging and Linking for 282 Languages
|
Xiaoman Pan, Boliang Zhang, Jonathan May, Joel Nothman, Kevin Knight, Heng Ji
|
https://pdfs.semanticscholar.org/6162/53f6b1e83ede361457de2f51b0bf70555b13.pdf
|
2017
|
ACL
|
other
|
38
|
A Local Detection Approach for Named Entity Recognition and Mention Detection
|
Mingbin Xu, Hui Jiang, Sedtawut Watcharawittayakul
|
https://pdfs.semanticscholar.org/7194/1248d1e3d78e9a81e5cca3a566b875e10d3b.pdf
|
2017
|
ACL
|
train-multiling
|
29
|
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection
|
Jian Ni, Georgiana Dinu, Radu Florian
|
https://arxiv.org/pdf/1707.02483.pdf
|
2017
|
ACL
|
other
|
1
|
English Multiword Expression-aware Dependency Parsing Including Named Entities
|
Akihiko Kato, Hiroyuki Shindo, Yuji Matsumoto
|
https://pdfs.semanticscholar.org/7878/37d2984bf7f78535467f087e6618ae8ecc87.pdf
|
2017
|
EMNLP
|
arch-rnn
|
165
|
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging
|
Nils Reimers, Iryna Gurevych
|
https://arxiv.org/pdf/1707.09861.pdf
|
2017
|
EMNLP
|
train-multiling
|
33
|
Cheap Translation for Cross-Lingual Named Entity Recognition
|
Stephen Mayhew, Chen-Tse Tsai, Dan Roth
|
https://pdfs.semanticscholar.org/78a9/91c89c9f3ef7b138f8b3f22e83d1b101b6b0.pdf
|
2017
|
EMNLP
|
arch-rnn
|
12
|
Leveraging Linguistic Structures for Named Entity Recognition with Bidirectional Recursive Neural Networks
|
Peng-Hsuan Li, Ruo-Ping Dong, Yu-Siang Wang, Ju-Chieh Chou, Wei-Yun Ma
|
https://pdfs.semanticscholar.org/c4a8/86bdb35f240d545b01a7bdb3bf9d710e07c6.pdf
|
2017
|
EMNLP
|
arch-rnn
|
85
|
NeuroNER: an easy-to-use program for named-entity recognition based on neural networks
|
Franck Dernoncourt, Ji Young Lee, Peter Szolovits
|
https://arxiv.org/pdf/1705.05487.pdf
|
2017
|
EMNLP
|
other
|
3
|
NITE: A Neural Inductive Teaching Framework for Domain Specific NER
|
Siliang Tang, Ning Zhang, Jinjiang Zhang, Fei Wu, Yueting Zhuang
|
https://www.aclweb.org/anthology/D17-1280.pdf
|
2017
|
AAAI
|
other
|
15
|
Efficient Dependency-Guided Named Entity Recognition
|
Zhanming Jie, Aldrian Obaja Muis, Wei Lu
|
https://arxiv.org/pdf/1810.08436.pdf
|
2017
|
AAAI
|
train-transfer
|
40
|
A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media
|
Hangfeng He, Xu Sun
|
https://pdfs.semanticscholar.org/581e/200ec1e1317faf3895ab6ed464c5a161ed2b.pdf
|
2017
|
ICLR
|
arch-rnn, arch-cnn, arch-crf, train-transfer
|
140
|
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks
|
Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen
|
https://arxiv.org/pdf/1703.06345.pdf
|
2016
|
ACL
|
arch-rnn, arch-cnn, arch-crf
|
978
|
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
|
Xuezhe Ma, Eduard H. Hovy
|
https://arxiv.org/pdf/1603.01354.pdf
|
2016
|
ACL
|
other
|
4
|
Alleviating Poor Context with Background Knowledge for Named Entity Disambiguation
|
Ander Barrena, Aitor Soroa, Eneko Agirre
|
https://www.aclweb.org/anthology/P16-1179.pdf
|
2016
|
ACL
|
arch-rnn
|
34
|
Recurrent neural network models for disease name recognition using domain invariant features
|
Sunil Kumar Sahu, Ashish Anand
|
https://arxiv.org/pdf/1606.09371.pdf
|
2016
|
ACL
|
other
|
8
|
Domain Specific Named Entity Recognition Referring to the Real World by Deep Neural Networks
|
Suzushi Tomori, Takashi Ninomiya, Shinsuke Mori
|
https://pdfs.semanticscholar.org/b616/c6a2c50100d49184a8c5676965f8fd9dc4eb.pdf
