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A Multi-task Learning Approach for Named Entity Recognition using Local Detection., , and . CoRR, (2019)Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models., , and . EMNLP, page 4725-4730. Association for Computational Linguistics, (2018)Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices., , , , , , , , , and 3 other author(s). ICASSP, page 1-5. IEEE, (2023)Personalization of CTC-based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization., , , , , , , , , and 1 other author(s). CoRR, (2023)The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models., , , , and . ACL (2), page 495-500. The Association for Computer Linguistics, (2015)Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding., , , and . EMNLP, page 310-315. Association for Computational Linguistics, (2017)Acoustic Model Fusion For End-to-End Speech Recognition., , , , , , , , , and 1 other author(s). ASRU, page 1-7. IEEE, (2023)Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices., , , , , , , , , and 3 other author(s). CoRR, (2022)FOFE-based Deep Neural Networks for Entity Discovery and Linking., , , , and . TAC, NIST, (2017)Effective Context and Fragment Feature Usage for Named Entity Recognition., , and . CoRR, (2019)