A Continuity in Logical Development: Domain-General Disjunctive Inference by Toddlers.

Children grow up surrounded by opportunities to learn (the language of their community, the movements of their body, other people's preferences and mental lives, games, social norms, etc.). Here, we find that toddlers (N = 36; age range 2.3-3.2 years) rely on a logical reasoning strategy, Disjunctive Inference (i.e., A OR B, A is ruled out, THEREFORE, B), across a variety of situations, all before they have any formal education or extensive experience with words for expressing logical meanings. In learning new words, learning new facts about a person, and finding the winner of a race, toddlers systematically consider and reject competitors before deciding who must be the winner. This suggests that toddlers may have a general-purpose logical reasoning tool that they can use in any situation.

Negation and social avoidance in language recruits the right inferior frontal gyrus: a tDCS study.

Introduction: In the process of comprehension, linguistic negation induces inhibition of negated scenarios. Numerous studies have highlighted the role of the right Inferior Frontal Gyrus (rIFG) - a key component of the inhibitory network - in negation processing. Social avoidance can be linguistically portrayed using attitudinal verbs such as "exclude" vs. "include", which inherently carry negative connotations. Consequently, we hypothesize that the interplay between explicit negation and the implicit negativity of avoidance verbs can be modulated via transcranial direct current stimulation (tDCS) targeting the rIFG. Methods: In our study, sixty-four participants read approach/avoidance sentences, which were either affirmative or negative, such as "Anne included (did not include) meat in her diet" vs. "Anne excluded (did not exclude) meat in her diet". This reading task followed a 20-minute tDCS session. The sentences were sequentially displayed, and at 1500 ms post-sentence, a verb was shown - either the one previously mentioned or its semantic alternative counterpart (e.g., included vs. excluded). Results: Findings revealed that anodal stimulation intensifies the inhibitory impact of negation during sentence comprehension. Under anodal conditions, negative sentences led to extended reading times for the mentioned verbs compared to their affirmative counterparts, suggesting an increased inhibitory effect on the verb. Furthermore, in avoidance sentences, anodal stimulation resulted in reduced reading times for alternative verbs (e.g. "included") in negative sentences compared to alternative verbs (e.g. "excluded") in negated approach sentences. Discussion: As "avoidance" is semantically equivalent to "non-approach", the inhibitory effect of negation is primarily applied to the implicit negation: NOT EXCLUDED = NOT→NOT (INCLUDED), which consequently activates the representation of the alternative verb making it more available. We further discuss these findings in light of the rIFG's pivotal role in processing attitudinal verbs and linguistic negation. This discussion is framed within the overarching context of the two-step model of negation processing, highlighting its significance in the realm of social communication.

Cognitive complexity explains processing asymmetry in judgments of similarity versus difference.

Human judgments of similarity and difference are sometimes asymmetrical, with the former being more sensitive than the latter to relational overlap, but the theoretical basis for this asymmetry remains unclear. We test an explanation based on the type of information used to make these judgments (relations versus features) and the comparison process itself (similarity versus difference). We propose that asymmetries arise from two aspects of cognitive complexity that impact judgments of similarity and difference: processing relations between entities is more cognitively demanding than processing features of individual entities, and comparisons assessing difference are more cognitively complex than those assessing similarity. In Experiment 1 we tested this hypothesis for both verbal comparisons between word pairs, and visual comparisons between sets of geometric shapes. Participants were asked to select one of two options that was either more similar to or more different from a standard. On unambiguous trials, one option was unambiguously more similar to the standard; on ambiguous trials, one option was more featurally similar to the standard, whereas the other was more relationally similar. Given the higher cognitive complexity of processing relations and of assessing difference, we predicted that detecting relational difference would be particularly demanding. We found that participants (1) had more difficulty detecting relational difference than they did relational similarity on unambiguous trials, and (2) tended to emphasize relational information more when judging similarity than when judging difference on ambiguous trials. The latter finding was replicated using more complex story stimuli (Experiment 2). We showed that this pattern can be captured by a computational model of comparison that weights relational information more heavily for similarity than for difference judgments.

Suicidality associated with decreased help-seeking attitudes in college students: Implications for identifying and treating at-risk students.

