Papers
361 papers found
CMNEROne at SemEval-2022 Task 11: Code-Mixed Named Entity Recognition by leveraging multilingual data
Suman Dowlagar, Radhika Mamidi
NamedEntityRangers at SemEval-2022 Task 11: Transformer-based Approaches for Multilingual Complex Named Entity Recognition
Amina Miftahova, Alexander Pugachev, Artem Skiba et al.
Raccoons at SemEval-2022 Task 11: Leveraging Concatenated Word Embeddings for Named Entity Recognition
Atharvan Dogra, Prabsimran Kaur, Guneet Kohli et al.
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models
Changyu Hou, Jun Wang, Yixuan Qiao et al.
NCUEE-NLP at SemEval-2022 Task 11: Chinese Named Entity Recognition Using the BERT-BiLSTM-CRF Model
Lung-Hao Lee, Chien-Huan Lu, Tzu-Mi Lin
CMB AI Lab at SemEval-2022 Task 11: A Two-Stage Approach for Complex Named Entity Recognition via Span Boundary Detection and Span Classification
Keyu Pu, Hongyi Liu, Yixiao Yang et al.
UA-KO at SemEval-2022 Task 11: Data Augmentation and Ensembles for Korean Named Entity Recognition
Hyunju Song, Steven Bethard
USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity Recognition
Beiduo Chen, Jun-Yu Ma, Jiajun Qi et al.
Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NER
Amit Pandey, Swayatta Daw, Vikram Pudi
L3i at SemEval-2022 Task 11: Straightforward Additional Context for Multilingual Named Entity Recognition
Emanuela Boros, Carlos-Emiliano González-Gallardo, Jose Moreno et al.
SU-NLP at SemEval-2022 Task 11: Complex Named Entity Recognition with Entity Linking
Buse Çarık, Fatih Beyhan, Reyyan Yeniterzi
PAI at SemEval-2022 Task 11: Name Entity Recognition with Contextualized Entity Representations and Robust Loss Functions
Long Ma, Xiaorong Jian, Xuan Li
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles
Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth et al.
ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them
Dawid Jurkiewicz, Łukasz Borchmann, Izabela Kosmala et al.
Aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning
Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov
CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda Detection
Verena Blaschke, Maxim Korniyenko, Sam Tureski
Inno at SemEval-2020 Task 11: Leveraging Pure Transfomer for Multi-Class Propaganda Detection
Dmitry Grigorev, Vladimir Ivanov
NoPropaganda at SemEval-2020 Task 11: A Borrowed Approach to Sequence Tagging and Text Classification
Ilya Dimov, Vladislav Korzun, Ivan Smurov
NTUAAILS at SemEval-2020 Task 11: Propaganda Detection and Classification with biLSTMs and ELMo
Anastasios Arsenos, Georgios Siolas
Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and Data Augmentation in Neural Models for Propaganda Detection in News Articles
Michael Kranzlein, Shabnam Behzad, Nazli Goharian
YNU-HPCC at SemEval-2020 Task 11: LSTM Network for Detection of Propaganda Techniques in News Articles
Jiaxu Dao, Jin Wang, Xuejie Zhang
3218IR at SemEval-2020 Task 11: Conv1D and Word Embedding in Propaganda Span Identification at News Articles
Dimas Sony Dewantara, Indra Budi, Muhammad Okky Ibrohim
BPGC at SemEval-2020 Task 11: Propaganda Detection in News Articles with Multi-Granularity Knowledge Sharing and Linguistic Features Based Ensemble Learning
Rajaswa Patil, Somesh Singh, Swati Agarwal