Related Sentences Research Articles

Zero-Shot Relation Classification Through Inference on Category Attributes.

The goal of relationship classification (RC) is to predict the semantic relationship between two entities in a given sentence. With the advent of deep learning and pretrained language models, RC research has progressed by leaps and bounds. However, the current studies are focused mainly on predicting semantic relationships from a predefined set. How to recognize unseen relationships remains a challenge, which is also known as the zero-shot RC (ZSRC) task. Some ZSRC-related methods directly map relationship categories to numerical indices, constraining the model's ability to autonomously infer and understand these relationships, while others rely heavily on manual definitions. To address these issues and inspired by the way of reasoning in which humans perform RC tasks, we propose a new framework to handle the ZSRC task through inference on category attributes (ICAs). The main idea of ICA is to detect the semantic relationship between promises, which are RC sentences, and hypotheses, which are relational sentences of entities created by templates. Specifically, instead of manual design, we introduce two hypothesis templates derived from the label words (LWs) and descriptions (LDs) associated with each relationship. These templates are used to automatically convert the RC data into the textual entailment (TE) format. Furthermore, they are fine-tuned with a pretrained TE model, facilitating the acquisition of relational knowledge and enabling the generalization of semantic reasoning rules learned from seen classes to unseen classes. Moreover, to implement multirelationship semantic inference for all unseen classes, we propose an entailment difference mechanism to enhance the reasoning capability of the model. Besides the current ZSRC test setting, we also examine our method in an even more challenging setting to deal with data scarcity in real-world applications. The outstanding performance of ICA on the FewRel and Wiki-ZSL datasets demonstrates its effectiveness in the ZSRC task.

Comprehension of object relatives in Spanish: the role of frequency and transparency in acquisition and adult grammar

Abstract This study investigates the relative roles of frequency and transparency in native speakers’ comprehension of Spanish object relative sentences by comparing performance with two variants of the construction that differ in these properties. Experiment 1 suggests that seven- to eight-year-old children’s processing of object relative sentences is consistently facilitated by variant frequency and likely relies on separate representations for each variant as two different, although related constructions. Experiment 2 turns to adult comprehension of the two variants, showing similar accuracy and reaction time patterns for both variants for this population. This second outcome could be interpreted as a decrease in frequency effects over time, in line with the power law of practice, as an experience-based increase in the ability to make use of redundant markers, or both.

The many faces of the Liar Paradox

The Liar Paradox is a classic argument that creates a contradiction by reflection on a sentence that attributes falsity to itself: ‘this sentence is false’. In our paper we will discuss the ways in which the Liar sentence (and its paradoxical argument) can be represented in first-order logic. The key to the representation is to use first-order logic to model a self-referential language. We will also discuss several related sentences, like the Liar cycles, the empirical versions of the Liar and the Truth teller sentences.

과학 관련 미래 상상하기 과정에서 나타나는 뇌활동성 분석

We investigated the neural bases of future imagination in science using functional magnetic resonance imaging (fMRI). Participants were 10 science and engineering undergraduate students. Seven of them (70%) received sciencegifted education when they went through primary, middle, or high school, and all participants got good grade in science and engineering class. In the future imagination task, participants were asked to imagine the science relatedfuture based on the sentence. In the control task, participants were asked to read the science related sentence by eye. Analysis showed that future imagination task produced greater brain activation than control task in bilateralparahippocampal gyrus and fusiform gyrus (BA 37), bilateral temporal cortex (BA 39), left superior frontal cortex (BA 6), right prefrontal cortex (BA 46), bilateral cerebellum, and so on. These areas are involved in long term memory, generating visual mental image, integrating sensory information, spatial working memory, self-initiated retrieval and so on. Thus, our result suggest that future imagination process in science involves complex brain network. It could provide the brain scientific explanation for the meaning of the future imagination activities in science gifted education.

Syntactic Analysis of Urdu Case Clitics as Postpositions in Comparison with English Prepositions

The differences between Urdu and English pose many challenges for learners in Pakistan. One of them is the functioning of ‘Urdu case clitics as postpositions in comparison with English prepositions’. ‘Case Theory’ by Chomsky and Lasnik in 1977 has been implemented to qualitatively analyze whether Urdu accusative, dative and instrumental case clitics can function as Urdu postpositions in comparison with English prepositions. The study's major findings demonstrate that Urdu accusative case clitic ‘KO’ as well as Urdu dative case clitic ‘KO’ do not have structural compatibility with the English preposition ‘to’, hence, cannot be determined as Urdu postpositions. However, instrumental ‘se’ case clitics are harmonious to English prepositions to be called Urdu postpositions, for their placement in a sentence in relation to the noun they are modifying. The study also concludes the recommendation of further research to analyze the semantic properties of Urdu case clitics in comparison with English prepositions.

