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Applications

26,116 papers (87 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Text Classification (6,339) Machine Translation (4,668) Question Answering (4,039) Information Extraction (3,097) Sentiment Analysis (2,534) Information Retrieval (2,392) Natural Language Inference (1,417) Fact-Checking (931) Machine Reading Comprehension (891) Natural Language Understanding (699) Intent Classification (500) Text Processing (427) Semantic Parsing (408) Visual Question Answering (238) Relation Extraction (222) Argument Mining (173) Topic Modeling (169) Document Analysis (133) Natural Language Generation (112) Evaluation (103) Text Simplification (87) Word Sense Disambiguation (85) Clinical NLP (84) Entity Linking (76) Speech Recognition (75) Quality Estimation (67) Image Captioning (66) Code Generation (59) Emotion Recognition (54) Natural Language Processing (46) Spoken Language Understanding (46) Sequence Labeling (45) Slot Filling (43) Emotion Detection (40) Grammatical Error Correction (29) Question Generation (28) Legal NLP (28) Text Recognition (26) Video Captioning (26) Text Mining (23) Emotion Analysis (23) Reading Comprehension (20) Stance Detection (18) Event Extraction (13) Opinion Mining (11) Semantic Role Labeling (7)

Papers per year

1
2
9
23
2,484
4,938
2000
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Papers (including subtopics)

Learning to Classify Events from Human Needs Category Descriptions EMNLP 2020 Learning to Classify Intents and Slot Labels Given a Handful of Examples ACL 2020 Learning to Classify the Wrong Answers for Multiple Choice Question Answering (Student Abstract) AAAI 2020 Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models AAAI 2020 Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling ACL 2020 Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering EMNLP 2020 Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task EMNLP 2020 Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering EMNLP 2020 Learning to Faithfully Rationalize by Construction ACL 2020 Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks COLING 2020 Learning to ground medical text in a 3D human atlas CoNLL 2020 Learning to Identify Follow-Up Questions in Conversational Question Answering ACL 2020 Learning to Map Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing AAAI 2020 Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction COLING 2020 Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation ACL 2020 Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation EMNLP 2020 Learning to Understand Child-directed and Adult-directed Speech ACL 2020 Learning VAE-LDA Models with Rounded Reparameterization Trick EMNLP 2020 Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers EMNLP 2020 Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context ACL 2020 Learn to Combine Linguistic and Symbolic Information for Table-based Fact Verification COLING 2020 Lee at SemEval-2020 Task 12: A BERT Model Based on the Maximum Self-ensemble Strategy for Identifying Offensive Language SemEval 2020 LEGAL-BERT: The Muppets straight out of Law School EMNLP 2020 Less is More: Attention Supervision with Counterfactuals for Text Classification EMNLP 2020 Let’s Stop Incorrect Comparisons in End-to-end Relation Extraction! EMNLP 2020