Monografie
Towards Contextual Healthiness Classification of Food Items - A Linguistic Approach
- Language
-
Englisch
- Identifier
-
1179775392
Subject
Computerlinguistik; Information Extraction; Maschinelles Lernen; Lebensmittel; Natürliche Sprache
Contributor
Wiegand, Michael
Klakow, Dietrich
Klakow, Dietrich
- URN
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
26.01.2023, 1:56 PM CET
Object type
- Monografie
Associated
- Wiegand, Michael
- Klakow, Dietrich
Other Objects (12)
Separating Brands from Types: an Investigation of Different Features for the Food Domain
Bootstrapping Supervised Machine-learning Polarity Classifiers with Rule-based Classification
Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction
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
Bootstrapping polarity classifiers with rule-based classification
Predicate Acquisition for Opinion Holder Extraction : A Data-Intensive Approach
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction
Language Independent Named Entity Recognition using Distant Supervision
A Survey on Hate Speech Detection using Natural Language Processing
Separating Brands from Types: an Investigation of Different Features for the Food Domain
Bootstrapping Supervised Machine-learning Polarity Classifiers with Rule-based Classification
Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction
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
Bootstrapping polarity classifiers with rule-based classification
Predicate Acquisition for Opinion Holder Extraction : A Data-Intensive Approach
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction
Language Independent Named Entity Recognition using Distant Supervision
A Survey on Hate Speech Detection using Natural Language Processing
Separating Brands from Types: an Investigation of Different Features for the Food Domain
Bootstrapping Supervised Machine-learning Polarity Classifiers with Rule-based Classification
Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction
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
Bootstrapping polarity classifiers with rule-based classification
Predicate Acquisition for Opinion Holder Extraction : A Data-Intensive Approach
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction
Language Independent Named Entity Recognition using Distant Supervision