Suicide is a leading cause of death in college-aged youth, yet only half of all college students report engaging in professional mental health help-seeking. We examined how the various aspects of young adults' suicidality were associated with their openness to pursue professional mental health care in the future (i.e., "future help-seeking intentions"). Multilevel binary logistic regressions were tested in a sample of 24,446 U.S. college undergraduates with suicidality. The moderating effect of past service utilization on future help-seeking intentions was also tested. Strikingly, young people reporting past-year suicidal ideation, past-year suicidal attempts, and self-reported likelihood of a future suicide attempt demonstrated decreased likelihood of future help-seeking intentions, while those reporting prior diagnosis of a mental health condition and/or past service utilization demonstrated an increased likelihood. Past service utilization also significantly moderated the effect of suicide disclosure, such that youth reporting prior disclosure and prior professional treatment-seeking demonstrated greater odds of future help-seeking intentions relative to those who had disclosed suicidality but never utilized professional services. In order to mitigate the mental health crisis facing youth, further exploration is necessary to understand why students with suicidality do not report openness to seek help. It is also imperative to develop and implement novel strategies to identify at-risk students, understand and alleviate relevant barriers to treatment, and promote positive help-seeking attitudes and behaviors.

The comprehension of double negation in Chinese children with reading difficulties.

This study investigated the processing of double negation in Chinese children with reading difficulties. The comprehension of Mandarin affirmative, single negative and double negative sentences was tested with Chinese young poor readers and typical readers, using a sentence-picture verification task. Results showed that double negative sentences were most difficult to process for both groups; the poor readers performed significantly worse than the typical readers in comprehending double negative sentences, while no difference between the two groups was observed in comprehending affirmative and single negative sentences. Besides, morphological awareness correlated with the comprehension of double negative and single negative sentences in poor readers, while this correlation did not emerge with typical readers. Overall, our results suggest that children with reading difficulties experienced great processing difficulty in double negation, confirming that reading disorders are also characterised by oral language difficulties, in particular in the comprehension of sentences requiring high processing costs.

Adaptation at the Syntax-Semantics Interface: Evidence From a Vernacular Structure.

Expanding on psycholinguistic research on linguistic adaptation, the phenomenon whereby speakers change how they comprehend or produce structures as a result of cumulative exposure to less frequent or unfamiliar linguistic structures, this study asked whether speakers can learn semantic and syntactic properties of the American English vernacular negative auxiliary inversion (NAI) structure (e.g., didn't everybody eat, meaning "not everybody ate") during the course of an experiment. Formal theoretical analyses of NAI informed the design of a task in which American English-speaking participants unfamiliar with this structure were exposed to NAI sentences in either semantically ambiguous or unambiguous contexts. Participants rapidly adapted to the interpretive properties of NAI, selecting responses similar to what would be expected of a native speaker after only limited exposure to semantically ambiguous input. On a separate ratings task, participants displayed knowledge of syntactic restrictions on NAI subject type, despite having no previous exposure. We discuss the results in the context of other experimental studies of adaptation and suggest the implementation of top-down strategies via analogy to other familiar structure types as possible explanations for the behaviors observed in this study. The study illustrates the value of integrating insights from formal theoretical research and psycholinguistic methods in research on adaptation and highlights the need for more interdisciplinary and cross-disciplinary work in both experimental and naturalistic contexts to understand this phenomenon.

Multivariate pattern analysis of EEG reveals nuanced impact of negation on sentence processing in the N400 and later time windows.

The neurocognitive mechanism underlying negation processing remains controversial. While negation is suggested to modulate the access of word meaning, no such evidence has been observed in the event-related potential (ERP) literature on sentence processing. In the current study, we applied both univariate ERP and multivariate pattern analysis (MVPA) methods to examine the processing of sentence negation. We investigated two types of negative congruent/incongruent sentence pairs with truth-value evaluation (e.g., "A robin is a/not a bird") and without (e.g., "The woman reads a/no book"). In the N400 time window, ERPs consistently showed increased negativity for negative and incongruent conditions. MVPA, on the other hand, revealed nuanced interactions between polarity and congruency. In the later P600 time window, MVPA but not the ERPs revealed an effect of congruency, which may be functionally distinct from the N400 window. We further used cross-decoding to show that the cognitive processes underlying the N400 window for both affirmative and negative sentences are comparable, whereas in the P600 window, only for the truth sentences, negative sentences showed a distinct pattern from their affirmative counterparts. Our results thus speak for a more interactive, but nevertheless serial and biphasic, and potentially construction-specific processing account of negation. We also discuss the advantage of applying MVPA in addition to the classical univariate methods for a better understanding of the neurobiology of negation processing and language comprehension alike.

