Semantic Text Parsing Task
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A Semantic Text Parsing Task is a semantic parsing task that is a natural language understanding task.
- Context:
- Input: Text Artifact.
- output: Semantic Representation.
- It can be solved by a Natural Language Semantic Parsing System (that implements a Natural Language Semantic Parsing Algorithm.
- It can range from being a Shallow Semantic Parsing of Text Task to being a Deep Semantic Parsing from Text Task.
- It can support: Textual Relation Extraction, ...
- …
- Example(s):
- Shallow Semantic Text Parsing, such as:
- Propositional Semantic Parsing Tasks, such as:
- Semantic Role Labeling, which involves identifying the roles of entities in a sentence.
- Named Entity Recognition, which involves identifying and classifying named entities in text.
- Extra-Propositional Semantic Parsing Tasks, such as:
- Sentiment Analysis, which involves determining the sentiment or emotional tone behind a series of words.
- Opinion Mining, which involves extracting subjective information, like opinions or attitudes, from text.
- ...
- Propositional Semantic Parsing Tasks, such as:
- Deep Semantic Text Parsing, such as:
- Open Information Extraction, which involves extracting structured information from unstructured text without a pre-defined schema.
- Semantic Dependency Parsing, which involves identifying the dependency relationships between words in a sentence to understand its semantic structure.
- ...
- Domain-Specific Deep Semantic Text Parsing, such as:
- Clinical Text Parsing, such as extracting patient information from medical records.
- Legal Document Parsing, such as extracting and interpreting legal terms and conditions.
- ...
- Shallow Semantic Text Parsing, such as:
- Counter-Example(s):
- See: Natural Language Comprehension Task, Machine Reading, Information Extraction from Text.