|
2016
|
ACL
|
train-active
|
13
|
Bootstrapped Text-level Named Entity Recognition for Literature
|
Julian Brooke, Adam Hammond, Timothy Baldwin
|
https://pdfs.semanticscholar.org/6115/699ee0b8c3cf797be394382f84a17fa9c473.pdf
|
2016
|
ACL
|
train-auxiliary
|
83
|
Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning
|
Nanyun Peng, Mark Dredze
|
https://arxiv.org/pdf/1603.00786.pdf
|
2016
|
EMNLP
|
task-hetero
|
6
|
Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning
|
Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang
|
https://pdfs.semanticscholar.org/2f1b/ede073ff7c8136e66df22d3feaabef5747ac.pdf
|
2016
|
EMNLP
|
arch-rnn
|
94
|
Structured prediction models for RNN based sequence labeling in clinical text
|
Abhyuday Jagannatha, Hong Yu
|
https://pdfs.semanticscholar.org/4acf/3db41f1c34cf8d568ecd198820f9993da03c.pdf
|
2016
|
EMNLP
|
arch-rnn
|
1
|
Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary
|
Qi Zhang, Jin Qian, Ya Guo, Yaqian Zhou, Xuanjing Huang
|
https://pdfs.semanticscholar.org/2636/2bf123d93f1d2cc268b3086473ad7373119d.pdf
|
2016
|
EMNLP
|
train-transfer
|
22
|
Named Entity Recognition for Novel Types by Transfer Learning
|
Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Timothy Baldwin
|
https://arxiv.org/pdf/1610.09914.pdf
|
2016
|
EMNLP
|
other
|
16
|
Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping
|
Jian Ni, Radu Florian
|
https://arxiv.org/pdf/1707.02459.pdf
|
2016
|
EMNLP
|
train-transfer
|
34
|
Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings
|
Akash Bharadwaj, David R. Mortensen, Chris Dyer, Jaime G. Carbonell
|
https://pdfs.semanticscholar.org/f1a8/ff5542ffd51c3618953e5cf926c467154f79.pdf
|
2016
|
NAACL
|
task-lowres
|
22
|
Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning
|
Boliang Zhang, Xiaoman Pan, Tianlu Wang, Ashish Vaswani, Heng Ji, Kevin Knight, Daniel Marcu
|
https://pdfs.semanticscholar.org/5d4f/e3d113fa2b59620dac76026eb12cd38d2cb7.pdf
|
2016
|
NAACL
|
arch-rnn, arch-crf
|
1466
|
Neural Architectures for Named Entity Recognition
|
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer
|
https://www.aclweb.org/anthology/N16-1030.pdf
|
2016
|
NAACL
|
other
|
6
|
An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition
|
Wencan Luo, Fan Yang
|
https://pdfs.semanticscholar.org/45d9/98877bce6b11cfaa273ceaa27c44cf101ad5.pdf
|
2015
|
ACL
|
other
|
8
|
Low-Rank Regularization for Sparse Conjunctive Feature Spaces: An Application to Named Entity Classification
|
Audi Primadhanty, Xavier Carreras, Ariadna Quattoni
|
https://pdfs.semanticscholar.org/983f/169e7989d0b0d7f5a221723c221b1e558a60.pdf
|
2015
|
ACL
|
other
|
17
|
Improving Named Entity Recognition in Tweets via Detecting Non-Standard Words
|
Chen Li, Yang P. Liu
|
https://pdfs.semanticscholar.org/67fb/020f576ce96907bf4affc919a14b7450b5a7.pdf
|
2015
|
EMNLP
|
other
|
17
|
Named entity recognition with document-specific KB tag gazetteers
|
Will Radford, Xavier Carreras, James Henderson
|
https://pdfs.semanticscholar.org/0da9/4649fbba4363393871188764ef784c26bb99.pdf
|
2015
|
EMNLP
|
train-auxiliary
|
83
|
Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings
|
Nanyun Peng, Mark Dredze
|
https://pdfs.semanticscholar.org/0962/f2a4452d7232fb031699ae933dccc77e5da0.pdf
|
2015
|
EMNLP
|
other
|
42
|
