نتایج جستجو برای: relevance based language models
تعداد نتایج: 3883993 فیلتر نتایج به سال:
The aim of GUCAS’s participation in the Microblog track this year is to evaluate the effectiveness of probabilistic retrieval models in combination with various sources of evidence for relevance in the context of the Twitter corpus. In our official runs, we use the PL2F field-based model as the baseline, on top of which query expansion is also applied. In addition, a supplement model combining ...
The introduction of learning technologies into education is making the design of courses and instructional materials an increasingly complex task. Instructional design languages are identified as conceptual tools for achieving more standardized and, at the same time, more creative design solutions, as well as enhancing communication and transparency in the design process. In this article we dis...
Model Based System Engineering (MBSE) is an engineering approach based on creating, analyzing and manipulating various models. This requires first Design Specific Modeling Languages (DSML) definition. Second, it is important to ensure models’ quality in terms of construction (models are correctly built) and of relevance for reaching design objectives (some of stakeholder’s requirements can be c...
The introduction and ever-growing size of the transformer deep-learning architecture have had a tremendous impact not only in field natural language processing but also other fields. transformer-based models contributed to renewed interest commonsense knowledge due abilities deep learning models. Recent literature has focused on analyzing embedded within pre-trained parameters these embedding m...
We develop a general framework for weighted parsing which is built on top of grammar-based language models and employs multioperator monoids (M-monoids) as weight algebras. It generalizes previous work in that area, e.g., semiring deductive parsing, also covers applications outside the classical scope algebraic dynamic programming. More specifically, we introduce RTG-based (where RTG stands reg...
in treating the subject of musical language, a persian musician would be intrinsically drawn to the structural similarities between the persian music and language. indeed persian music and language are extremely related in their metrics, intonations and structural phrases (syntax). although we will draw upon this relationship, our aim in this article is to present “music as a language,” consist...
GMM is one of the most successful models in the field of automatic language identification. In this paper we have proposed a new model named adapted weight GMM (AW-GMM). This model is similar to GMM but the weights are determined using GMM-VSM LID system based on the power of each component in discriminating one language from the others. Also considering the computational complexity of GMM-VSM,...
Introduction: Predicting acute respiratory insufficiency due to coronavirus disease 2019 (COVID-19) can diminish the severe complications and mortality associated with the disease. This study aimed to develop an intelligent system based on machine learning (ML) models for frontline clinicians to effectively triage high-risk patients and prioritize who needs mechanical intubation (MI). Material...
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