Monografie
Separating Brands from Types: an Investigation of Different Features for the Food Domain
- Language
-
Englisch
- Identifier
-
117977521X
Subject
Computerlinguistik; Natürliche Sprache; Information Extraction; Maschinelles Lernen; Lebensmittel
Contributor
Wiegand, Michael
Klakow, Dietrich
Klakow, Dietrich
- URN
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
26.01.2023, 1:52 PM CET
Object type
- Monografie
Associated
- Wiegand, Michael
- Klakow, Dietrich
Other Objects (12)
Towards Contextual Healthiness Classification of Food Items - A Linguistic Approach
Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction
Bootstrapping Supervised Machine-learning Polarity Classifiers with Rule-based Classification
Convolution Kernels for Opinion Holder Extraction
The Role of Predicates in Opinion Holder Extraction
Detecting conditional healthiness of food items from natural language text
Towards the Detection of Reliable Food-Health Relationships
Predicate Acquisition for Opinion Holder Extraction : A Data-Intensive Approach
Bootstrapping polarity classifiers with rule-based classification
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction
Data-driven Knowledge Extraction for the Food Domain
A Survey on Hate Speech Detection using Natural Language Processing
Towards Contextual Healthiness Classification of Food Items - A Linguistic Approach
Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction
Bootstrapping Supervised Machine-learning Polarity Classifiers with Rule-based Classification
Convolution Kernels for Opinion Holder Extraction
The Role of Predicates in Opinion Holder Extraction
Detecting conditional healthiness of food items from natural language text
Towards the Detection of Reliable Food-Health Relationships
Predicate Acquisition for Opinion Holder Extraction : A Data-Intensive Approach
Bootstrapping polarity classifiers with rule-based classification
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction
Data-driven Knowledge Extraction for the Food Domain
A Survey on Hate Speech Detection using Natural Language Processing
Towards Contextual Healthiness Classification of Food Items - A Linguistic Approach
Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction
Bootstrapping Supervised Machine-learning Polarity Classifiers with Rule-based Classification
Convolution Kernels for Opinion Holder Extraction
The Role of Predicates in Opinion Holder Extraction
Detecting conditional healthiness of food items from natural language text
Towards the Detection of Reliable Food-Health Relationships
Predicate Acquisition for Opinion Holder Extraction : A Data-Intensive Approach
Bootstrapping polarity classifiers with rule-based classification
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction
Data-driven Knowledge Extraction for the Food Domain