Arts and Humanities
Corpus
94%
Genre
67%
Stylometrics
49%
Syntactic features
46%
Literariness
46%
Literary language
44%
Literature
39%
Contemporary
33%
Distant reading
29%
Literary Prizes
29%
Framework
29%
Intrinsic
29%
Canonicity
29%
Coreference
29%
Linguistics
27%
Literary text
25%
Sentiment Analysis
25%
Riddle
23%
Dutch Language
23%
Stylistics
22%
Narrative
22%
parsers
22%
genre fiction
21%
Writing style
19%
Dutch Literature
18%
Application
18%
Gender Inequality
17%
Chunk
17%
Value judgments
16%
Physical Appearance
14%
Sentiment
14%
Attic
14%
Semantic Function
14%
Essentialism
14%
Automatic Translation
14%
Direct speech
14%
Lexical
14%
Antonymy
14%
Antonyms
14%
Literary Taste
14%
Stereotypes
14%
Descriptive
14%
Character test
14%
Films
14%
Target Audience
14%
Blue
14%
Psycholinguistics
14%
Contrastive
14%
Hebrew Bible
14%
Language use
14%
Keyphrases
Dutch
70%
Literary Prizes
37%
Literary Novel
29%
Text Features
29%
Gender Bias
29%
Distant Reading
29%
Genre Fiction
21%
Parsing
19%
Treebank
19%
Classification Model
19%
Literariness
19%
English Novel
19%
Rewriting System
18%
Gender Equality
17%
Author Gender
17%
Unsupervised Aspect Extraction
14%
Aspect Extraction
14%
Aspect Identification
14%
Discriminating Features
14%
Quote Attribution
14%
Annotation Framework
14%
Gender Attribution
14%
Regression Model
14%
Text Categorization
14%
Predictive Machine Learning
14%
Human Ratings
14%
Machine Learning Models
14%
Mildly Context-sensitive Grammars
14%
Timetree
14%
Phrase Extraction
14%
Esperanto
14%
Multiword Expressions
14%
Mildly Context-sensitive
14%
Recurring
14%
Fragment Grammars
14%
Fine-grained Semantic
14%
Literary Text
14%
Confounding Factors
14%
Association Measures
14%
Bigram
14%
Blue Eyes
14%
Supertagging
14%
Chick Lit
14%
Literary Language
14%
Light Novel
14%
Stephen King
14%
Wide Context
14%
Hybrid Rules
14%
Data Context
14%
Machine Translation
14%
Computer Science
Parsing
100%
Annotation
82%
Syntactics
47%
Textual Feature
42%
Kernel Method
37%
Machine Learning
34%
Authorship Attribution
29%
Word Embedding
22%
Substitution Tree
17%
Physical Appearance
14%
Sufficient Data
14%
Project Gutenberg
14%
Singletons
14%
Development Task
14%
Attribution Performance
14%
Good Performance
14%
Deep Learning
14%
Semantic Function
14%
Learning Systems
14%
Performing System
14%
Unsupervised Method
14%
Attention (Machine Learning)
14%
Radial Basis Function
14%
Sentiment Analysis
14%
Bidirectional Encoder Representations From Transformers
14%
Effective Method
14%
Classification Problem
14%
Parse Tree
14%
Machine Translation
14%
Graph-Based Representation
14%
Parts Of Speech Tagging
11%
Training Data
10%
Context Sensitive Grammars
10%
Relative Strength
7%
Quality Rating
7%
Quality Project
7%
Social Media
7%
Table Lookup
7%
Regular Expression
7%
Domain Adaptation
7%
Validated Accuracy
7%
Translation System
5%
Computational Complexity
5%