Capturing individual differences in sentence processing: How reliable is the self-paced reading task?

Advances in research on language processing have originally come from group-level comparisons, but there is now a growing interest in individual differences. To investigate individual differences, tasks that have shown robust group-level differences are often used with the implicit assumption that they will also be reliable when used as an individual differences measure. Here, we examined whether one of the primary tasks used in psycholinguistic research on language processing, the self-paced reading task, can reliably measure individual differences in relative clause processing. We replicated the well-established effects of relative clauses at the group level, with object relative clauses being more difficult to process than subject relative clauses. However, when using difference scores, the reliability of the size of the relative clause effect was close to zero because the self-paced reading times for the different relative clause types were highly correlated within individuals. Nonetheless, we found that the self-paced reading task can be used to reliably capture individual differences in overall reading speed as well as key sentence regions when the two types of relative clause sentences are considered separately. Our results indicate that both the reliability and validity of different sentence regions need to be assessed to determine whether and when self-paced reading can be used to examine individual differences in language processing.

Processing and Comprehension of Locally Ambiguous Participial Relative Clause Sentences in Russian

The study tested how the Recency Preference and Predicate Proximity model (Gibson et al. in Cognition 59(1):23–59, 1996, https://doi.org/10.1016/0010-0277(88)90004-2) plays out by examining the attachment preferences of native Russian speakers when processing locally ambiguous participial relative clause sentences with three potential NP attachment sites in Russian. Using a self-paced reading task, reading times and noun phrase selection responses were collected. Results showed significantly shorter reading times at the disambiguating region and higher accuracy rate of selection in the high-attaching condition than in the middle- and low-attaching conditions. No significant differences were found between the middle- and low-attaching conditions. We argue that Predicate Proximity is a much stronger factor than Recency Preference in Russian.

PS-GCN: psycholinguistic graph and sentiment semantic fused graph convolutional networks for personality detection

Personality detection identifies personality traits in text. Current approaches often rely on deep learning networks for text representation but they overlook the significance of psychological language knowledge in connecting user language expression to psychological characteristics. Consequently, the accuracy of personality detection is compromised. To address this issue, this paper presents PS-GCN, a model integrating Psychological knowledge and Sentiment semantic features through Graph Convolution Networks. Firstly, the Bi-LSTM network captures local features of preprocessed sentences to accurately represent the output of sentence sentiment features. Secondly, GCNs map psycholinguistic knowledge, forming semantic networks of entities and relationships. P-GCN is designed to capture the dependency information between psycholinguistic features, while S-GCN utilises syntactic structure analysis to gather more abundant information features and enhance semantic understanding ability. Finally, attention calculation is employed to reinforce key features and weaken irrelevant information. Additionally, a sentence group model captures combined features of related sentences, effectively utilising the text structure to mine sentimental features. Experimental results on multiple datasets demonstrate that the proposed method significantly improves the classification accuracy in personality detection tasks.

Investigating belief understanding in children in a nonverbal ambiguous displacement and communication setting

Finding ways to investigate false belief understanding nonverbally is not just important for preverbal children but also is the only way to assess theory of mind (ToM)-like abilities in nonhuman animals. In this preregistered study, we adapted the design from a previous study on pet dogs to investigate false belief understanding in children and to compare it with belief understanding of those previously tested dogs. A total of 32 preschool children (aged 5–6 years) saw the displacement of a reward and obtained nonverbal cueing of the empty container from an adult communicator holding either a true or false belief. In the false belief condition, when the communicator did not know the location of the reward, children picked the baited container, but not the cued container, more often than the empty one. In the true belief condition, when the communicator witnessed the displacement yet still cued the wrong container, children performed randomly. The children’s behavior pattern was at odds with that of the dogs tested in a previous study, which picked the cued container more often when the human communicator held a false belief. In addition to species comparisons, because our task does not require verbal responses or relational sentence understanding, it can also be used in preverbal children. The children in our study behaved in line with the existing ToM literature, whereas most (but not all) dogs from the previously collected sample, although sensitive to differences between the belief conditions, deviated from the children. This difference suggests that using closely matched paradigms and experimental procedures can reveal decisive differences in belief processing between species. It also demonstrates the need for a more comprehensive exploration and direct comparison of the various aspects of false belief processing and ToM in different species to understand the evolution of social cognition.

