structured data

DataFunTalk

Mar 7, 2024 · Artificial Intelligence

Integrating Large Language Models with Knowledge Graphs: Current Status and Future Directions

Large language models enhance human‑machine interaction and natural language understanding, but knowledge graphs remain essential for structured, low‑cost decision making, factual retrieval, and domains like finance; combining both can improve conversational systems, while ongoing challenges in knowledge graph construction persist, as highlighted for the upcoming DataFunSummit2024.

AI integrationconversational AIknowledge graph

0 likes · 5 min read

Integrating Large Language Models with Knowledge Graphs: Current Status and Future Directions

Airbnb Technology Team

Jan 31, 2024 · Artificial Intelligence

Airbnb’s Listing Attribute Extraction Platform (LAEP): End-to-End Structured Information Extraction Using Machine Learning and NLP

Airbnb’s Listing Attribute Extraction Platform (LAEP) uses a custom NER model, word‑embedding mapping, and a BERT‑based scorer to automatically pull, normalize, and validate structured attributes from hosts’ unstructured text, boosting coverage for downstream tools and enhancing guest‑host matching at scale.

AirbnbBERTMachine Learning

0 likes · 11 min read

Airbnb’s Listing Attribute Extraction Platform (LAEP): End-to-End Structured Information Extraction Using Machine Learning and NLP

DataFunTalk

Jun 17, 2023 · Artificial Intelligence

Research on Text Generation for Structured Data

This article reviews the rapidly evolving field of structured‑data text generation, covering AI development stages, core concepts, model architectures from pipeline to pretrained transformers, key challenges such as content selection, numeric representation, reasoning and style control, and outlines recent research directions and Q&A insights.

AInumeric reasoningpretrained models

0 likes · 21 min read

Research on Text Generation for Structured Data

DataFunSummit

Jul 16, 2022 · Artificial Intelligence

Data‑to‑Text Generation: Controllability, Reliability, and Planning Strategies

This article introduces data‑to‑text generation, discusses its task background, common datasets, structured data representations, explicit and implicit planning methods, model architectures such as RNN, Transformer and VAE, and compares the advantages and challenges of each approach.

AINatural Language Generationdata-to-text

0 likes · 16 min read

Data‑to‑Text Generation: Controllability, Reliability, and Planning Strategies

Laiye Technology Team

Dec 31, 2021 · Artificial Intelligence

Overview of Table Recognition Techniques and Practical Implementation

This article reviews the challenges of extracting structured table data from images, compares two‑stage and end‑to‑end OCR approaches, evaluates four state‑of‑the‑art table‑recognition models (SPLERGE, CascadeTabNet, TableMASTER, UnetTable), and presents a practical deployment workflow with performance metrics.

AIDeep LearningOCR

0 likes · 14 min read

Overview of Table Recognition Techniques and Practical Implementation

Xianyu Technology

May 14, 2019 · Frontend Development

Structured Layout Information and Guided Line Method for UI Component Detection

The paper presents a structured layout‑information framework combined with a guided‑line “leader‑follower” algorithm that represents UI controls as Connection objects and matches them via attribute and vector similarity, enabling fast identification of recurring business components and duplicate GridView items without extensive retraining, thereby enhancing code reuse in UI2CODE projects.

UI Automationcomponent detectionguided line method

0 likes · 9 min read

Structured Layout Information and Guided Line Method for UI Component Detection