FINET: Context-Aware Fine-Grained Named Entity Typing
|
Luciano Del Corro, Abdalghani Abujabal, Rainer Gemulla, Gerhard Weikum
|
https://pdfs.semanticscholar.org/2af0/4968f22a1828a526427e2427211799dcc5af.pdf
|
2015
|
NAACL
|
other
|
7
|
Enhancing Sumerian Lemmatization by Unsupervised Named-Entity Recognition
|
Yudong Liu, Clinton Burkhart, James Hearne, Liang Luo
|
https://pdfs.semanticscholar.org/7992/d9e07b086aa639479d12b1dbda99891f0dbb.pdf
|
2015
|
NAACL
|
other
|
40
|
The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition
|
Colin Cherry, Hongyu Guo
|
https://pdfs.semanticscholar.org/9326/d2d9ea9b737ce484cdaa79cc22fb712d617b.pdf
|
2015
|
AAAI
|
other
|
8
|
Named Entity Recognition in Travel-Related Search Queries
|
Brooke Cowan, Sven Zethelius, Brittany Luk, Teodora Baras, Prachi Ukarde, Daodao Zhang
|
https://pdfs.semanticscholar.org/2da4/0f5dda818aea7cca17affa976735c0452cb6.pdf
|
2013
|
ACL
|
train-multiling
|
47
|
Named Entity Recognition using Cross-lingual Resources: Arabic as an Example
|
Kareem Darwish
|
https://pdfs.semanticscholar.org/b64c/73e3ca26415b5620cfcff3355bd8611bd38b.pdf
|
2013
|
ACL
|
train-auxiliary
|
50
|
Joint Word Alignment and Bilingual Named Entity Recognition Using Dual Decomposition
|
Mengqiu Wang, Wanxiang Che, Christopher D. Manning
|
https://pdfs.semanticscholar.org/b79b/12fb29ce3f47f9544551aa4cd1f49776ef03.pdf
|
2013
|
NAACL
|
train-multiling
|
65
|
Named Entity Recognition with Bilingual Constraints
|
Wanxiang Che, Mengqiu Wang, Christopher D. Manning, Ting Liu
|
https://pdfs.semanticscholar.org/3dd6/3c9b5ea5df6ec020a34bf8ea7c1bf15997c7.pdf
|
2014
|
NAACL
|
other
|
3
|
Focused training sets to reduce noise in NER feature models
|
Amber McKenzie
|
https://www.aclweb.org/anthology/N13-1042.pdf
|
2013
|
NAACL
|
other
|
10
|
Combining multiple information types in Bayesian word segmentation
|
Gabriel Doyle, Roger Levy
|
https://pdfs.semanticscholar.org/b8fb/8ab8f54a6efd06a869ca4877da22022c80e7.pdf
|
2013
|
AAAI
|
train-multiling
|
25
|
Effective Bilingual Constraints for Semi-supervised Learning of Named Entity Recognizers
|
Mengqiu Wang, Wanxiang Che, Christopher D. Manning
|
https://pdfs.semanticscholar.org/7b87/611252e49e154bcc38fa172043b9b3273299.pdf
|
2018
|
COLING
|
other
|
3
|
Design Challenges in Named Entity Transliteration
|
Yuval Merhav,Stephen Ash
|
https://arxiv.org/pdf/1808.02563.pdf
|
2018
|
COLING
|
train-active
|
2
|
Exploiting Structure in Representation of Named Entities using Active Learning
|
Nikita Bhutani, Kun Qian, Yunyao Li, H. V. Jagadish, Mauricio Hernandez, Mitesh Vasa
|
https://arxiv.org/pdf/1808.02563.pdf
|
2018
|
COLING
|
other
|
6
|
An Empirical Study on Fine-Grained Named Entity Recognition
|
Khai Mai,Thai-Hoang Pham,Minh Trung Nguyen,Nguyen Tuan Duc,Danushka Bollegala,Ryohei Sasano,Satoshi Sekine
|
https://pdfs.semanticscholar.org/e0aa/2c66b2e4c4d00b94b36eac9a64ab5c9b4dc0.pdf
|
2018
|
COLING
|
other
|
19
|
Robust Lexical Features for Improved Neural Network Named-Entity Recognition
|
Abbas Ghaddar,Philippe Langlais
|
https://arxiv.org/pdf/1806.03489.pdf
|
2018
|
COLING
|
train-auxiliary
|
7
|
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags
|
Onur Güngör,Suzan Üsküdarli,Tunga Güngör
|
https://arxiv.org/pdf/1807.06683.pdf
|
2018
|
COLING
|
other
|
67
|
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models
