After briefly mentioning the historical background of PLL/SRL, we examine PRISM, a logic-based modeling language, as an instance of PLL/SRL research. We first look at the distribution semantics, PRISM’s semantics, which defines a probability measure on a set of possible Herbrand models. We then mention characteristic features of PRISM as a tool for probabilistic modeling.

Self-Regulated Learning (SRL) is an important process for students' independence and thus their academic development, especially with the increase of knowledge emergence technology. Although SRL may not develop naturally, fortunately, it can be taught learned. Therefore, role teachers in this regard. This descriptive study aimed to reveal level general special education teachers’ self-efficacy ...

BACKGROUND The metabolic syndrome (MS) is an important risk factor for graft dysfunction and patient death after renal transplantation. The aim of this sub-analysis of the Symphony study was to assess the progression of the laboratory parameters associated with MS in the first year after transplantation. METHODS Data collected from the Symphony study were used; 1645 patients were randomized t...

In this demonstration we showcase PIKES, a Semantic Role Labeling (SRL)-powered approach for Knowledge Extraction. PIKES implements a rule-based strategy that reinterprets SRL output in light of other linguistic analyses, such as dependency parsing and co-reference resolution, thus properly capturing and formalizing in RDF important linguistic aspects such as argument nominalization, frame-fram...

The Shigella resistance locus (SRL) pathogenicity island (PAI) in Shigella spp. mediates resistance to streptomycin, ampicillin, chloramphenicol, and tetracycline. It can be excised from the chromosome via site-specific recombination mediated by the P4-related int gene. Here, we show that SRL PAI attP is capable of RecA-independent, site-specific, int-mediated integration into two bacterial tRN...

We investigate mutual benefits between syntax and semantic roles using neural network models, by studying a parsing→SRL pipeline, a SRL→parsing pipeline, and a simple joint model by embedding sharing. The integration of syntactic and semantic features gives promising results in a Chinese Semantic Treebank, demonstrating large potentials of neural models for joint parsing and semantic role label...

A loader is a systems program used by an operating system (OS) to load a binary executable file onto memory to execute it. The internal format of a binary executable file is called the binary-file format (BFF); this format is dependent on the OS and the particular computer architecture it runs on. Traditionally, when developing machine-code manipulation tools such as binary translators and disa...

In this paper we present CELI's participation in Evalita 2011 FLaIT task. Based on Markov model reasoning, our system obtained the highest precision in comparison to the other participants.

ROBUST SEMANTIC ROLE LABELING USING PARSING VARIATIONS AND SEMANTIC CLASSES Szu-ting Yi Martha Stone Palmer Correctly identifying semantic entities and successfully disambiguating the relations between them and their predicates is an important and necessary step for successful natural language processing applications, such as text summarization, question answering, and machine translation. Rese...