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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7 8...47 Hits 61 – 80 of 922 61 Incorporating medical knowledge in BERT for clinical relation extraction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Pan, Shimei; Roy, Arpita. - : Underline Science Inc., 2021 BASE Show details 62 Crosslingual Transfer Learning for Relation and Event Extraction via Word Category and Class Alignments ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Min, Bonan; Nguyen, Thien Huu. - : Underline Science Inc., 2021 BASE Show details 63 ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Han, Rujun; Peng, Nanyun. - : Underline Science Inc., 2021 BASE Show details 64 A Partition Filter Network for Joint Entity and Relation Extraction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Fu, Jinlan; Wei, Zhongyu. - : Underline Science Inc., 2021 BASE Show details 65 #WhyDidTheyStay: An NLP-driven approach to analyzing the factors that affect domestic violence victims ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Sai Kavya, Marthala; Singh, Smriti. - : Underline Science Inc., 2021 BASE Show details 66 Learning Prototype Representations Across Few-Shot Tasks for Event Detection ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Dernoncourt, Franck; Lai, Viet. - : Underline Science Inc., 2021 BASE Show details 67 Uncovering Main Causalities for Long-tailed Information Extraction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Guo, Zhijiang; Lu, Wei. - : Underline Science Inc., 2021 BASE Show details 68 Transformer Feed-Forward Layers Are Key-Value Memories ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Berant, Jonathan; Geva, Mor. - : Underline Science Inc., 2021 BASE Show details 69 Fine-grained Entity Typing via Label Reasoning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; liu, qing. - : Underline Science Inc., 2021 BASE Show details 70 Machine Reading Comprehension as Data Augmentation: A Case Study on Implicit Event Argument Extraction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Liu, Jian. - : Underline Science Inc., 2021 BASE Show details 71 A Relation-Oriented Clustering Method for Open Relation Extraction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Zhao, Jun. - : Underline Science Inc., 2021 BASE Show details 72 Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Han, Zhen; Ma, Yunpu. - : Underline Science Inc., 2021 BASE Show details 73 MasakhaNER: Named Entity Recognition for African Languages ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Adelani, David. - : Underline Science Inc., 2021 BASE Show details 74 The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cho, Kyunghyun; Han, Jiawei. - : Underline Science Inc., 2021 BASE Show details 75 Team Papelo at FEVEROUS: Multi-hop Evidence Pursuit ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Malon, Christopher. - : Underline Science Inc., 2021 BASE Show details 76 Unsupervised Relation Extraction: A Variational Autoencoder Approach ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Eldardiry, Hoda; Yuan, Chenhan. - : Underline Science Inc., 2021 BASE Show details 77 Instance-adaptive training with noise-robust losses against noisy labels ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Jin, Lifeng. - : Underline Science Inc., 2021 BASE Show details 78 Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hu, Xuming; Li, Xiaohe. - : Underline Science Inc., 2021 BASE Show details 79 Extracting Material Property Measurement Data from Scientific Articles ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Panapitiya, Gihan; Parks, Fred. - : Underline Science Inc., 2021 BASE Show details 80 Mutual-Learning Improves End-to-End Speech Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Zhao, Jiawei. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.325/ Abstract: A currently popular research area in end-to-end speech translation is the use of knowledge distillation from a machine translation~(MT) task to improve the speech translation~(ST) task. However, such scenario obviously allows only a one way transfer, limiting the overall effectiveness of the approach by the performance of the pre-trained teacher model. Therefore, we pose that in this respect knowledge distillation-based approaches are sub-optimal. We propose an alternative---a trainable mutual-learning scenario, where the MT and ST models are collaboratively trained and are considered as peers, rather than teacher/student. This allows us to improve the performance of end-to-end ST more effectively than with a teacher-student paradigm. As a side benefit, performance of the MT model also improves. ... Keyword: Computational Linguistics; Information Extraction; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/0g4n-pd02 https://underline.io/lecture/37543-mutual-learning-improves-end-to-end-speech-translation BASE Hide details Page: 1 2 3 4 5 6 7 8...47

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