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
1
3
5
2
2
11
15
14
20
9
14
19
30
19
23
211
782
1,414
1,881
2,484
2,544
2,994
3,125
3,979
4,938
1,576
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Learning from Relatives: Unified Dialectal Arabic Segmentation
CoNLL 2017
Learning Language Representations for Typology Prediction
EMNLP 2017
Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text
CoNLL 2017
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext
EMNLP 2017
Learning Semantic Correspondences in Technical Documentation
ACL 2017
Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits
CoNLL 2017
Learning Structured Natural Language Representations for Semantic Parsing
ACL 2017
Learning to Ask: Neural Question Generation for Reading Comprehension
ACL 2017
Learning to Generate Product Reviews from Attributes
EACL 2017
Learning to Parse and Translate Improves Neural Machine Translation
ACL 2017
Learning to Predict Denotational Probabilities For Modeling Entailment
EACL 2017
Learning to Rank Semantic Coherence for Topic Segmentation
EMNLP 2017
Learning to Skim Text
ACL 2017
Learning to Translate in Real-time with Neural Machine Translation
EACL 2017
Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks
IJCNLP 2017
Learning Translations via Matrix Completion
EMNLP 2017
Learning What is Essential in Questions
CoNLL 2017
Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers
EMNLP 2017
Learning what to read: Focused machine reading
EMNLP 2017
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix
ACL 2017
Learning Word Relatedness over Time
EMNLP 2017
Legal NERC with ontologies, Wikipedia and curriculum learning
EACL 2017
Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness
IJCNLP 2017
Leveraging Auxiliary Tasks for Document-Level Cross-Domain Sentiment Classification
IJCNLP 2017
Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter
ACL 2017