Beneath the tip of the iceberg: Current challenges and new directions in sentiment analysis research
Sentiment analysis as a field has come a long way since it was first introduced as a task
nearly 20 years ago. It has widespread commercial applications in various domains like …
nearly 20 years ago. It has widespread commercial applications in various domains like …
Calliope: Automatic visual data story generation from a spreadsheet
Visual data stories shown in the form of narrative visualizations such as a poster or a data
video, are frequently used in data-oriented storytelling to facilitate the understanding and …
video, are frequently used in data-oriented storytelling to facilitate the understanding and …
Logic-consistency text generation from semantic parses
Text generation from semantic parses is to generate textual descriptions for formal
representation inputs such as logic forms and SQL queries. This is challenging due to two …
representation inputs such as logic forms and SQL queries. This is challenging due to two …
A character-centric neural model for automated story generation
Automated story generation is a challenging task which aims to automatically generate
convincing stories composed of successive plots correlated with consistent characters. Most …
convincing stories composed of successive plots correlated with consistent characters. Most …
KGCDP-T: Interpreting knowledge graphs into text by content ordering and dynamic planning with three-level reconstruction
Abstract Knowledge graph-to-text (KG-to-text) interpretation is employed to interpret given
KG into semantically coherent and logically reasonable text to enhance the applicability of …
KG into semantically coherent and logically reasonable text to enhance the applicability of …
Grier: graph repairing based on iterative embedding and rules
C Ye, H Xu, H Zhang, Y Wu, G Dai - Knowledge and Information Systems, 2023 - Springer
Identifying and repairing the erroneous and missing information in the graphs is crucial.
Rule-based studies rely on graph quality rules to detect the inconsistencies among different …
Rule-based studies rely on graph quality rules to detect the inconsistencies among different …
Graph-based natural language processing for the pharmaceutical industry
A Dumitriu, C Molony, C Daluwatte - … in Data Science: From Data Models …, 2020 - Springer
Text data in digital format (eg, physician's notes, pathology reports, notes accompanying
radiographic images, operational notes, text from digital content) are a commonly …
radiographic images, operational notes, text from digital content) are a commonly …
What Really Matters in a Table? Insights from a User Study
Better understanding human visual attention during reading can provide valuable insights
for developing user-centred computations models. A considerable amount of data …
for developing user-centred computations models. A considerable amount of data …
Computational Argumentation Approaches to Improve Sensemaking and Evidence-based Reasoning in Online Deliberation Systems
L Anastasiou - 2023 - oro.open.ac.uk
Deliberation is the process through which communities identify potential solutions for a
problem and select the solution that most effectively meets their diverse requirements …
problem and select the solution that most effectively meets their diverse requirements …
CreatAIlity: A collaborative storytelling framework for fostering children's narrative creativity based on Large Language Models.
A Dervazi Carvalho - 2024 - riunet.upv.es
[EN] The project aims to establish a collaborative storytelling framework to nurture children's
creativity, consisting of two primary phases: theoretical exploration and practical …
creativity, consisting of two primary phases: theoretical exploration and practical …