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An optimizing compiler for lexically scoped LISP
ACM SIGPLAN Notices, 1982We are developing an optimizing compiler for a dialect of the LISP language. The current target architecture is the S-I, a multiprocessing supercomputer designed at Lawrence Livermore National Laboratory. While LISP is usually thought of as a language primarily for symbolic processing and list manipulation, this compiler is also intended to compete ...
Rodney A. Brooks +2 more
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2021 IEEE World AI IoT Congress (AIIoT), 2021
This document showcases the attributes of an efficient legal database that intends at presenting not only a content explanation form for legal description but also a tool for accessing different departmental as well as similar information data and ...
AbirTarique Hridoy +3 more
semanticscholar +1 more source
This document showcases the attributes of an efficient legal database that intends at presenting not only a content explanation form for legal description but also a tool for accessing different departmental as well as similar information data and ...
AbirTarique Hridoy +3 more
semanticscholar +1 more source
Optimality-Theoretic Lexical Mapping Theory
International Journal of Technology and Human Interaction, 2006Locative inversion verbs seem to share the same argument structure and grammatical function assignment (i.e., ) cross-linguistically. This article discusses the nature of argument-function linking in LFG and demonstrates how the Lexical Mapping Theory (LMT) rendered in Optimality-Theoretic (OT) terms, where argument-function linking is governed by ...
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Input Optimization and Lexical Stress in English
2023This chapter examines English main stress from the perspective of Input Optimization (Hammond, 2013; 2014; 2016; 2017). The claim of that framework is that phonological configurations exhibit a frequency distribution that reflects their markedness, as measured by Optimality Theory violations.
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A General Framework to Boost 3D GS Initialization for Text-to-3D Generation by Lexical Richness
ACM MultimediaText-to-3D content creation has recently received much attention, especially with the prevalence of 3D Gaussians Splatting (3D GS). In general, GS-based methods comprise two key stages: initialization and rendering optimization. To achieve initialization,
Lutao Jiang, Hangyu Li, Lin Wang
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Sarcasm Detection using Genetic Optimization on LSTM with CNN
2020 International Conference for Emerging Technology (INCET), 2020The challenging problem of 21st Century is to detect sarcasm in vivid data available on a large scale. Over 20 years of study in this field, the past 10 years have shown a significant progress not only in semantic features, but also an upward trend has ...
Darkunde Mayur Ashok +4 more
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Bayesian Optimization With Tree Ensembles to Improve Depression Screening on Textual Datasets
IEEE Transactions on Affective ComputingImproving digital depression screening is important for combating the global mental health crisis. Textual data are promising for depression screening due to their many origins, but the variety presents screening challenges.
Ting Zhao, M. Tlachac
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MiniELM: A Lightweight and Adaptive Query Rewriting Framework for E-Commerce Search Optimization
Annual Meeting of the Association for Computational LinguisticsQuery rewriting (QR) is a critical technique in e-commerce search, addressing the lexical gap between user queries and product descriptions to enhance search performance.
Duy A. Nguyen +4 more
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Optimal parenthesization of lexical orderings for DSP block diagrams
VLSI Signal Processing, VIII, 2002Minimizing memory requirements for program and data are critical objectives when synthesizing software for embedded DSP applications. Previously, it has been demonstrated that for graphical programs based on the widely-used synchronous dataflow model an important class of minimum code size implementations can be viewed as parenthesizations of lexical ...
S.S. Bhattacharyya +2 more
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Journal of Information Systems Engineering & Management
Traditional keyword-based information retrieval (IR) systems while effective for exact term matching, often fail to capture semantic meaning, leading to suboptimal relevance especially for complex queries.
Anant Manish Singh +5 more
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Traditional keyword-based information retrieval (IR) systems while effective for exact term matching, often fail to capture semantic meaning, leading to suboptimal relevance especially for complex queries.
Anant Manish Singh +5 more
semanticscholar +1 more source