Results 71 to 80 of about 9,504,350 (389)
Combining Semantic Wikis and Controlled Natural Language [PDF]
, 2008 We demonstrate AceWiki that is a semantic wiki using the controlled natural language Attempto Controlled English (ACE). The goal is to enable easy creation and modification of ontologies through the web.
Kuhn, Tobias
core +3 more sources
Could a Conversational AI Identify Offensive Language?
Information, 2021 In recent years, we have seen a wide use of Artificial Intelligence (AI) applications in the Internet and everywhere. Natural Language Processing and Machine Learning are important sub-fields of AI that have made Chatbots and Conversational AI ...
Daniela America da Silva +6 more
doaj +1 more source
Science Progress, 2006 Sentences share with equations properties of discrete, linear infinities; distinct symbol types; alternation of symbol types in the signal; deep-structure with a main verb and recursion; associative, commutative, and distributive properties; autonomous levels of organization; paraphrase, ellipsis, and ambiguity; powers of assertion, truth and falsity;
openaire +3 more sources
Natural Language Ontology [PDF]
, 2017 Natural language ontology is a branch of both metaphysics and linguistic semantics. Its aim is to uncover the ontological categories, notions, and structures that are implicit in the use of natural language, that is, the ontology that a speaker accepts when using a language.
openaire +5 more sources
Systematic Machine Translation of Social Network Data Privacy Policies
Applied Sciences, 2022 With the growing popularity of online social networks, one common desire of people is to use of social networking services for establishing social relations with others.
Irfan Khan Tanoli +3 more
doaj +1 more source
Reevaluating Adversarial Examples in Natural Language
, 2020 State-of-the-art attacks on NLP models lack a shared definition of a what constitutes a successful attack. We distill ideas from past work into a unified framework: a successful natural language adversarial example is a perturbation that fools the model ...
Ji, Yangfeng +4 more
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A Novel Framework for Multi-Document Temporal Summarization (MDTS)
Emerging Science Journal, 2021 Internet or Web consists of a massive amount of information, handling which is a tedious task. Summarization plays a crucial role in extracting or abstracting key content from multiple sources with its meaning contained, thereby reducing the complexity ...
Kishore Kumar Mamidala +1 more
doaj +1 more source
Multi-Task Deep Neural Networks for Natural Language Understanding [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 In this paper, we present a Multi-Task Deep Neural Network (MT-DNN) for learning representations across multiple natural language understanding (NLU) tasks.
Xiaodong Liu +3 more
semanticscholar +1 more source
Natural Language to Code: How Far Are We?
ESEC/SIGSOFT FSE, 2023 A longstanding dream in software engineering research is to devise effective approaches for automating development tasks based on developers' informally-specified intentions. Such intentions are generally in the form of natural language descriptions.
Shangwen Wang +9 more
semanticscholar +1 more source
Adversarial Generation of Natural Language
, 2017 Generative Adversarial Networks (GANs) have gathered a lot of attention from the computer vision community, yielding impressive results for image generation.
Courville, Aaron +4 more
core +1 more source