Six-year-olds’ comprehension of object-gapped relative clause sentences: Investigating the contribution of NP number mismatch

Comprehension of sentences with a center-embedded, object-gapped relative clause (ORC) is challenging for children as well as adults. Mismatching lexical and grammatical features of subject noun phrases (NPs) across the main clause and relative clause has been shown to facilitate comprehension. Adani et al. concluded that children’s comprehension improved under conditions of NP number mismatch (e.g., singular main clause subject and plural relative clause subject) as compared with NP number match (e.g., both singular subjects). However, their stimuli provided number information on verb phrases (VPs) as well as NPs creating a confound for conclusions about facilitative effects of NP number mismatch. In this study, we isolated the contribution of NP number mismatch. Notably, 32 6-year-olds with typical language participated in a center-embedded, ORC sentence comprehension task with 4 types of stimuli: (a) NP number mismatch without VP number information (NP mismatch only), (b) NP number match without VP number information (NP match only), (c) NP number mismatch with VP number mismatch (NP + VP mismatch), and (d) NP number match with VP number match (NP + VP match). Children selected one of four pictures in an array to a verbally presented relative clause sentence; 56 sentences were presented. The within-subjects comparison for NP mismatch only and NP match only was not significant. However, the within-subjects comparison for NP mismatch only and NP + VP mismatch was significant. Children were more successful in NP + VP mismatch sentence comprehension ([Formula: see text] = 0.70).

A Pilot Study on Investigating Primary School Students’ Eye Movements While Solving Compare Word Problems

Abstract One of the most difficult types of arithmetic word problems in primary school is compare problems. Among these problems, the most problematic are those in which the relational term is not consistent with the arithmetic operation required for the solution. This study investigates how 10–11-year-old primary school pupils’ read and interpret compare word problems. The consistency effect and the differences between successful and unsuccessful problem solvers are mainly studied using eye-tracking technology. The results show that students are more successful in solving consistent language (CL) problems than inconsistent language (IL) problems. Regarding eye movements during reading and solving the problems, fixation duration on the relational sentence and numbers is longer in the case of IL problems than in the case of CL problems. Compared to successful problem solvers, unsuccessful solvers fixate longer on the relational term, the pronominal reference word, and the statement and relational sentence of IL problems, but not on numbers.

GLCM: Global-Local Captioning Model for Remote Sensing Image Captioning.

Remote sensing image captioning (RSIC), which describes a remote sensing image with a semantically related sentence, has been a cross-modal challenge between computer vision and natural language processing. For visual features extracted from remote sensing images, global features provide the complete and comprehensive visual relevance of all the words of a sentence simultaneously, while local features can emphasize the discrimination of these words individually. Therefore, not only global features are important for caption generation but also local features are meaningful for making the words more discriminative. In order to make full use of the advantages of both global and local features, in this article, we propose an attention-based global-local captioning model (GLCM) to obtain global-local visual feature representation for RSIC. Based on the proposed GLCM, the correlation of all the generated words and the relation of each separate word and the most related local visual features can be visualized in a similarity-based manner, which provides more interpretability for RSIC. In the extensive experiments, our method achieves comparable results in UCM-captions and superior results in Sydney-captions and RSICD which is the largest RSIC dataset.

Discussing conditional early release from serving sentences in relation to those serving life imprisonment

Discussing conditional early release from serving sentences in relation to those serving life imprisonment

Second language word processing in sentence contexts: pre-lexical prediction versus post-lexical integration