Does negation influence the choice of sentence continuations? Evidence from a four-choice cloze task.

Event plausibility facilitates the processing of affirmative sentences, but little is known about how it affects negative sentences. In six behavioural experiments, we investigated negation's impact on the choice of sentence continuations that differ with respect to event plausibility. In a four-choice cloze task, participants saw affirmative and negative sentence fragments (The child will [not] eat the . . .) in combination with four potential continuations: yoghurt (a plausible word), shellfish (a weak world knowledge violating word), branch (a severe world knowledge violating word), and minivan (a word resulting in a semantic violation). Across all experiments the plausible word was highly preferred in both affirmative and negative sentences. Experiment 2 replicated Experiment 1 while ruling out the possibility that the lack of effect of negation in Experiment 1 stemmed from participants not fully processing the negation. Experiment 3 showed that the observed plausibility effects can be generalised to other aspectual forms (The child has [not] eaten the yoghurt). Experiment 4 ruled out the possibility that the choices were mainly driven by lexical associations and additionally suggested a role for informativity. Experiment 5 replicated Experiment 4 and reinforced the general pattern according to which negative sentences express the denial of plausible positive events. Experiment 6 provided evidence that informativity might be driving patterns of choices in the negative sentences. All in all, these findings suggest that upcoming continuations are chosen to maximise the plausibility of the event in the affirmative sentences and to deny that event in the negative sentences. The observed plausibility effects do not seem to be modulated by the internal representation of events, but they can be modulated by changes to the expected informativity of the sentence.

Scaffolding the human partner by contrastive guidance in an explanatory human-robot dialogue.

Explanation has been identified as an important capability for AI-based systems, but research on systematic strategies for achieving understanding in interaction with such systems is still sparse. Negation is a linguistic strategy that is often used in explanations. It creates a contrast space between the affirmed and the negated item that enriches explaining processes with additional contextual information. While negation in human speech has been shown to lead to higher processing costs and worse task performance in terms of recall or action execution when used in isolation, it can decrease processing costs when used in context. So far, it has not been considered as a guiding strategy for explanations in human-robot interaction. We conducted an empirical study to investigate the use of negation as a guiding strategy in explanatory human-robot dialogue, in which a virtual robot explains tasks and possible actions to a human explainee to solve them in terms of gestures on a touchscreen. Our results show that negation vs. affirmation 1) increases processing costs measured as reaction time and 2) increases several aspects of task performance. While there was no significant effect of negation on the number of initially correctly executed gestures, we found a significantly lower number of attempts-measured as breaks in the finger movement data before the correct gesture was carried out-when being instructed through a negation. We further found that the gestures significantly resembled the presented prototype gesture more following an instruction with a negation as opposed to an affirmation. Also, the participants rated the benefit of contrastive vs. affirmative explanations significantly higher. Repeating the instructions decreased the effects of negation, yielding similar processing costs and task performance measures for negation and affirmation after several iterations. We discuss our results with respect to possible effects of negation on linguistic processing of explanations and limitations of our study.

Following Affirmative and Negated Rules.

Rules are often stated in a negated manner ("no trespassing") rather than in an affirmative manner ("stay in your lane"). Here, we build on classic research on negation processing and, using a finger-tracking design on a touchscreen, we show that following negated rather than affirmative rules is harder as indicated by multiple performance measures. Moreover, our results indicate that practice has a surprisingly limited effect on negated rules, which are implemented more quickly with training, but this effect comes at the expense of reduced efficiency. Only affirmative rules are thus put into action efficiently, highlighting the importance of tailoring how rules are communicated to the peculiarities of the human mind.

Negation and speculation processing: A study on cue-scope labelling and assertion classification in Spanish clinical text.

