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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

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

Token Drop mechanism for Neural Machine Translation COLING 2020 Token-level Adaptive Training for Neural Machine Translation EMNLP 2020 Token Sequence Labeling vs. Clause Classification for English Emotion Stimulus Detection COLING 2020 TOMODAPI: A Topic Modeling API to Train, Use and Compare Topic Models EMNLP 2020 Topic Balancing with Additive Regularization of Topic Models ACL 2020 Topic-Based Measures of Conversation for Detecting Mild CognitiveImpairment ACL 2020 TopicBERT for Energy Efficient Document Classification EMNLP 2020 Topic Modeling on Document Networks with Adjacent-Encoder AAAI 2020 Top-Rank-Focused Adaptive Vote Collection for the Evaluation of Domain-Specific Semantic Models EMNLP 2020 To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks ACL 2020 TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions EMNLP 2020 To Test Machine Comprehension, Start by Defining Comprehension ACL 2020 Touch Editing: A Flexible One-Time Interaction Approach for Translation AACL 2020 Towards a Better Evaluation of Metrics for Machine Translation EMNLP 2020 Towards a Better Understanding of Label Smoothing in Neural Machine Translation AACL 2020 Towards an ASR Error Robust Spoken Language Understanding System Interspeech 2020 Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract) AAAI 2020 Towards a Task-Agnostic Model of Difficulty Estimation for Supervised Learning Tasks AACL 2020 Towards Augmenting Lexical Resources for Slang and African American English COLING 2020 Towards Better Non-Tree Argument Mining: Proposition-Level Biaffine Parsing with Task-Specific Parameterization ACL 2020 Towards building a Robust Industry-scale Question Answering System COLING 2020 Towards Code-switched Classification Exploiting Constituent Language Resources AACL 2020 Towards End-to-End In-Image Neural Machine Translation EMNLP 2020 Towards Enhancing Faithfulness for Neural Machine Translation EMNLP 2020 Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness? ACL 2020