Extra-Propositional Semantic Parsing Task
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A Extra-Propositional Semantic Parsing Task is a shallow semantic parsing task that is an Extra-Propositional Semantic Parsing Task.
- AKA: EPAM.
- …
- Example(s):
- Counter-Example(s):
- See: Semantic Parsing.
References
2015
- https://sites.google.com/site/starsem2015/
- Topics of interest include, but are not limited to: … Extra-propositional aspects of meaning …
2012
- (Morante & Sporleder, 2012) ⇒ Roser Morante, and Caroline Sporleder.. (2012). “Modality and Negation: An Introduction to the Special Issue]." Computational linguistics 38, no. 2
- QUOTE: … Traditionally, most research in NLP has focused on propositional aspects of meaning. To truly understand language, however, extra-propositional aspects are equally important. Modality and negation typically contribute significantly to these extra-propositional meaning aspects. …
- http://www.clips.ua.ac.be/exprom2012/
- QUOTE: … Until recently, research in Natural Language Processing (NLP) has focused predominantly on propositional aspects of meaning. For example, semantic role labeling, question answering or text mining tasks aim at extracting information of the type "who does what, when and where". However, understanding language involves also processing Extra-Propositional Aspects of Meaning (EPAM), such as factuality, uncertainty, or subjectivity, since the same propositional meaning can be presented in a diversity of statements. While some work on phenomena like subjectivity has been carried out in the context of sentiment processing, other phenomena like the detection of sarcasm have received less attention. …
… While the area of EPAM comprises a broad range of phenomena, this workshop will focus mainly on the aspects related to modality understood in a general sense (modalities, hedging, certainty, factuality), negation, attitude, and irony/sarcasm. Since many of these phenomena cannot be adequately modeled without taking (discourse) context into account, the workshop also touches on discourse phenomena in so far as they relate to extra-propositional aspects of meaning.
- QUOTE: … Until recently, research in Natural Language Processing (NLP) has focused predominantly on propositional aspects of meaning. For example, semantic role labeling, question answering or text mining tasks aim at extracting information of the type "who does what, when and where". However, understanding language involves also processing Extra-Propositional Aspects of Meaning (EPAM), such as factuality, uncertainty, or subjectivity, since the same propositional meaning can be presented in a diversity of statements. While some work on phenomena like subjectivity has been carried out in the context of sentiment processing, other phenomena like the detection of sarcasm have received less attention. …