Natural Language Processing (NLP) based on new deep learning technology is contributing to the emergence of powerful solutions that help healthcare providers and researchers discover valuable patterns within insurmountable volumes of health records and scientific literature. Fundamental to the success of such solutions is the processing of negation and speculation. The article addresses this problem with state-of-the-art deep learning approaches from two perspectives: cue and scope labelling, and assertion classification. In light of the real struggle to access clinical annotated data, the study (a) proposes a methodology to automatically convert cue-scope annotations to assertion annotations; and (b) includes a range of scenarios with varying amounts of training data and adversarial test examples. The results expose the clear advantage of Transformer-based models in this regard, managing to overpass a series of baselines and the related work in the public corpus NUBes of clinical Spanish text.

Negation recognition in clinical natural language processing using a combination of the NegEx algorithm and a convolutional neural network.

BACKGROUND: Important clinical information of patients is present in unstructured free-text fields of Electronic Health Records (EHRs). While this information can be extracted using clinical Natural Language Processing (cNLP), the recognition of negation modifiers represents an important challenge. A wide range of cNLP applications have been developed to detect the negation of medical entities in clinical free-text, however, effective solutions for languages other than English are scarce. This study aimed at developing a solution for negation recognition in Spanish EHRs based on a combination of a customized rule-based NegEx layer and a convolutional neural network (CNN). METHODS: Based on our previous experience in real world evidence (RWE) studies using information embedded in EHRs, negation recognition was simplified into a binary problem ('affirmative' vs. 'non-affirmative' class). For the NegEx layer, negation rules were obtained from a publicly available Spanish corpus and enriched with custom ones, whereby the CNN binary classifier was trained on EHRs annotated for clinical named entities (cNEs) and negation markers by medical doctors. RESULTS: The proposed negation recognition pipeline obtained precision, recall, and F1-score of 0.93, 0.94, and 0.94 for the 'affirmative' class, and 0.86, 0.84, and 0.85 for the 'non-affirmative' class, respectively. To validate the generalization capabilities of our methodology, we applied the negation recognition pipeline on EHRs (6,710 cNEs) from a different data source distribution than the training corpus and obtained consistent performance metrics for the 'affirmative' and 'non-affirmative' class (0.95, 0.97, and 0.96; and 0.90, 0.83, and 0.86 for precision, recall, and F1-score, respectively). Lastly, we evaluated the pipeline against two publicly available Spanish negation corpora, the IULA and NUBes, obtaining state-of-the-art metrics (1.00, 0.99, and 0.99; and 1.00, 0.93, and 0.96 for precision, recall, and F1-score, respectively). CONCLUSION: Negation recognition is a source of low precision in the retrieval of cNEs from EHRs' free-text. Combining a customized rule-based NegEx layer with a CNN binary classifier outperformed many other current approaches. RWE studies highly benefit from the correct recognition of negation as it reduces false positive detections of cNE which otherwise would undoubtedly reduce the credibility of cNLP systems.

On truth and polarity in negation processing: language-specific effects in non-linguistic contexts.

Introduction: This study examines how negation is processed in a nonverbal context (e.g., when assessing ▲ ≠ ▲) by speakers of a truth-based system like Mandarin and a polarity-based system like English. In a truth-based system, negation may take longer to process because it is typically attached to the negation as a whole (it is not true that triangle does not equal triangle), whereas in polarity-based systems, negation is processed relatively faster because it is attached to just the equation symbol (triangle does not equal triangle), which is processed relatively faster. Our hypothesis was that negation processing routines previously observed for verbal contexts, namely that speakers of Mandarin get slowed down more when processing negative stimuli than positive stimuli compared to speakers of English, also extend to contexts when language use is not obligatory. Methods: To test this, we asked participants to agree/disagree with equations comprising simple shapes and positive '=' or negative '≠' equation symbols. English speakers showed a response-time advantage over Mandarin speakers in negation conditions. In a separate experiment, we also tested the contribution of equation symbols '≠'/'=' to the cognitive demands by asking participants to judge shape sameness in symbol-free trials, such as ▲ ■. This comparison allowed us to test whether crosslinguistic differences arise not because of shape congruence judgement but arguably due to negation attachment. Results and discussion: The effect of the '≠' symbol on shape congruence was language-specific, speeding up English speakers but slowing down Mandarin speakers when the two shapes differed. These findings suggest language-specific processing of negation in negative equations, interpreted as novel support for linguistic relativity.

It's not just what we don't know: The mapping problem in the acquisition of negation.

