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Unsupervised Context-Driven Question Answering Based on Link Grammar
While general conversational intelligence (GCI) can be considered one of the core aspects of artificial general intelligence (AGI), there currently... -
Generative Grammar Based on Arithmetic Operations for Realtime Composition
Mathematical sequences in \(\mathbb {N}_0\)... -
Algorithms for Matching Strings with Fuzzy Context-Free and Automata Patterns
AbstractThis paper is devoted to determining the degree of compliance of a given string with a pattern represented as a grammar, the terminal symbols...
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Neural network-based error handler in natural language processing
Grammar checking is one of the important applications of Natural Language Processing. Though the work in this area has been started decades before,...
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On the Generalizability of Programs Synthesized by Grammar-Guided Genetic Programming
Grammar-guided Genetic Programming is a common approach for program synthesis where the user’s intent is given by a set of input/output examples. For... -
Formalizing Predicates for Discovery Under the Lexicon Grammar Framework
This text proposes a method for automatic analysis of predicates for discovery (PD) in Spanish. A PD is a predicative unit that projects an argument... -
A New Action Meta-model and Grammar for a DEMO Based Low-Code Platform Rules Processing Engine
We consider current Design and Engineering Methodology for Organizations (DEMO) Action Rules Specification to be unnecessarily complex and ambiguous.... -
Evolutionary Grammar-Based Fuzzing
A fuzzer provides randomly generated inputs to a targeted software to expose erroneous behavior. To efficiently detect defects, generated inputs... -
Question generation model based on key-phrase, context-free grammar, and Bloom’s taxonomy
Automated question generation is a task to generate questions from structured or unstructured data. The increasing popularity of online learning in...
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On the Transformation of LL(k)-linear to LL(1)-linear Grammars
It is proved that every LL( k )-linear grammar can be transformed to an equivalent LL(1)-linear grammar. The transformation incurs a blow-up in the...
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Automatic Grammar Correction of Commas in Czech Written Texts: Comparative Study
The task of grammatical error correction is a widely studied field of natural language processing where the traditional rule-based approaches compete... -
Sharif-TaaWS: a tool to automate unit testing of web services
Service-Oriented Architecture is a technology for designing software systems. Upon using this architecture, new challenges appeared for software...
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A Morphological Grammar for Modern Greek: State of the Art, Evaluation and Upgrade
The objective of this paper is six-fold. First, a brief review of the state of the art of the Greek NooJ Module is outlined, in which the need for... -
Linguistics-based formalization of the antibody language as a basis for antibody language models
Apparent parallels between natural language and antibody sequences have led to a surge in deep language models applied to antibody sequences for...
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GenerativeGI: creating generative art with genetic improvement
Generative art is a domain in which artistic output is created via a procedure or heuristic that may result in digital and/or physical results. A...
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Impact of textual enhancement and input processing on syntactic development of EFL university students in Kuwait
This research investigated the consequence of textual enhancement and input processing on develo** EFL university learners' linguistic development....
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A graph grammar and \(K_{4}\)-type tournament-based approach to detect conflicts of interest in a social network
In this paper, we introduce a new approach based on properties of graph grammars to detect conflicts of interest (COIs) in a field represented in the...
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Grammar Based Computing: A New Paradigm for Solving Real Life Problems
A computer is very useful device in solving real life problems. However due to limited storage and processing power, it can not handle problems... -
Blended Grammar Network for Human Parsing
Although human parsing has made great progress, it still faces a challenge, i.e., how to extract the whole foreground from similar or cluttered...