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Natural Language Processing

47,076 papers (54 classified directly here)

Subtopics

Applications (26,986) Resources & Methods (16,283) Generation (11,966) Understanding (7,071)

Papers per year

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Papers (including subtopics)

AUEB at BioASQ 6: Document and Snippet Retrieval EMNLP 2018
MindLab Neural Network Approach at BioASQ 6B EMNLP 2018
AttentionMeSH: Simple, Effective and Interpretable Automatic MeSH Indexer EMNLP 2018
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions EMNLP 2018
UNCC QA: Biomedical Question Answering system EMNLP 2018
An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans. EMNLP 2018
Ontology-Based Retrieval & Neural Approaches for BioASQ Ideal Answer Generation EMNLP 2018
The IWSLT 2018 Evaluation Campaign EMNLP 2018
Unsupervised Parallel Sentence Extraction from Comparable Corpora EMNLP 2018
Word Rewarding for Adequate Neural Machine Translation EMNLP 2018
Analyzing Knowledge Distillation in Neural Machine Translation EMNLP 2018
Word-based Domain Adaptation for Neural Machine Translation EMNLP 2018
A Machine Translation Approach for Modernizing Historical Documents Using Backtranslation EMNLP 2018
Multi-Source Neural Machine Translation with Data Augmentation EMNLP 2018
Transfer Learning in Multilingual Neural Machine Translation with Dynamic Vocabulary EMNLP 2018
Machine Translation Human Evaluation: an investigation of evaluation based on Post-Editing and its relation with Direct Assessment EMNLP 2018
The USTC-NEL Speech Translation system at IWSLT 2018 EMNLP 2018
The ADAPT System Description for the IWSLT 2018 Basque to English Translation Task EMNLP 2018
The University of Helsinki submissions to the IWSLT 2018 low-resource translation task EMNLP 2018
The MeMAD Submission to the IWSLT 2018 Speech Translation Task EMNLP 2018
Prompsit’s Submission to the IWSLT 2018 Low Resource Machine Translation Task EMNLP 2018
Neural Speech Translation at AppTek EMNLP 2018
The Sogou-TIIC Speech Translation System for IWSLT 2018 EMNLP 2018
Samsung and University of Edinburgh’s System for the IWSLT 2018 Low Resource MT Task EMNLP 2018
The AFRL IWSLT 2018 Systems: What Worked, What Didn’t EMNLP 2018