Artificial Intelligence
Related Papers
On Reasoning by Default
This paper surveys a number of kinds of default reasoning in Artificial Intelligence, spec- ifically, default assignments to variables, the closed world assumption, the frame default for causal worlds, exceptions …...
Integration of Linguistic Markup into Semantic Models of Folk Narratives: The Fairy Tale Use Case
AbstractPropp's influential structural analysis of fairy tales created a powerful schema for representing storylines in terms of character functions, which is directly exploitable for computational semantic analysis, and procedural generation …...
The DARPA Machine Reading Program - Encouraging Linguistic and Reasoning Research with a Series of Reading Tasks
AbstractThe goal of DARPAs Machine Reading (MR) program is nothing less than making the worlds natural language corpora available for formal processing. Most text processing research has focused on locating …...
Generating Acrostics via Paraphrasing and Heuristic Search
We consider the problem of automatically paraphrasing a text in order to find an equivalent text that contains a given acrostic. A text contains an acrostic, if the first letters …...
Enhancing the AI2 Diagrams Dataset Using Rhetorical Structure Theory
This paper describes ongoing work on a multimodal resource based on the Allen Institute AI2 Diagrams (AI2D) dataset, which contains nearly 5000 grade-school level science diagrams that have been annotated …...
Biomedical Concept Relatedness – A large EHR-based benchmark
AbstractA promising application of AI to healthcare is the retrieval of information from electronic health records (EHRs), e.g. to aid clinicians in finding relevant information for a consultation or to …...
Does Gender Matter? Towards Fairness in Dialogue Systems
AbstractRecently there are increasing concerns about the fairness of Artificial Intelligence (AI) in real-world applications such as computer vision and recommendations. For example, recognition algorithms in computer vision are unfair …...
Language Model Transformers as Evaluators for Open-domain Dialogues
AbstractComputer-based systems for communication with humans are a cornerstone of AI research since the 1950s. So far, the most effective way to assess the quality of the dialogues produced by …...
Domain Adaptation for Hindi-Telugu Machine Translation Using Domain Specific Back Translation
AbstractIn this paper, we present a novel approachfor domain adaptation in Neural MachineTranslation which aims to improve thetranslation quality over a new domain. Adapting new domains is a highly challeng-ing …...
Discourse Markers as the Classificatory Factors of Speech Acts
Abstract“Since the debut of the speech act theory, the classification standards of speech acts have been in dispute. Traditional abstract taxonomies seem insufficient to meet the needs of artificial intelligence …...
plain X - AI Supported Multilingual Video Workflow Platform
AbstractThe plain X platform is a toolbox for multilingual adaptation, for video, audio, and text content. The software is a 4-in-1 tool, combining several steps in the adaptation process, i.e., …...
TCM-SD: A Benchmark for Probing Syndrome Differentiation via Natural Language Processing
Abstract“Traditional Chinese Medicine (TCM) is a natural, safe, and effective therapy that has spread and been applied worldwide. The unique TCM diagnosis and treatment system requires a comprehensive analysis of …...
A Survey of Deep Learning for Mathematical Reasoning
AbstractMathematical reasoning is a fundamental aspect of human intelligence and is applicable in various fields, including science, engineering, finance, and everyday life. The development of artificial intelligence (AI) systems capable …...