How do learners learn what no and not mean when they are only presented with what is? Given its complexity, abstractness, and roles in logic, truth-functional negation might be a conceptual accomplishment. As a result, young children's gradual acquisition of negation words might be due to their undergoing a gradual conceptual change that is necessary to represent those words' logical meaning. However, it's also possible that linguistic expressions of negation take time to learn because of children's gradually increasing grasp of their language. To understand what no and not mean, children might first need to understand the rest of the sentences in which those words are used. We provide experimental evidence that conceptually equipped learners (adults) face the same acquisition challenges that children do when their access to linguistic information is restricted, which simulates how much language children understand at different points in acquisition. When watching a silenced video of naturalistic uses of negators by parents speaking to their children, adults could tell when the parent was prohibiting the child and struggled with inferring that negators were used to express logical negation. However, when provided with additional information about what else the parent said, guessing that the parent had expressed logical negation became easy for adults. Though our findings do not rule out that young learners also undergo conceptual change, they show that increasing understanding of language alone, with no accompanying conceptual change, can account for the gradual acquisition of negation words.

Activation levels of plausible alternatives in conversational negation.

Negation is often used to contradict or correct (e.g. There is no dog here.). While rejecting some state of affairs that is presumed to hold for the recipient (e.g. There is a dog here.), the speaker might implicitly suggest a set of plausible alternatives (e.g. There is a wolf instead.). Prior work indicates that alternatives are highly relevant to the comprehension of sentences involving focus: in priming studies, listeners infer plausible alternatives to focused items even when they are not contextually available. So far it is unclear whether negation similarly activates an automatic search for plausible alternatives. The current study was designed to investigate this question, by looking at the activation levels of nouns after negative and affirmative sentences. In a series of priming experiments, subjects were presented with negative and affirmative sentences (e.g. There is an/no apple.), followed by a lexical decision task with targets including plausible alternatives (e.g. pear), as well as semantically related but implausible alternatives (e.g. seed). An interaction of Sentence Polarity and Prime-Target Relation was expected, with negation facilitating responses to plausible alternatives. Results of the first experiment were numerically in line with the hypothesis but the interaction just missed significance level. A post hoc analysis revealed the expected significant interaction. Possible roles of sentential context and goodness of alternatives are discussed. A further experiment confirms that the goodness of alternatives is in fact critical in modulating the effect.

Cotard's Delusion and Its Relation With Different Psychiatric Diagnoses in a Tertiary Care Hospital.

Background Cotard's delusion/Cotard's syndrome is a series of delusions ranging from a false, fixed, unshakeable belief that one has lost their soul, blood, organs, and body parts to the belief that one is dead. The syndrome was initially thought to be associated with only mood disorders but later was found in other psychiatric illnesses as well. Aim The study aimed to find an association between Cotard's delusion and the psychopathology of different psychiatric diagnoses. Method The clinical study comprised seven patients presenting with symptoms of Cotard syndrome with different presentations, diagnoses, and onset and meeting inclusion criteria. The study was carried out in the Department of Psychiatry, Assam Medical College and Hospital. The patients were hospitalized and, after a detailed history, mental status examination, and laboratory investigations, were treated with pharmacological and non-pharmacological methods. A descriptive statistical analysis was done. Results Denial of the existence of body organs was the most similar complaint encountered in the cases. The duration of illness onset ranged from weeks to months. The symptoms were found to be present in different psychiatric illnesses like schizophrenia, delusional disorder, depression, and intellectual disability. The patient had responded well to pharmacological agents with the exception of three patients who were treated with electroconvulsive therapy. Conclusion The study highlights the different subtypes of Cotard's syndrome and its associated symptoms, which provides a better understanding of the condition. The case series presents a finding of a higher proportion of male patients and adolescent cases than in previous reports. The study also provides valuable insights into its heterogeneity in the diagnosis and treatment of Cotard's syndrome, which may help in the early recognition and management of this rare condition.

Characterizing exact arithmetic abilities before formal schooling.

