Deep Semantic Text Parsing Task

Context:
- Input: Text Artifact.
- output: Deep Semantic Representation.
- It can (typically) involve transforming natural language into a structured, machine-understandable format that captures the deep semantic meaning.
- It can be solved by a Deep Semantic Parsing from Text System implementing a Deep Semantic Parsing from Text Algorithm.
- It can support applications, such as: Information Extraction from Text, Natural Language Comprehension Task, and Machine Reading.
- ...
Example(s):
- Parsing complex queries into logical forms to query databases like Freebase.
- Converting long, intricate sentences into formal representations for deeper understanding.
- parse “Show me flights from Boston to anywhere that has flights to Juneau".
- a Deep Semantic Contract Parsing Task.
- ...
Counter-Example(s):
- Shallow Semantic Parsing of Text Task which focuses on surface-level understanding.
- Deep Syntactic Parsing Task which focuses on the grammatical structure rather than deep meaning.
- Deep Semantic Parsing from Computer Program Task which deals with parsing programming languages.
- Deep Computer Program Semantic Parsing Task.
See: Semantic Analysis, Natural Language Comprehension Task, Machine Reading, Information Extraction from Text, Principle of Compositionality.

References

(Wikipedia, 2024) ⇒ https://en.wikipedia.org/wiki/Semantic_parsing#Deep_Semantic_Parsing Retrieved:2024-1-24.
- Deep semantic parsing, also known as compositional semantic parsing, involves producing precise meaning representations of utterances with significant compositionality. Compositional semantic parsing has been integrated into Large Language Models for solving complex language tasks.

(Berant et al., 2013) ⇒ Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang. (2013). “Semantic Parsing on Freebase from Question-Answer Pairs.” In: Proceedings of EMNLP (EMNLP-2013).
- QUOTE: Semantic parsing involves transforming natural language utterances into logical forms that can be executed to produce denotations, traditionally limited by the need for annotated logical forms and operating in restricted domains.

(Poon & Domingos, 2009) ⇒ Hoifung Poon, and Pedro Domingos. (2009). “Unsupervised Semantic Parsing.” In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP 2009).
- QUOTE: Semantic parsing maps text to formal meaning representations, contrasting with shallow semantic processing forms like semantic role labeling, which do not aim to produce complete formal meanings.