Scholar's Hub | Semantic Scholar
Semantic Scholar's Picks Theme-based paper lists curated by our own research team. By curating these theme-based paper collections, we aim to promote equal access to science and start conversations …
Semantic Scholar | AI-Powered Research Tool
Semantic Scholar uses groundbreaking AI and engineering to understand the semantics of scientific literature to help Scholars discover relevant research.
Use of semantic technologies for the development of a dynamic trajectories generator in a…
ChemgaPedia is a multimedia, webbased eLearning service platform that currently contains about 18.000 pages organized in 1.700 chapters covering the complete bachelor studies in chemistry and related topics of chemistry, pharmacy, and life sciences....
Using Semantic Wikis for Structured Argument in Medical Domain
This research applies ideas from argumentation theory in the context of semantic wikis, aiming to provide support for structured-large scale argumentation between human agents. The implemented prototype is exemplified by modelling the MMR vaccine con...
Using Soft Constraints To Learn Semantic Models Of Descriptions Of Shapes
The contribution of this paper is to provide a semantic model (using soft constraints) of the words used by web-users to describe objects in a language game; a game in which one user describes a selected object of those composing the scene, and anoth...
SPARQL in N3: SPARQL CONSTRUCT as a rule language for the Semantic Web (Extended Version)
Reasoning in the Semantic Web (SW) commonly uses Description Logics (DL) via OWL2 DL ontologies, or SWRL for variables and Horn clauses. The Rule Interchange Format (RIF) offers more expressive rules but is defined outside RDF and rarely adopted. For...
Aligning Packed Dependency Trees: a theory of composition for distributional semantics
We present a new framework for compositional distributional semantics in which the distributional contexts of lexemes are expressed in terms of anchored packed dependency trees. We show that these structures have the potential to capture the full sen...
Toward Semantic Interoperability of Electronic Health Records
Although the goal of achieving semantic interoperability of electronic health records (EHRs) is pursued by many researchers, it has not been accomplished yet. In this paper, we present a proposal that smoothes out the way toward the achievement of th...
github/semantic
Parsing, analyzing, and comparing source code across many languages (⭐ 9053)
The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing
In this work, we analyse the role of output vocabulary for text-to-text (T2T) models on the task of SPARQL semantic parsing. We perform experiments within the the context of knowledge graph question answering (KGQA), where the task is to convert ques...
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation
The booming of 3D recognition in the 2020s began with the introduction of point cloud transformers. They quickly overwhelmed sparse CNNs and became state-of-the-art models, especially in 3D semantic segmentation. However, sparse CNNs are still valuab...
Using Page Size for Controlling Duplicate Query Results in Semantic Web
Semantic web is a web of future. The Resource Description Framework (RDF) is a language to represent resources in the World Wide Web. When these resources are queried the problem of duplicate query results occurs. The present techniques used hash ind...
Event Search and Analytics: Detecting Events in Semantically Annotated Corpora for Search…
In this article, I present the questions that I seek to answer in my PhD research. I posit to analyze natural language text with the help of semantic annotations and mine important events for navigating large text corpora. Semantic annotations such a...
Acquiring Word-Meaning Mappings for Natural Language Interfaces
This paper focuses on a system, WOLFIE (WOrd Learning From Interpreted Examples), that acquires a semantic lexicon from a corpus of sentences paired with semantic representations. The lexicon learned consists of phrases paired with meaning...
Exploiting Network Structures to Improve Semantic Representation for the Financial Domain
This paper presents the participation of the MiniTrue team in the FinSim-3 shared task on learning semantic similarities for the financial domain in English language. Our approach combines contextual embeddings learned by transformer-based language m...
Semantic-Org/UI-Sidebar
A sidebar hides additional content beside a page. (⭐ 13)
Use of OWL and Semantic Web Technologies at Pinterest
Pinterest is a popular Web application that has over 250 million active users. It is a visual discovery engine for finding ideas for recipes, fashion, weddings, home decoration, and much more. In the last year, the company adopted Semantic Web techno...
Terminal semantics for codata types in intensional Martin-Löf type theory
In this work, we study the notions of relative comonad and comodule over a relative comonad, and use these notions to give a terminal coalgebra semantics for the coinductive type families of streams and of infinite triangular matrices, respectively,...
Semantic RGB-D Image Synthesis
Collecting diverse sets of training images for RGB-D semantic image segmentation is not always possible. In particular, when robots need to operate in privacy-sensitive areas like homes, the collection is often limited to a small set of locations. As...
Leveraging Large Language Models for Semantic Query Processing in a Scholarly Knowledge Gr…
The proposed research aims to develop an innovative semantic query processing system that enables users to obtain comprehensive information about research works produced by Computer Science (CS) researchers at the Australian National University (ANU)...