Information Extraction

AntTech

Aug 13, 2024 · Artificial Intelligence

Ant Group Contributions to ACL 2024: Summaries of 14 Accepted Papers Across NLP and AI

From August 11‑16, 2024 the ACL conference in Bangkok featured 14 Ant Group papers covering large‑scale information extraction, decomposed LLMs for semantic search, multimodal hallucination detection, long‑context attention mechanisms, concept‑reasoning datasets, knowledge‑graph alignment, and more, highlighting the group's breadth in natural language processing and AI research.

ACL2024Information ExtractionNLP

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Ant Group Contributions to ACL 2024: Summaries of 14 Accepted Papers Across NLP and AI

DataFunSummit

Jun 18, 2024 · Artificial Intelligence

Conditional and Multimodal Knowledge Graph Construction, Extraction, and Integration with Large Models

This article presents a comprehensive overview of conditional and multimodal knowledge graphs, covering their background, construction pipelines, extraction techniques, dataset creation, semi‑supervised learning strategies, and how they can be fused with large language models for enhanced reasoning and application in tasks such as intelligent QA and video scene graph generation.

AIInformation Extractionconditional KG

0 likes · 23 min read

Conditional and Multimodal Knowledge Graph Construction, Extraction, and Integration with Large Models

DataFunTalk

Jun 14, 2024 · Artificial Intelligence

Shopee's E‑commerce Knowledge Graph Construction and Integration with Large Models

This article presents Shopee's comprehensive exploration of building an e‑commerce knowledge graph, detailing its challenges, construction pipeline, AI‑driven extraction and fusion techniques, multilingual and multimodal modeling, and practical applications ranging from search and recommendation to AI assistants and real‑time updates.

AI applicationsInformation Extractione-commerce

0 likes · 21 min read

Shopee's E‑commerce Knowledge Graph Construction and Integration with Large Models

DataFunTalk

May 7, 2024 · Artificial Intelligence

Large Language Models and Knowledge Graphs: Recent Advances, Synergies, and Future Directions

This article reviews the rapid progress of large language models, compares them with knowledge graphs, explores how LLMs can aid knowledge extraction and completion, discusses how knowledge graphs can evaluate and enhance LLMs, and outlines future interactive integration between the two technologies.

AIEvaluationInformation Extraction

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Large Language Models and Knowledge Graphs: Recent Advances, Synergies, and Future Directions

Rare Earth Juejin Tech Community

Feb 23, 2024 · Artificial Intelligence

Using ChatGPT for Dialogue Information Extraction: Prompt Design and Workflow

This article demonstrates how to leverage ChatGPT to automatically extract structured key information from conversational text by defining input keywords, crafting effective prompts, testing iterative refinements, and integrating the process into a Coze workflow that outputs clean JSON data.

AIAutomationChatGPT

0 likes · 8 min read

Using ChatGPT for Dialogue Information Extraction: Prompt Design and Workflow

DataFunSummit

Oct 29, 2023 · Artificial Intelligence

Construction and Application of a Financial Event Knowledge Graph

This article describes the design, construction pipeline, and practical applications of a financial event knowledge graph, covering background challenges, multi‑layer modeling, information‑extraction techniques, and use cases such as institutional risk monitoring, wealth‑management recommendation, and industry‑chain analysis.

Event ExtractionInformation Extractionartificial intelligence

0 likes · 14 min read

Construction and Application of a Financial Event Knowledge Graph

DataFunSummit

Sep 19, 2023 · Artificial Intelligence

Advances in Information Extraction: From PLM to LLM Paradigms at Alibaba DAMO Academy

This article reviews Alibaba DAMO Academy's research on information extraction, covering background concepts, PLM-era extraction paradigms, few‑shot extraction techniques, and the emerging LLM‑era approaches, while also sharing practical insights, benchmark results, and future directions.

Alibaba DAMOInformation ExtractionNatural Language Processing

0 likes · 24 min read

Advances in Information Extraction: From PLM to LLM Paradigms at Alibaba DAMO Academy

DataFunSummit

May 17, 2023 · Artificial Intelligence

Event Extraction: Overview, Methods, and the OmniEvent Toolkit

This article reviews the development of event extraction, explains its importance for knowledge graphs, surveys four major algorithmic paradigms, introduces the OmniEvent open‑source toolkit with its unified benchmark and modular design, and outlines future research directions such as document‑level extraction and event relation modeling.

Event ExtractionInformation ExtractionNLP

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Event Extraction: Overview, Methods, and the OmniEvent Toolkit

DataFunSummit

Jan 23, 2023 · Artificial Intelligence

Intelligent Document Processing: Core Technologies, Techniques, and Practical Insights

This article explains intelligent document processing (IDP) by describing its core components—OCR, document parsing, and information extraction—detailing various OCR and text‑detection algorithms, discussing document layout reconstruction, table parsing, domain‑specific model adaptation, system optimization, and productization challenges, and outlining future research directions.

