The gradual erosion of NPI-hood with need verbs in Germanic

This talk addresses the puzzle why there are different ˋneed' verbs in Germanic languages, which all are lexically polysemous and which all display some extent of negative polar behaviour. Whereas all the uses of Dutch ˋhoeven' are negative polar, Modern Swedish ˋbehöva' is mostly distributionally unrestricted and only in its epistemic uses negative polar. Data suggest that this is a result of a gradual erosion of NPI-hood. The diverging behaviour of ˋneed'-verbs in Germanic languages can be most accurately managed assuming that lexical polysemy involves type hierarchy in which the different uses inherit from an abstract entry that defines semantics all these uses share. Moreover, it is concluded that if there is an NPI feature it is mandatorily inherited to all to its descendants. In languages such as Dutch this feature has scope over all uses, in languages such as Modern Swedish. it only bears scope over the epistemic uses.

Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing

Fine-grained entity typing (FET) aims to annotate the entity mentions in a sentence with fine-grained type labels. It brings plentiful semantic information for many natural language processing tasks. Existing FET approaches apply hard attention to learn on the noisy labels, and ignore that those noises have structured hierarchical dependency. Despite their successes, these FET models are insufficient in modeling type hierarchy dependencies and handling label noises. In this paper, we directly tackle the structured noisy labels by combining a forward tree module and a backward tree module. Specifically, the forward tree formulates the informative walk that hierarchically represents the type distributions. The backward tree models the erroneous walk that learns the noise confusion matrix. Empirical studies on several benchmark data sets confirm the effectiveness of the proposed framework.

Cell Type Hierarchy Reconstruction via Reconciliation of Multi-resolution Cluster Tree

A wealth of clustering algorithms are available for Single-cell RNA sequencing (scRNA-seq), but it remains challenging to compare and characterize the features across different scales of resolution. To resolve this challenge Multi-resolution Reconciled Tree (MRtree), builds a hierarchical tree structure based on multi-resolution partitions that is highly flexible and can be coupled with most scRNA-seq clustering algorithms. MRtree out-performs bottom-up or divisive hierarchical clustering approaches because it inherits the robustness and versatility of a flat clustering approach, while maintaining the hierarchical structure of cells. Application to fetal brain cells yields insight into subtypes of cells that can be reliably estimated.

Boundaries at play

Summary In this paper, we model the left-bounded state reading and the true reflexive reading of the se clitic in the Spanish psychological domain. We argue that a lexical analysis of se provides us with a more accurate description of the different classes of psychological verbs that occur with the clitic. We provide a unified analysis where the use of the two readings of se are modeled by means of lexical rules. We take the morphologically simple but semantically more complex basic items (e.g. asustar ‘frighten’) as input of the lexical rules, getting as the output a morphologically more complex but semantically simpler verb (e.g asustarse ‘get frightened’). The analysis for psych verbs correctly allows only those verbs assigning accusative to the experiencer or the stimulus to combine with se, hence preventing dative verbs from entering the lexical rules. The analysis also demonstrates how to account for punctual and non-punctual readings of psych verbs with se incorporating ‘boundaries’ into the type hierarchy of eventualities.

Challenges in Kazakh Auxiliary Selection

This paper proposes an account for the four auxiliaries in Kazakh that express the imperfective aspect. The main factors – the auxiliary, the main verb, their inflections and the aspectual specifications reveal a complicated system, which can be captured with an appropriate monotonic, multiple inheritance type hierarchy using online-type construction with the implementation of Pāṇinian competition. This analysis sheds light to a very different auxiliary system that we find in Indo-European languages.

The significance of typography in data visualisation

With the development of technology and the dominance of the digital world, typography has become a critical issue. Information design systems are considered as one of the significant areas of graphic design. Big data provides important information on data visualisation. While presenting this information, the value that the script adds to the design will be examined in this study. The choice of typefaces, leading and kerning in typography, type hierarchy, harmony, balance, unity, the contrast between the visual elements and typography are the critical components of data visualisation. ‘Communication designers often err on the side of providing features that entertain and visually please audience's ability to receive or understand the message, in the hope that messages will be understood because they are associated with appealing features. Although designers often concentrate on visuals and aesthetics, at other times they hope to attract viewers by focusing clearly on valuable content. But too often both approaches impair the audience's ability to receive or understand the message’. In support of what Jacobson mentioned above in his book titled Information Design, this study aims to emphasise the undeniable importance of typography in data visualisation designed for informative purposes. Keywords: Typography, design, data visualisation

Understanding spheres of influence in international politics

Spheres of influence remain one of the most pervasive phenomena in the practice and history of international relations, yet only rarely have they been taken up analytically. To bring conceptual and discursive clarity, this article advances two arguments. First, it argues that spheres of influence are not a distinct form of hierarchy in international relations, but rather practices of control and exclusion that can be found within any ideal-type hierarchy. Second, these hierarchical practices are generally underspecified by those invoking the term. Different theoretical perspectives on international relations offer highly divergent ways of understanding control and exclusion, and all do so with plausible empirical mooring. Spheres of influence do not themselves denote a form of governance even if it does a form of order construction and maintenance. Any given empire, hegemonic order, or alliance may also be a sphere of influence depending on the practices that occur; the key is not to identify whether particular hierarchical traits are dispositive of one of these relational structures, but rather whether, and the extent to which, assertions of control and exclusion define the hierarchy.

scClassify: hierarchical classification of cells

Cell type identification is a key computational challenge in single-cell RNA-sequencing (scRNA-seq) data. To capitalize on the large collections of well-annotated scRNA-seq datasets, we present scClassify, a hierarchical classification framework based on ensemble learning. scClassify can identify cells from published scRNA-seq datasets more accurately and more finely than in the original publications. We also estimate the cell number needed for accurate classification anywhere in a cell type hierarchy.