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Natural Language Processing

2127 directly classified papers

Papers per year

Papers

Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification EMNLP 2019
Cross-Cultural Transfer Learning for Text Classification EMNLP 2019
TalkDown: A Corpus for Condescension Detection in Context EMNLP 2019
QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization EMNLP 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference ACL 2019
Evaluating adversarial attacks against multiple fact verification systems EMNLP 2019
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions EMNLP 2019
Modeling Frames in Argumentation EMNLP 2019
Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog EMNLP 2019
Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders EMNLP 2019
Towards Making a Dependency Parser See EMNLP 2019
Grounding learning of modifier dynamics: An application to color naming EMNLP 2019
Retrofitting Contextualized Word Embeddings with Paraphrases EMNLP 2019
Transforming Complex Sentences into a Semantic Hierarchy ACL 2019
Unraveling Antonym’s Word Vectors through a Siamese-like Network ACL 2019
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks EMNLP 2019
Robust Text Classifier on Test-Time Budgets EMNLP 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets EMNLP 2019
Effective Use of Transformer Networks for Entity Tracking EMNLP 2019
Robust Representation Learning of Biomedical Names ACL 2019
Neural Cross-Lingual Event Detection with Minimal Parallel Resources EMNLP 2019
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction EMNLP 2019
Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations EMNLP 2019
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation EMNLP 2019
Is Word Segmentation Necessary for Deep Learning of Chinese Representations? ACL 2019