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Queries and Predicate - Argument Relationship
Full text linkWe have considered the differences between questions and requests, and their co-presence in the structure of queries.
Because of the so-called “descriptive fallacy” in philosophy of language, it took rather a long time to give them the attention they were due. Thanks to pragmatics, this oversight has been rectified.
Asking questions testifies to the strong relationship between lack of determinacy (poverty, both in knowledge and in action) and the need to overcome it (in order to attain plentifulness). Interrogative structures are devices where triggers such as wh-words or suspended assent are at work to retrieve missing information, extract knowledge, or receive the cooperation requested.
Answers are therefore not only assertions, but also permissions, prohibitions, orders, suggestions, etc. The logico-linguistic structure which is always required across this variety of speech acts and which makes possible the wording of questions and requests is predication.
Even in elliptical or simply verbless sentences, predication is at work albeit implicit or implied. To be at work means that it is a necessary condition for the complete efficiency and comprehensibility of the sentence itself. To be at work, then, means that the addressee/hearer/reader has to bear in mind, or retrieve, the predication, where the absence of recognition would prevent him/her from understanding the meaning, i.e. the semantics of the sentence. In crosstalk such as “Ready?” “Not yet.”, no verb appears, but predication is easily recognisable, as implicit (in the question) or implied (in the answer): Implicit, specifically as a part of the first turn “[Are you] ready?”, and implied as the whole turn upon which negation operates. The role of negation is in fact that of an operator, the scope of which is the whole preceding sentence structure: [It is] not yet [true that I am ready]”, i.e. the preceding sentence deprived of its interrogative mood, that is to say without the suspension of assent typical of oriented questions, and shifted to the second person (addressee) to the first one (sender).
During our reconstruction of the basic views on such an evergreen topic in logic and linguistic inquiries as predication, we have argued that some routes need to be modified:
I. Before predicates, theory must put predication as the basic syntagmatic act. This means the adoption of a pragmatic framework.
II. Before articulating predicative relations, the sentence unit must be asserted and the reasons investigated, thus avoiding both factual and metalinguistic oversimplification. Bottom-up approaches need to be balanced by top-down approaches, which deserve a certain priority due to the causative role of the speaker and of his/her communicative intention, which gives rise to the actualisation of the speech act and to the processing of its constituents by the addressee. Compositionality is a function of (con)textuality and not vice versa.
III. ‘Dissimilarity’, or ‘asymmetry’ of components (typically nouns and verbs) is the condition of ‘fitness’ which joins sentence constituents. Without it, we would merely have a co-presence, a juxtaposition, a simple addition. Beyond this, both Aristotelian and Fregean models attest to the feeling of a further (second step) relationship, a reference from the foreground to the background, from the present being (through the copula) to being as such; from single, determined objects of the spoken domain to the universe of discourse (the co-domain instituted as the truth or falsehood which the predicate-argument relationship refers to); from the objects the sentence is about, to the world (actual or possible) it has been assigned to. Moreover, this asymmetry is also active on another layer, that of communicative dynamism (topic-focus articulation, functional sentence perspective). Within the speech, participants in the conversation / communication exchange need to move from what is known to something new; they need to increase their already shared world of reference to new information / action upon it.
IV. Higher units, such as texts, may be further requested, but at least questions/requests and answers cannot be mutually isolated. Moreover, a useful insight into a textual (macro)structure can be derived from the identification of the question(s) and request(s) which may be considered, albeit implicitly, to be the source of the text itself.
V. The newest solutions proposed to capture the structure of the predicative link - which keeps queries and answers together- support the idea of a semantic unity displayed through a plurality of roles and their gradual identification or confirmation: this is what concepts such as functions, cases, stemmas, frames and scripts suggest - barring gaps at the beginning – who does what?, when does this happen? etc. – which have to be filled as an on-going task.
VI. Unproven or simply intuited theoretical endeavours deserve access to data, as rich and varied as possible, in order to test their validity. In the privileged position made possible by computational linguistic tools and resources, philosophers of language, logicians, linguists and other scholars, aware of the multi-secular history of human thought on these topics, can now also carry out field-work. Mutual advantage is expected
Hepatitis C virus entry: role of host and viral factors
No full textAbstract not availableBaila Samreen, Saba Khaliq, Usman Ali Ashfaq, Mahwish Khan, Nadeem Afzal, Muhammad Aiman Shahzad, Sabeen Riaz, Shah Jaha
Large language model as a catalyst: A paradigm shift in base station siting optimization
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Large language models for base station siting: Intelligent deployment based on prompt or agent
No full textMicrofluidic Separation of Tardigrade Hypsibius Dujardini from Raw Culture for On-Demand Sample Preparation
No full textGenome-wide identification, characterization, and functional analysis of the myb transcription factor family in chickpea (Cicer arietinum)
No full textModelling and identification of characteristic kinematic features preceding freezing of gait with convolutional neural networks and layer-wise relevance propagation
No full textBACKGROUND: Although deep neural networks (DNNs) are showing state of the art performance in clinical gait analysis, they are considered to be black-box algorithms. In other words, there is a lack of direct understanding of a DNN's ability to identify relevant features, hindering clinical acceptance. Interpretability methods have been developed to ameliorate this concern by providing a way to explain DNN predictions. METHODS: This paper proposes the use of an interpretability method to explain DNN decisions for classifying the movement that precedes freezing of gait (FOG), one of the most debilitating symptoms of Parkinson's disease (PD). The proposed two-stage pipeline consists of (1) a convolutional neural network (CNN) to model the reduction of movement present before a FOG episode, and (2) layer-wise relevance propagation (LRP) to visualize the underlying features that the CNN perceives as important to model the pathology. The CNN was trained with the sagittal plane kinematics from a motion capture dataset of fourteen PD patients with FOG. The robustness of the model predictions and learned features was further assessed on fourteen PD patients without FOG and fourteen age-matched healthy controls. RESULTS: The CNN proved highly accurate in modelling the movement that precedes FOG, with 86.8% of the strides being correctly identified. However, the CNN model was unable to model the movement for one of the seven patients that froze during the protocol. The LRP interpretability case study shows that (1) the kinematic features perceived as most relevant by the CNN are the reduced peak knee flexion and the fixed ankle dorsiflexion during the swing phase, (2) very little relevance for FOG is observed in the PD patients without FOG and the healthy control subjects, and (3) the poor predictive performance of one subject is attributed to the patient's unique and severely flexed gait signature. CONCLUSIONS: The proposed pipeline can aid clinicians in explaining DNN decisions in clinical gait analysis and aid machine learning practitioners in assessing the generalization of their models by ensuring that the predictions are based on meaningful kinematic features.status: Publishe
A Low-Profile Phase Correcting Solution to Improve Directivity of Horn Antenna
No full textIn this paper, we present a phase-corrected horn antenna with improved directivity. An increase in the horn aperture size results in a significantly non-uniform phase distribution contributing to the poor radiation characteristics. A low-profile phase correction surface (PCS) is therefore designed to address this problem. Significant improvement has been achieved in the horn antenna performance by placing the proposed PCS right at the mouth of the horn. The near-field transformation method is applied to demonstrate an improvement of 10 dBi in the peak directivity at the operating frequency of 11 GHz. This feature can be extended to manipulate the far-field pattern of horn and even for beam steering applications
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