الصفحة 1
الصفحة 1
Existence: Semantics and Syntax
This collection is an important contribution to the semantic and syntactic analysis of the expression of existence. The volume focuses on the three main linguistic constructions expressing existence: copular clauses, existential sentences, and (in)definiteness. The papers analyze the interaction between the basic notion of existence and pervasive phenomena of natural language, such as quantification and presupposition. The contributions represent state of the art research on theoretical and comparative issues related to the expression of existence, and make extensive reference to the semantic and syntactic facts of English and of various other languages. The richness of new data and the juxtaposition of different theoretical stances bring a number of new questions into focus.
Drugs and a methodological compendium : From bench to bedside
Provides a meticulous view on methodological drug discovery and development insights from bench to bedside. Focus on computational modus operandi, pharmacological optimization approaches, modern high-throughput screening methods and in-vitro procedures, role of structural biologists in drug discovery and development, medicinal chemistry approaches for drug design, formulation and drug delivery, in-vivo evaluations of candidate molecules, clinical trial procedures and others. Covers specific case studies, regulatory approval proceedings, and industrial view point alongside the aforementioned conceptual layout. And at the same time, the volume integrates medical, biological, medicinal, pharmacological and computational streams, and it is suggested as an ideal guideline to a wide audience including molecular biologists, biochemist, pharmacologists, medicinal chemist, toxicologists, drug discovery and development researchers, and all other students interested in these disciplines.
Deep learning approach for text summarization
Machine learning and deep learning, as we know, have started ruling over almost every field in the computing industry and so, has revolutionized the process of text summarization too. Automatic text summarization is an advancing realm of the natural language processing research in which concise textual summaries are generated from lengthy input documents. Extensive research has been carried out on how automatic summarization can be prosecuted through various extractive and abstractive techniques. In this paper, we address all the approaches to text summarization and present the modus operandi of an Architecture called Encoder Decoder, under the machine learning approach.
Aspectual Inquiries
The papers in this volume represent the results of a workshop on the syntax, semantics and acquisition of aspect held in 2002 whose purpose was to foment active cross-disciplinary communication. A number of the papers examine the syntactic representation of lexical or situation aspect, while others focus on the syntactic interaction of lexical aspect with grammatical aspect, and of grammatical aspect and tense. Other papers examine the role of aspect in discourse representations, while a third group of papers reports on results of empirical studies on the acquisition of aspect in both first and second language acquisition, and patterns of loss of morphosyntactic reflexes of aspect in language attrition.