|
Vikas Yadav,Steven Bethard
|
https://arxiv.org/pdf/1910.11470.pdf
|
2018
|
COLING
|
other
|
4
|
An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification
|
Ajay Nagesh,Mihai Surdeanu
|
https://pdfs.semanticscholar.org/8469/1947069619e8959aabe446895eb604f6de88.pdf
|
2018
|
COLING
|
interpret-model
|
49
|
Design Challenges and Misconceptions in Neural Sequence Labeling
|
Jie Yang, Shuailong Liang, Yue Zhang
|
https://arxiv.org/pdf/1806.04470.pdf
|
2018
|
COLING
|
other
|
11
|
Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning
|
YaoSheng Yang,Wenliang Chen,Zhenghua Li,Zhengqiu He,Min Zhang
|
https://pdfs.semanticscholar.org/9ff9/290fad300a15770806de936f5b84cd68667c.pdf
|
2016
|
COLING
|
other
|
6
|
Mongolian Named Entity Recognition System with Rich Features
|
Weihua Wang,Feilong Bao,Guanglai Gao
|
https://pdfs.semanticscholar.org/3824/e7d10a8aa6753410dd82fc86c9cf3ce91088.pdf
|
2016
|
COLING
|
arch-char
|
50
|
CharNER: Character-Level Named Entity Recognition
|
Onur Kuru,Ozan Arkan Can,Deniz Yuret
|
https://pdfs.semanticscholar.org/d95f/72fd2c84a4c412eb519b660e402db51d154a.pdf
|
2016
|
COLING
|
task-lowres
|
4
|
Named Entity Recognition for Linguistic Rapid Response in Low-Resource Languages: Sorani Kurdish and Tajik
|
Patrick Littell,Kartik Goyal,David R. Mortensen,Alexa Little,Chris Dyer,Lori S. Levin
|
https://pdfs.semanticscholar.org/2c7b/93091ffbd55d1ee53ded88a5b5c615443c37.pdf
|
2016
|
COLING
|
dataset
|
19
|
Broad Twitter Corpus: A Diverse Named Entity Recognition Resource
|
Leon Derczynski,Kalina Bontcheva,Ian Roberts
|
https://pdfs.semanticscholar.org/52a7/96fd073ea6a621ecdf2c8b450c4a4717ff51.pdf
|
2016
|
COLING
|
other
|
2
|
Named Entity Disambiguation for little known referents: a topic-based approach
|
Yi Chen,Yusong Tan,Qingbo Wu,Wei Wang
|
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8343692
|
2016
|
COLING
|
other
|
1
|
Experiments in Candidate Phrase Selection for Financial Named Entity Extraction - A Demo
|
Aman Kumar,Hassan Alam,Tina Werner,Manan Vyas
|
https://pdfs.semanticscholar.org/cfa0/2cbd53690375cbcb6351d3da5f9acc556aab.pdf
|
2014
|
COLING
|
other
|
6
|
A Hybrid Approach to Features Representation for Fine-grained Arabic Named Entity Recognition
|
Fahd Alotaibi,Mark G. Lee
|
https://pdfs.semanticscholar.org/0c7e/c21736a7a0180915e619ebea806a3e35ef7a.pdf
|
2019
|
Arxiv
|
interpret-error
|
1
|
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
|
Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han
|
https://arxiv.org/pdf/1909.01441.pdf
|
2009
|
CoNLL
|
interpret-model
|
1193
|
Design Challenges and Misconceptions in Named Entity Recognition
|
Lev Ratinov, Dan Roth
|
https://www.aclweb.org/anthology/W09-1119.pdf
|
2019
|
Arxiv
|
arch-transformer
|
0
|
TENER: Adapting Transformer Encoder for Named Entity Recognition
|
Hang Yan, Bocao Deng, Xiaonan Li, Xipeng Qiu
|
https://arxiv.org/pdf/1911.04474.pdf
|
2019
|
ACL
|
arch-rnn, arch-cnn, arch-crf
|
3
|
Reliability-aware Dynamic Feature Composition for Name Tagging
|
Ying Lin, Liyuan Liu, Heng Ji, Dong Yu, Jiawei Han
|
https://www.aclweb.org/anthology/P19-1016.pdf
|
2016
|
IJCAI
|
arch-semicrf
|
37
|
Exploring Segment Representations for Neural Segmentation Models
|
Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu
|
https://www.ijcai.org/Proceedings/16/Papers/409.pdf
|