conftrace_

pretrained word embedding

10 papers

Explore in graph

Co-occurring keywords · papers mentioning both

neural machine translation (3) low-resource language (2) text classification (2) semi-supervised learning (2) behavior trajectory (1) transformer-based language model (1) handcrafted feature (1) layer-wise relevance propagation (1) relevance score (1) transformer model (1)

Papers

Enhancing Interpretable Clauses Semantically using Pretrained Word Representation EMNLP 2021 Neural Machine Translation for Tamil–Telugu Pair EMNLP 2021 Revisiting Tri-training of Dependency Parsers EMNLP 2021 UPB at SemEval-2021 Task 1: Combining Deep Learning and Hand-Crafted Features for Lexical Complexity Prediction SemEval 2021 Learning Emotion from 100 Observations: Unexpected Robustness of Deep Learning under Strong Data Limitations COLING 2020 Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings EMNLP 2019 Multimodal Machine Translation with Embedding Prediction NAACL 2019 Refining Pretrained Word Embeddings Using Layer-wise Relevance Propagation EMNLP 2018 When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation? NAACL 2018 Couples Behavior Modeling and Annotation Using Low-Resource LSTM Language Models Interspeech 2016