Children appear to have some arithmetic abilities before formal instruction in school, but the extent of these abilities as well as the mechanisms underlying them are poorly understood. Over two studies, an initial exploratory study of preschool children in the U.S. (N = 207; Age = 2.89-4.30 years) and a pre-registered replication of preschool children in Italy (N = 130; Age = 3-6.33 years), we documented some basic behavioral signatures of exact arithmetic using a non-symbolic subtraction task. Furthermore, we investigated the underlying mechanisms by analyzing the relationship between individual differences in exact subtraction and assessments of other numerical and non-numerical abilities. Across both studies, children performed above chance on the exact non-symbolic arithmetic task, generally showing better performance on problems involving smaller quantities compared to those involving larger quantities. Furthermore, individual differences in non-verbal approximate numerical abilities and exact cardinal number knowledge were related to different aspects of subtraction performance. Specifically, non-verbal approximate numerical abilities were related to subtraction performance in older but not younger children. Across both studies we found evidence that cardinal number knowledge was related to performance on subtraction problems where the answer was zero (i.e., subtractive negation problems). Moreover, subtractive negation problems were only solved above chance by children who had a basic understanding of cardinality. Together these finding suggest that core non-verbal numerical abilities, as well as emerging knowledge of symbolic numbers provide a basis for some, albeit limited, exact arithmetic abilities before formal schooling.

Uncertainty Management in Assessment of FMEA Expert Based on Negation Information and Belief Entropy.

The failure mode and effects analysis (FMEA) is a commonly adopted approach in engineering failure analysis, wherein the risk priority number (RPN) is utilized to rank failure modes. However, assessments made by FMEA experts are full of uncertainty. To deal with this issue, we propose a new uncertainty management approach for the assessments given by experts based on negation information and belief entropy in the Dempster-Shafer evidence theory framework. First, the assessments of FMEA experts are modeled as basic probability assignments (BPA) in evidence theory. Next, the negation of BPA is calculated to extract more valuable information from a new perspective of uncertain information. Then, by utilizing the belief entropy, the degree of uncertainty of the negation information is measured to represent the uncertainty of different risk factors in the RPN. Finally, the new RPN value of each failure mode is calculated for the ranking of each FMEA item in risk analysis. The rationality and effectiveness of the proposed method is verified through its application in a risk analysis conducted for an aircraft turbine rotor blade.

Undercompression errors as evidence for conceptual primitives.

The Meaning First Approach offers a model of the relation between thought and language that includes a Generator and a Compressor. The Generator build non-linguistic thought structures and the Compressor is responsible for its articulation through three processes: structure-preserving linearization, lexification, and compression via non-articulation of concepts when licensed. One goal of this paper is to show that a range of phenomena in child language can be explained in a unified way within the Meaning First Approach by the assumption that children differ from adults with respect to compression and, specifically, that they may undercompress in production, an idea that sets a research agenda for the study of language acquisition. We focus on dependencies involving pronouns or gaps in relative clauses and wh-questions, multi-argument verbal concepts, and antonymic concepts involving negation or other opposites. We present extant evidence from the literature that children produce undercompression errors (a type of commission errors) that are predicted by the Meaning First Approach. We also summarize data that children's comprehension ability provides evidence for the Meaning First Approach prediction that decompression should be challenging, when there is no 1-to-1 correspondence.

Help-seeking preferences in Australian mental health website visitors: A latent profile analysis.

OBJECTIVE: Psychological distress and suicide rates are climbing in Australia despite substantial mental health programme investment in recent decades. Understanding where individuals prefer to seek support in the event of a personal or emotional crisis may help target mental health resources to where they are most needed. This study aimed to explore individual differences in help-seeking preferences that may be leveraged for early intervention and mental health service design. METHOD: Latent profile analysis was used to explore the help-seeking preferences of 1561 Australian online help-seekers who elected to complete a psychological distress screening on a popular mental health website, Beyond Blue. RESULTS: Four latent profiles of help-seeker emerged that illustrate distinct preference channels for support: help-negaters, professional help-seekers, family help-seekers and help-affirmatives. Help-negaters were the least likely to consider seeking help from any source, recorded the highest levels of psychological distress and suicidal ideation, and were more likely to be younger. Help-affirmatives were the most likely to seek help from any source, particularly from religious leaders, and were more likely to speak a language other than English at home. CONCLUSION: Many individuals experiencing mental health concerns will prefer to seek support from family or community contacts rather than professionals, and some will not seek help at all. Diversity in help-seeking preferences should be considered when designing mental health services, outreach and psychoeducation materials.