This study investigated the effects of sentence contexts on the second language (L2) word recognition process. It aims at finding whether second language (L2) learners of English perform similar to English native speakers in terms of using the sentence context to predict upcoming word in their L2. A group of L2 participants and a control group of native speakers (L1) participants performed a cross-modal priming task in which they were asked to make a lexical decision on a visually presented word while listening to a semantically related or non- related English sentence. The test was conducted to determine whether both groups of participants were able to predict an upcoming word based on the context of the preceding sentence that is auditorily presented. The study is conducted using PsychoPy software whereas the data was analyzed using linear-mixed effects modeling in RStudio software. The results showed that the L1 speakers were able to predict an upcoming word based on the context of the preceding sentence. That is, a significantly faster recognition of the related word was observed compared to the less related words. On other hand, the English second language participants were not as able to predict an upcoming word as quickly as the English native speaker participants were. However, the L2 participants showed post-access lexical processing or what is called an integrating process of the presented word to the previous sentence context. That is, an effect of the sentence context was observed with L2 participants, yet only after reading the presented word, they decide whether it is appropriate to the preceding sentence context or not. Acknowledgments The author is thankful to the Deanship of Scientific Research at Najran University for funding this work under the National Research Priorities funding program.

One Year of Outpatient Dialectical Behavioral Therapy and Its Impact on Neuronal Correlates of Attachment Representation in Patients with Borderline Personality Disorder Using a Personalized fMRI Task.

(1) Background: BPD is characterized by affect dysregulation, interpersonal problems, and disturbances in attachment, but neuroimaging studies investigating attachment representations in BPD are rare. No study has examined longitudinal neural changes associated with interventions targeting these impairments. (2) Methods: We aimed to address this gap by performing a longitudinal neuroimaging study on n = 26 patients with BPD treated with Dialectic Behavioral Therapy (DBT) and n = 26 matched healthy controls (HCs; post intervention point: n = 18 BPD and n = 23 HCs). For functional imaging, we applied an attachment paradigm presenting attachment related scenes represented in drawings paired with related neutral or personalized sentences from one's own attachment narratives. In a prior cross-sectional investigation, we identified increased fMRI-activation in the human attachment network, in areas related to fear response and the conflict monitoring network in BPD patients. These were especially evident for scenes from the context of loneliness (monadic pictures paired with individual narrative sentences). Here, we tested whether these correlates of attachment representation show a near-to-normal development over one year of DBT intervention. In addition, we were interested in possible associations between fMRI-activation in these regions-of-interest (ROI) and clinical scores. (3) Results: Patients improved clinically, showing decreased symptoms of borderline personality organization (BPI) and increased self-directedness (Temperament and Character Inventory, TCI) over treatment. fMRI-activation was increased in the anterior medial cingulate cortex (aMCC) and left amygdala in BPD patients at baseline which was absent after intervention. When investigating associations between scores (BPI, TCI) and functional activation, we found significant effects in the bilateral amygdala. In contrast, aMCC activation at baseline was negatively associated with treatment outcome, indicating less effective treatment effects for those with higher aMCC activation at baseline. (4) Conclusions: Monadic attachment scenes with personalized sentences presented in an fMRI setup are capable of identifying increased activation magnitude in BPD. After successful DBT treatment, these increased activations tend to normalize which could be interpreted as signs of a better capability to regulate intensive emotions in the context of "social pain" towards a more organized/secure attachment representation. Amygdala activation, however, indicates high correlations with pre-treatment scores; activation in the aMCC is predictive for treatment gain. Functional activation of the amygdala and the aMCC as a response to attachment scenes representing loneness at baseline might be relevant influencing factors for DBT-intervention outcomes.

On the Issue of the Specifics of Execution Deprivation of Liberty in Relation to Patients Socially Significant Diseases

The article discusses the features of the execution of sentences in relation to convicts with socially significant diseases. Based on the analysis, the authors drew conclusions. Timely diagnosis and treatment control of sanitary and epidemiological treatment of premises in the institution and the establishment of psychological contact with this category of convicts can increase the effectiveness of prevention. Monitoring will reveal the existing problems in the provision of medical care in places of deprivation of liberty. In order to increase the effectiveness of the execution of sentences in relation to convicts with socially significant diseases, it is necessary to create a unified federal system for registering released persons in this category in order to ensure the timely transmission of information throughout the country.

BERT-based natural language processing analysis of French CT reports: Application to the measurement of the positivity rate for pulmonary embolism.

