Emotion lexicons are useful in research across various disciplines, but the availability of such resources remains limited for most languages. While existing emotion lexicons typically comprise ...words, it is a particular meaning of a word (rather than the word itself) that conveys emotion. To mitigate this issue, we present the Emotion Meanings dataset, a novel dataset of 6000 Polish word meanings. The word meanings are derived from the Polish wordnet (plWordNet), a large semantic network interlinking words by means of lexical and conceptual relations. The word meanings were manually rated for valence and arousal, along with a variety of basic emotion categories (anger, disgust, fear, sadness, anticipation, happiness, surprise, and trust). The annotations were found to be highly reliable, as demonstrated by the similarity between data collected in two independent samples:
unsupervised
(
n
= 21,317) and
supervised
(
n
= 561). Although we found the annotations to be relatively stable for female, male, younger, and older participants, we share both summary data and individual data to enable emotion research on different demographically specific subgroups. The word meanings are further accompanied by the relevant metadata, derived from open-source linguistic resources. Direct mapping to Princeton WordNet makes the dataset suitable for research on multiple languages. Altogether, this dataset provides a versatile resource that can be employed for emotion research in psychology, cognitive science, psycholinguistics, computational linguistics, and natural language processing.
Interlocutors in a conversation influence each other in a number of dimensions. This process may lead to observable changes in their communicative behaviour. The directions and profiles of these ...changes are often correlated with the quality of interaction and may predict its success. In the present study, the gestural component of communication is scrutinised for changes that may reflect the process of alignment. Two types of task-oriented dialogues between teenagers are recorded and annotated for gestures and their features. We hypothesize that the dialogue task type (collaborative vs. competitive), as well as certain culture-specific properties of alignment that differ between German and Polish pairs, may significantly influence the process of communication. In order to explore the data and detect tendencies in gestural behaviour, automatised annotation mining and statistical exploration have been used, including a moving frame approach aimed at the investigation of co-occurring strokes as well as re-occurring strokes and their features. Significant differences between German and Polish speakers, as well as between the two dialogue types, have been found in the number of gestures, stroke duration and amplitude.
Abstract
Numerous studies on political discourse claim that metaphors help politicians to construct coherent arguments to
convince their voters. Yet, most of them, with a few notable exceptions, do ...not adhere to any theory of argumentation. In this
paper, we integrate
Discourse Dynamic Approach to Metaphor
with
Inference Anchoring Theory
to
enhance our understanding of the interaction of metaphors and arguments in dynamic discourse. Our data come from three
pre-election debates: Two in Poland and one in the US. The focus is on the reform of the health service. We show how discourse
participants co-construct metaphors and arguments in an attempt to achieve their illocutionary goals. Their interaction is curbed
by a number of discursive forces identified in the data. We propose a classification of types of interaction between metaphors and
arguments, which can be further used for developing tools for automatic or semi-automatic identification of these types in large
corpora.
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