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Transformers

9294 directly classified papers

Papers per year

Papers

Clause-Wise and Recursive Decoding for Complex and Cross-Domain Text-to-SQL Generation EMNLP 2019
Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text EMNLP 2019
Transformer Dissection: An Unified Understanding for Transformer’s Attention via the Lens of Kernel EMNLP 2019
Revealing the Dark Secrets of BERT EMNLP 2019
Jointly Learning to Align and Translate with Transformer Models EMNLP 2019
Cloze-driven Pretraining of Self-attention Networks EMNLP 2019
Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing EMNLP 2019
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering EMNLP 2019
Joey NMT: A Minimalist NMT Toolkit for Novices EMNLP 2019
Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations EMNLP 2019
A Deep Learning-Based System for PharmaCoNER EMNLP 2019
UZH@CRAFT-ST: a Sequence-labeling Approach to Concept Recognition EMNLP 2019
Recycling a Pre-trained BERT Encoder for Neural Machine Translation EMNLP 2019
Enhanced Transformer Model for Data-to-Text Generation EMNLP 2019
Big Bidirectional Insertion Representations for Documents EMNLP 2019
Mixed Multi-Head Self-Attention for Neural Machine Translation EMNLP 2019
Long Warm-up and Self-Training: Training Strategies of NICT-2 NMT System at WAT-2019 EMNLP 2019
Supervised neural machine translation based on data augmentation and improved training & inference process EMNLP 2019
Our Neural Machine Translation Systems for WAT 2019 EMNLP 2019
NLPRL at WAT2019: Transformer-based Tamil – English Indic Task Neural Machine Translation System EMNLP 2019
SYSTRAN @ WAT 2019: Russian-Japanese News Commentary task EMNLP 2019
Do Multi-hop Readers Dream of Reasoning Chains? EMNLP 2019
Extractive NarrativeQA with Heuristic Pre-Training EMNLP 2019
Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs IJCNLP 2019
Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension EMNLP 2019