To develop a Natural Language Processing (NLP) method based on Bidirectional Encoder Representations from Transformers (BERT) adapted to French CT reports and to evaluate its performance to calculate the diagnostic yield of CT in patients with clinical suspicion of pulmonary embolism (PE). All the CT reports performed in our institution in 2019 (99,510 reports, training and validation dataset) and 2018 (94,559 reports, testing dataset) were included after anonymization. Two BERT-based NLP sentence classifiers were trained on 27.700, manually labeled, sentences from the training dataset. The first one aimed to classify the reports' sentences into three classes ("Non chest", "Healthy chest", and "Pathological chest" related sentences), the second one to classify the last class into eleven sub classes pathologies including "pulmonary embolism". F1-score was reported on the validation dataset. These NLP classifiers were then applied to requested CT reports for pulmonary embolism from the testing dataset. Sensitivity, specificity, and accuracy for detection of the presence of a pulmonary embolism were reported in comparison to human analysis of the reports. The F1-score for the 3-Classes and 11-SubClasses classifiers was 0.984 and 0.985, respectively. 4,042 examinations from the testing dataset were requested for pulmonary embolism of which 641 (15.8%) were positively evaluated by radiologists. The sensitivity, specificity, and accuracy of the NLP network for identifying pulmonary embolism in these reports were 98.2%, 99.3% and 99.1%, respectively. BERT-based NLP sentences classifier enables the analysis of large databases of radiological reports to accurately determine the diagnostic yield of CT screening.

Is beta in agreement with the relatives? Using relative clause sentences to investigate MEG beta power dynamics during sentence comprehension.

There remains some debate about whether beta power effects observed during sentence comprehension reflect ongoing syntactic unification operations (beta-syntax hypothesis), or instead reflect maintenance or updating of the sentence-level representation (beta-maintenance hypothesis). In this study, we used magnetoencephalography to investigate beta power neural dynamics while participants read relative clause sentences that were initially ambiguous between a subject- or an object-relative reading. An additional condition included a grammatical violation at the disambiguation point in the relative clause sentences. The beta-maintenance hypothesis predicts a decrease in beta power at the disambiguation point for unexpected (and less preferred) object-relative clause sentences and grammatical violations, as both signal a need to update the sentence-level representation. While the beta-syntax hypothesis also predicts a beta power decrease for grammatical violations due to a disruption of syntactic unification operations, it instead predicts an increase in beta power for the object-relative clause condition because syntactic unification at the point of disambiguation becomes more demanding. We observed decreased beta power for both the agreement violation and object-relative clause conditions in typical left hemisphere language regions, which provides compelling support for the beta-maintenance hypothesis. Mid-frontal theta power effects were also present for grammatical violations and object-relative clause sentences, suggesting that violations and unexpected sentence interpretations are registered as conflicts by the brain's domain-general error detection system.

Violencia psicológica, sus secuelas permanentes y la proporcionalidad de la pena

This research leads the reader to elucidate the needs of women, as well as the constant search and struggle for equality of rights and gender in society. The promulgation in the Comprehensive Criminal Organic Code of art. 17, describing as a crime different forms of violence against women or members of the family nucleus, has put into debate the proportionality of the maximum sentence in relation to the presence of permanent sequelae in the victim. This allows us to reflect on whether the sanctions provided for by the COIP are related to the principle of proportionality, in particular, in the application of the maximum penalty. The general objective stated, then, is to critically review Art. 157 of the COIP; for which, a qualitative methodology will be used, applying bibliographic, historical-logical, and inductive review methods. Being able to determine the impact of this type of violence and the consequences it leaves on the victim, as well as the professional attention, medical assistance and rehabilitation that is required as part of their recovery; emphasizing their rights, and the breach of the principle of penal proportionality, according to the seriousness of the damage caused; deepening on the right to live without violence.

Clustering Travelers’ Lifestyle Destination Image from Five Asian Traveler-Generated Content

This study examines the destination image and lifestyle experience via traveler-generated comments. To understand the travelers’ behavior, we first established a crawler, which helps us to gather the travelers’ comments from tourism social media. After conducting a content analysis, text mining, and factor analysis of a sampling of 23,019 travelers’ comments, this study found that travelers based on their activities and experiences constructed their image. Additionally, we also found that the travelers’ emotions and impressions showed up with their images. From the result of factor analysis, we extract the 13 clustering results and perform the one-way ANOVA with Scheffe’s method to compare the difference among each group. Finally, we used the related sentences to draw a relation map to explain the inner difference between travelers. This study’s results suggest that traveler-generated comments can be especially useful for destination image analysis and market segments in tourism marketing and management. This study also highlights the importance of understanding destination image and marketing segment from the travelers’ comments and challenges for those in tourism marketing to narrow the gap.