The syntactic realisation of complex events and complex predicates in situations of Irish

Author(s):  
Brian Nolan
Author(s):  
Sanjay Chhataru Gupta

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.


2021 ◽  
Author(s):  
Parsoa Khorsand ◽  
Fereydoun Hormozdiari

Abstract Large scale catalogs of common genetic variants (including indels and structural variants) are being created using data from second and third generation whole-genome sequencing technologies. However, the genotyping of these variants in newly sequenced samples is a nontrivial task that requires extensive computational resources. Furthermore, current approaches are mostly limited to only specific types of variants and are generally prone to various errors and ambiguities when genotyping complex events. We are proposing an ultra-efficient approach for genotyping any type of structural variation that is not limited by the shortcomings and complexities of current mapping-based approaches. Our method Nebula utilizes the changes in the count of k-mers to predict the genotype of structural variants. We have shown that not only Nebula is an order of magnitude faster than mapping based approaches for genotyping structural variants, but also has comparable accuracy to state-of-the-art approaches. Furthermore, Nebula is a generic framework not limited to any specific type of event. Nebula is publicly available at https://github.com/Parsoa/Nebula.


1998 ◽  
Vol 31 (4) ◽  
pp. 357-372
Author(s):  
Robert K. Shelly ◽  
David G. Wagner
Keyword(s):  

Probus ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Silvia Sánchez Calderón

Abstract This work analyzes the acquisition of simple and complex constructions in Spanish monolingual children’s data. It examines the emergence and the role played by adult input in child production of simple monotransitive constructions when compared to two types of complex predicates that undergo dative alternation (DA), namely, a/para-datives and dative-clitic doubled (DCLD) structures. In order to shed light on these issues, we have analyzed data from Spanish monolingual children and from the adults that they interact with, as available in CHILDES (MacWhinney, Brian. 2000. The CHILDES project: Tools for analyzing talk [Dataset], 3rd edn. Mahwah: Lawrence Erlbaum. http://childes.talkbank.org (accessed 20 October 2019)). The results show that there is an order in the onset of simple and complex predicate constructions, as reflected in the earlier emergence of monotransitives when compared to DA constructions. The latter also show a subsequent order of first occurrence, namely, DCLDs before a/para-datives. Thus, the degree of syntactic complexity seems to have played a role in the acquisition of simple and complex constructions, as measured by the number of Case assignment relations between the verb and its internal argument(s). Moreover, the differences in the Spanish monolingual children’s incidence of the three structures under analysis do not appear to be explained by the relative frequency of exposure in the adult input.


Author(s):  
Yanbin Hao ◽  
Zi-Niu Liu ◽  
Hao Zhang ◽  
Bin Zhu ◽  
Jingjing Chen ◽  
...  

2021 ◽  
Vol 46 (4) ◽  
pp. 1-49
Author(s):  
Alejandro Grez ◽  
Cristian Riveros ◽  
Martín Ugarte ◽  
Stijn Vansummeren

Complex event recognition (CER) has emerged as the unifying field for technologies that require processing and correlating distributed data sources in real time. CER finds applications in diverse domains, which has resulted in a large number of proposals for expressing and processing complex events. Existing CER languages lack a clear semantics, however, which makes them hard to understand and generalize. Moreover, there are no general techniques for evaluating CER query languages with clear performance guarantees. In this article, we embark on the task of giving a rigorous and efficient framework to CER. We propose a formal language for specifying complex events, called complex event logic (CEL), that contains the main features used in the literature and has a denotational and compositional semantics. We also formalize the so-called selection strategies, which had only been presented as by-design extensions to existing frameworks. We give insight into the language design trade-offs regarding the strict sequencing operators of CEL and selection strategies. With a well-defined semantics at hand, we discuss how to efficiently process complex events by evaluating CEL formulas with unary filters. We start by introducing a formal computational model for CER, called complex event automata (CEA), and study how to compile CEL formulas with unary filters into CEA. Furthermore, we provide efficient algorithms for evaluating CEA over event streams using constant time per event followed by output-linear delay enumeration of the results.


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