An eye-tracking attention based model for abstractive text headline

Online network platforms provide great convenience for users to obtain information. However, it’s challenging to select the required information from enormous texts. Automatic text headline generation methods not only guide users to select the information they are interested in, but also solve the problem of information overload. Nevertheless, the existing works mainly utilize the grammar rules to obtain the key information of the source text, while ignoring the dwell time of user’s attention on different text contents. To address this issue, this paper proposes an abstractive text headline generation model based on the eye-tracking attention mechanism. Specifically, this model first relies on the eye-tracking data to establish the mapping relationship between text words and the words’ reading time. Then, an eye-tracking attention mechanism is constructed to judge the importance of different words. Finally, this attention mechanism is integrated into the encoder-decoder framework to generate a high-quality headline. Experimental results obtained from different datasets demonstrate that the headline generated by our model is more concise. Moreover, our proposed model outperforms significantly the classical headline generation models on ROUGE-1, ROUGE-2 and ROUGE-L.     

社交网站中的自我呈现与青少年网络利他行为:网络社交效能和希望的作用

为考察社交网站中的积极自我呈现、真实自我呈现对青少年网络利他行为的影响以及网络社交效能和希望在其中的中介作用，采用社交网站中的积极自我呈现和真实自我呈现问卷、网络利他行为量表、网络社交效能问卷和希望量表对安徽、福建、河南、湖南、山西、天津、云南等省份八所中学的805名初中二年级学生（男生427名，女生378名；被试平均年龄为13.38岁，SD=0.63）进行问卷调查。研究显示：（1）社交网站中的积极自我呈现和真实自我呈现均能正向预测青少年网络利他行为；（2）网络社交效能在积极自我呈现与青少年的网络利他行为之间起中介作用，也在真实自我呈现与青少年的网络利他行为之间起中介作用；（3）希望在真实自我呈现与青少年的网络利他行为之间起中介作用。     

Explainability of neural networks for child language: Agent-First strategy in comprehension of Korean active transitive construction

This study investigates how neural networks address the properties of children's linguistic knowledge, with a focus on the Agent-First strategy in comprehension of an active transitive construction in Korean. We develop various neural-network models and measure their classification performance on the test stimuli used in a behavioural experiment involving scrambling and omission of sentential components at varying degrees. Results show that, despite some compatibility of these models’ performance with the children's response patterns, their performance does not fully approximate the children's utilisation of this strategy, demonstrating by-model and by-condition asymmetries. This study's findings suggest that neural networks can utilise information about formal co-occurrences to access the intended message to a certain degree, but the outcome of this process may be substantially different from how a child (as a developing processor) engages in comprehension. This implies some limits of neural networks on revealing the developmental trajectories of child language.

Research Highlights

• This study investigates how neural networks address properties of child language.
• We focus on the Agent-First strategy in comprehension of Korean active transitive.
• Results show by-model/condition asymmetries against children's response patterns.
• This implies some limits of neural networks on revealing properties of child language.

     

Group cohesiveness in children free-play activity: A social network analysis

Despite the ethnic diversity and presence of Amerindian communities in all Brazilian states, the indigenous population suffers from a long process of invisibility and stereotyping. Aiming to increase interethnic associations, together with Mbya-Guarani leaders we promoted interventions in which indigenous and non-indigenous children shared free playtime. We hypothesised that free play activity would stimulate group cohesiveness, mitigating ethnic group avoidance in children's playgroups. Twenty-one Mbya-Guarani and 61 non-indigenous children participated in two “Encounters for Play.” We recorded children's social interactions during the free playtimes. We selected the first and last 10 minutes of each encounter and performed scans every 30s registering spatial proximity (children who were up to 1 m of each other) and play. Then, we applied Social Network Analysis to explore the children's association pattern at the beginning and end of playtime in each encounter. Our results show free play activity was effective in stimulating group cohesiveness. Children' proximity association pattern and playgroup configuration changed between clips, and there was a significant correlation between both categories' associations. We conclude that the encounters have potential applicability as an intervention to mitigate ethnic group avoidance in children.     

Centrality in children's best friend networks: The role of social behaviour

Centrality is an indicator of an individual's relative importance within a social group. Predictors of centrality in best friendship networks were examined in 146 children (70 boys and 76 girls, M_age = 9.95). Children completed measures of social confidence, social desirability, friendship quality, school liking, and loneliness and nominated their best friends from within their class at two time points, 3 months apart. Multigroup path analysis revealed gender differences in the antecedents of centrality. Social confidence, social desirability, and friendship quality predicted changes in the indicators of centrality in best friend networks over time. Boys' social behaviour positively predicted changes in centrality, whereas girls' social behaviour negatively predicted changes in centrality. Together, these findings suggest that some aspects of social behaviour are influential for centrality in best friend groups.     

汉字部件与英文字母相容性的数学模型──一种群体模板相容性的数学表达

该文运用相容性研究中的维度重叠模型以及Ｆｏｒｋ－Ｊｏｉｎ网络模型，得出群体模板的相容性定义与Ｓ－Ｒ相容性的元素匹配之间的关系式，详细讨论了汉字编码输入法研究中的学习遍数、反应时与汉字部件－英文字母相容性的关系，理论模拟与实验结果所显示的趋势符合。     

The minimal self hypothesis

For millennia self has been conjectured to be necessary for consciousness. But scant empirical evidence has been adduced to support this hypothesis. Inconsistent explications of “self” and failure to design apt experiments have impeded progress. Advocates of phenomenological psychiatry, however, have helped explicate “self,” and employed it to explain some psychopathological symptoms. In those studies, “self” is understood in a minimalist sense, sheer “for-me-ness.” Unfortunately, explication of the “minimal self” (MS) has relied on conceptual analysis, and applications to psychopathology have been hermeneutic, allowing for many degrees of interpretive latitude. The result is that MS’s current scientific status is analogous to that of the “atom,” at the time when “atom” was just beginning to undergo transformation from a philosophical to a scientific concept. Fortunately, there is now an opportunity to promote a similar transformation for “MS.” Discovery of the brain’s Default Mode Network (DMN) opened the door to neuroimaging investigations of self. Taking the DMN and other forms of intrinsic activity as a starting point, an empirical foothold can be established, one that spurs experimental research and that enables extension of research into multiple phenomena. New experimental protocols that posit “MS” can help explain phenomena hitherto not thought to be related to self, thereby hastening development of a mature science of self. In particular, targeting phenomena wherein consciousness is lost and recovered, as in some cases of Unresponsive Wakefulness Syndrome (UWS), allow for design of neuroimaging probes that enable detection of MS during non-conscious states. These probes, as well as other experimental protocols applied to NREM Sleep, General Anesthesia (GA), and the waking state, provide some evidence to suggest that not only can self and consciousness dissociate, MS might be a necessary precondition for conscious experience. Finally, these findings have implications for the science of consciousness: it has been suggested that “levels of consciousness” (LoC) is not a legitimate concept for the science of consciousness. But because we have the conceptual and methodological tools with which to refine investigations of MS, we have the means to identify a possible foundation—a bifurcation point—for consciousness, as well as the means by which to measure degrees of distance from that foundation. These neuroimaging investigations of MS position us to better assess whether LoC has a role to play in a mature science of consciousness.