- Language
-
Englisch
- Identifier
-
1178422321
Subject
Computerlinguistik; Information Extraction; Meinung; Natürliche Sprache; Maschinelles Lernen
Contributor
Wiegand, Michael
Klakow, Dietrich
Klakow, Dietrich
- URN
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
26.01.2023, 1:55 PM CET
Object type
- Monografie
Associated
- Wiegand, Michael
- Klakow, Dietrich
Other Objects (12)
Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction
The Role of Predicates in Opinion Holder Extraction
Bootstrapping Supervised Machine-learning Polarity Classifiers with Rule-based Classification
Towards Contextual Healthiness Classification of Food Items - A Linguistic Approach
Separating Brands from Types: an Investigation of Different Features for the Food Domain
Detecting conditional healthiness of food items from natural language text
Predicate Acquisition for Opinion Holder Extraction : A Data-Intensive Approach
Towards the Detection of Reliable Food-Health Relationships
Bootstrapping polarity classifiers with rule-based classification
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction
Convolution Kernels for Subjectivity Detection
A Survey on Hate Speech Detection using Natural Language Processing
Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction
The Role of Predicates in Opinion Holder Extraction
Bootstrapping Supervised Machine-learning Polarity Classifiers with Rule-based Classification
Towards Contextual Healthiness Classification of Food Items - A Linguistic Approach
Separating Brands from Types: an Investigation of Different Features for the Food Domain
Detecting conditional healthiness of food items from natural language text
Predicate Acquisition for Opinion Holder Extraction : A Data-Intensive Approach
Towards the Detection of Reliable Food-Health Relationships
Bootstrapping polarity classifiers with rule-based classification
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction
Convolution Kernels for Subjectivity Detection
A Survey on Hate Speech Detection using Natural Language Processing
Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction
The Role of Predicates in Opinion Holder Extraction
Bootstrapping Supervised Machine-learning Polarity Classifiers with Rule-based Classification
Towards Contextual Healthiness Classification of Food Items - A Linguistic Approach
Separating Brands from Types: an Investigation of Different Features for the Food Domain
Detecting conditional healthiness of food items from natural language text
Predicate Acquisition for Opinion Holder Extraction : A Data-Intensive Approach
Towards the Detection of Reliable Food-Health Relationships
Bootstrapping polarity classifiers with rule-based classification
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction
Convolution Kernels for Subjectivity Detection