The Emotions of Abstract Words: A Distributional Semantic Analysis

@article{Lenci2018TheEO,
  title={The Emotions of Abstract Words: A Distributional Semantic Analysis},
  author={Alessandro Lenci and Gianluca E. Lebani and Lucia C. Passaro},
  journal={Topics in cognitive science},
  year={2018},
  volume={10 3},
  pages={
          550-572
        }
}
Recent psycholinguistic and neuroscientific research has emphasized the crucial role of emotions for abstract words, which would be grounded by affective experience, instead of a sensorimotor one. The hypothesis of affective embodiment has been proposed as an alternative to the idea that abstract words are linguistically coded and that linguistic processing plays a key role in their acquisition and processing. In this paper, we use distributional semantic models to explore the complex interplay… 
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References

SHOWING 1-10 OF 53 REFERENCES
The neural representation of abstract words: the role of emotion.
TLDR
A functional magnetic resonance imaging experiment is reported that shows greater engagement of the rostral anterior cingulate cortex, an area associated with emotion processing, supporting the view that engagement of emotional processing is generally required for processing abstract words.
The representation of abstract words: why emotion matters.
TLDR
It is found that abstract words are more emotionally valenced than are concrete words, and this accounts for a residual latency advantage for abstract words, when variables such as imageability and rated context availability are held constant.
How does emotional content affect lexical processing?
TLDR
It is suggested that emotional connotations facilitate processing due to the grounding of words' meanings in emotional experience, and that emotional words, whether positive or negative, are processed faster than neutral words.
Clustering, hierarchical organization, and the topography of abstract and concrete nouns
TLDR
This work investigated word meaning as distributed in multidimensional space using hierarchical cluster analysis and found that abstract and concrete words showed overlap in their topography but also differentiated themselves in semantic space.
Abstract and Concrete Sentences, Embodiment, and Languages
TLDR
It is argued it is necessary to take into account not only the fact that language is grounded in the sensorimotor system, but also that language represents a linguistic–social experience.
Grasping the invisible: Semantic processing of abstract words
TLDR
The results showed that the semantic richness variables were significantly related to both LDT and SCT latencies, even after lexical and orthographic factors were controlled.
Abstract and concrete concepts have structurally different representational frameworks.
TLDR
This work reports the first evidence that abstract and concrete word meanings are based in representational systems that have qualitatively different properties, and shows that abstract concepts, but not concrete concepts, are represented in an associative neural network.
Redundancy in Perceptual and Linguistic Experience: Comparing Feature-Based and Distributional Models of Semantic Representation
TLDR
It is argued that the amount of perceptual and other semantic information that can be learned from purely distributional statistics has been underappreciated and that future focus should be on understanding the cognitive mechanisms humans use to integrate the two sources.
Reproducing affective norms with lexical co-occurrence statistics: Predicting valence, arousal, and dominance
TLDR
This paper investigated whether affective ratings can be predicted from length, contextual diversity, co-occurrences with words of known valence, and orthographic similarity to words of Known Valence, providing an algorithm for estimating Affective ratings for larger and different datasets.
Thinking in Words: Language as an Embodied Medium of Thought
TLDR
This essay defends a version of the cognitive enhancement thesis that integrates and builds on the proposals of embodied cognition and argues that the embodied representations associated with language processing serve as a supplementary medium for conceptual processing.
...
1
2
3
4
5
...