Approach to Semantic Representation of Negation | In this Section, we outline how to incorporate negation into semantic relations . |
Approach to Semantic Representation of Negation | 4.1 Semantic Relations |
Approach to Semantic Representation of Negation | Semantic relations capture connections between concepts and label them according to their nature. |
Introduction | Substantial progress has been made, though, especially on detection of semantic relations , ontologies and reasoning methods. |
Introduction | Negation has been largely ignored within the area of semantic relations . |
Introduction | RE has been frequently studied over the last few years as a supervised learning task, learning from spans of text that are annotated with a set of semantic relations of interest. |
Syntactico-Semantic Structures | These four structures cover 80% of the mention pairs having valid semantic relations (we give the detailed breakdown in Section 7) and we show that they are relatively easy to identify using simple rules or patterns. |
Syntactico-Semantic Structures | Preposition indicates that the two mentions are semantically related via the existence of a preposition, e.g. |
Rethinking Word Difficulty | The dimensionality reduction has the effect of smoothing out incidental co-occurrences and preserving significant semantic relationships between words. |
Rethinking Word Difficulty | The resulting word vectors2 in U are positioned in such a way that semantically related words vectors point in similar directions or, equivalently, have higher cosine values between them. |
Rethinking Word Difficulty | In addition to merely measuring semantic relatedness , LSA has been shown to emulate the learning of word meanings from natural language (as can be evidenced by a broad range of applications from synonym tests to automated essay grading), at rates that resemble those of human learners (Laundauer et al, 1997). |