Which word makes you feel more negative? “Nausea” or “corpse”

In the field of emotional language research, emotional words have always been the main stimulus for researchers to explore the cognitive mechanisms underlying emotional language processing. In previous studies, most of the emotion-label words (e.g., nausea) and emotion-laden words (e.g., corpse) were collectively referred to as emotion words without distinguishing between the two categories. The main purpose of this study was to explore the emotion effect and cognitive processing mechanism between emotion-label word and emotion-laden word, including two experiments. In experiment 1, An Affective Simon Task was administered to explore the emotion effects of two valence (positive and negative) emotion-label words and emotion-laden words. The results showed that the emotion-label words, regardless of the valence, induced significant Simon effects, while the emotion-laden words only showed Simon effects on the negative valence, which initially proved that the two types of words had different emotional effect. Experiment 2 further explored the cognitive processing mechanism of emotion-label words and emotion-laden words by employing event-related potential (ERP) technology. The ERP data revealed that (1) regardless of the valence, emotion-label words were elicited larger P100 than emotion-laden words and mainly appear in the left posterior sites, (2) regardless of the valence, emotion-laden words elicited larger N170 than emotion-label words, and there was no hemispheric difference, (3) regardless of the valence, emotion-label word and emotion-laden words elicited in similar Late Positivity Complex (LPC) in central sites. According to the current findings, emotion-label words and emotion-laden words had significant differences in emotion effect and cognitive processing. The emotional information in emotion-label words was perceived earlier, while the emotional information in emotion-laden words had stronger physiological activation.</p

A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction

Emotion-cause pair extraction (ECPE) is an emerging task in emotion cause analysis, which extracts potential emotion-cause pairs from an emotional document. Most recent studies use end-to-end methods to tackle the ECPE task. However, these methods either suffer from a label sparsity problem or fail to model complicated relations between emotions and causes. Furthermore, they all do not consider explicit semantic information of clauses. To this end, we transform the ECPE task into a document-level machine reading comprehension (MRC) task and propose a Multi-turn MRC framework with Rethink mechanism (MM-R). Our framework can model complicated relations between emotions and causes while avoiding generating the pairing matrix (the leading cause of the label sparsity problem). Besides, the multi-turn structure can fuse explicit semantic information flow between emotions and causes. Extensive experiments on the benchmark emotion cause corpus demonstrate the effectiveness of our proposed framework, which outperforms existing state-of-the-art methods.Comment: Accepted to COLING 202

Fabrication and magnetic properties of granular Co/porous InP nanocomposite materials

A novel Co/InP magnetic semiconductor nanocomposite was fabricated by electrodeposition magnetic Co nanoparticles into n-type porous InP templates in ethanol solution of cobalt chloride. The content or particle size of Co particles embedded in porous InP increased with increasing deposition time. Co particles had uniform distribution over pore sidewall surface of InP template, which was different from that of ceramic template and may open up new branch of fabrication of nanocomposites. The magnetism of such Co/InP nanocomposites can be gradually tuned from diamagnetism to ferromagnetism by increasing the deposition time of Co. Magnetic anisotropy of this Co/InP nanocomposite with magnetization easy axis along the axis of InP square channel was well realized by the competition between shape anisotropy and magnetocrystalline anisotropy. Such Co/InP nanocomposites with adjustable magnetism may have potential applications in future in the field of spin electronics