AIDocument ParsingInformation Extraction

0 likes · 27 min read

Intelligent Document Processing: Core Technologies, Techniques, and Practical Insights

DataFunTalk

Nov 21, 2022 · Artificial Intelligence

Research on Information Extraction from a Graph Perspective

This presentation reviews the background, significance, current research status, objectives, and key contributions of a graph‑based approach to information extraction, covering entity recognition, relation extraction, event extraction, open‑domain extraction, and the proposed unified modeling framework with experimental results.

Entity RecognitionInformation ExtractionNLP

0 likes · 27 min read

Research on Information Extraction from a Graph Perspective

DataFunTalk

Sep 21, 2022 · Artificial Intelligence

XiaoAi Intelligent QA: Information Extraction, Event Extraction, and Knowledge Graph Question Answering

This presentation details the XiaoAi intelligent assistant’s QA system, covering its application scenarios, information extraction techniques (including relation and event extraction with SPO/PSO models), graph‑based question answering methods, cross‑domain slot extraction, path retrieval, and practical Q&A insights.

AIInformation ExtractionNLP

0 likes · 18 min read

XiaoAi Intelligent QA: Information Extraction, Event Extraction, and Knowledge Graph Question Answering

DataFunSummit

Jul 27, 2022 · Artificial Intelligence

DataFun 2022 Natural Language Processing Summit – Leading Experts Discuss Large‑Scale Language Models, Multimodal Understanding, Dialogue Systems and AI Applications

The DataFun 2022 NLP Summit, held on July 30, brings together top researchers and industry leaders from Alibaba, Baidu, Microsoft, Amazon, and more to present the latest advances in large‑scale pre‑training, multimodal perception, information extraction, dialogue interaction, machine translation, and practical AI deployments, with live streaming and free registration via QR code.

AIConferenceInformation Extraction

0 likes · 44 min read

DataFun 2022 Natural Language Processing Summit – Leading Experts Discuss Large‑Scale Language Models, Multimodal Understanding, Dialogue Systems and AI Applications

DataFunSummit

Jul 7, 2022 · Artificial Intelligence

Discovering and Enhancing Robustness in Low‑Resource Information Extraction

This article examines the robustness challenges of information extraction tasks such as NER and relation extraction, introduces the Entity Coverage Ratio metric, analyzes why pretrained models like BERT may “take shortcuts,” and proposes evaluation tools and training strategies—including mutual‑information‑based methods, negative‑training, and flooding—to improve model robustness across diverse scenarios.

BERTInformation ExtractionNamed entity recognition

0 likes · 12 min read

Discovering and Enhancing Robustness in Low‑Resource Information Extraction

DataFunTalk

Jun 17, 2022 · Artificial Intelligence

OPPO Knowledge Graph: Algorithms, Applications, and Future Directions

This article presents OPPO's large‑scale knowledge graph, detailing the algorithmic challenges and solutions for entity classification, alignment, information extraction, and query parsing, and explains how these techniques power the XiaoBu assistant's knowledge‑based QA, search, and recommendation services while outlining future research directions.

AIInformation ExtractionOPPO

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OPPO Knowledge Graph: Algorithms, Applications, and Future Directions

Python Programming Learning Circle

Jun 8, 2022 · Artificial Intelligence

Leveraging PaddleNLP UIE for Zero‑Shot Logistic Parcel Information Extraction

This article explains how PaddleNLP's Universal Information Extraction (UIE) model can dramatically reduce labeling effort and improve accuracy for logistics parcel data extraction, showcasing a five‑sample experiment that boosts F1 by 18 points to 93% and providing a zero‑shot Python example.

Information ExtractionNLPPaddleNLP

0 likes · 5 min read

Leveraging PaddleNLP UIE for Zero‑Shot Logistic Parcel Information Extraction

DataFunTalk

May 19, 2022 · Artificial Intelligence

Open‑Domain Information Extraction with UIE: Code Samples, Model Details, and Performance Highlights

This article introduces PaddleNLP's UIE tool for open‑domain information extraction, explains its underlying UIE model and ERNIE 3.0 foundation, showcases concise Python code for entity and event extraction, and presents few‑shot and SOTA performance results across multiple IE benchmarks.

Information ExtractionPaddleNLPPython

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Open‑Domain Information Extraction with UIE: Code Samples, Model Details, and Performance Highlights

Youku Technology

Feb 28, 2022 · Artificial Intelligence

Seq2Path: Generating Sentiment Tuples as Paths of a Tree

Seq2Path treats each sentiment tuple as an independent tree path, training with average path loss and decoding via constrained beam search with a discriminative token, achieving state‑of‑the‑art results on five aspect‑based sentiment analysis datasets and deployment in Alibaba Entertainment AI Brain.

ACLBeam SearchInformation Extraction

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Seq2Path: Generating Sentiment Tuples as Paths of a Tree

DataFunTalk

Jan 9, 2022 · Artificial Intelligence

Information Extraction for Unstructured Text: From Closed to Open

This presentation reviews the concepts, tasks, and challenges of information extraction from unstructured text, covering closed and open settings, relation extraction, joint extraction, and open extraction methods, and discusses recent advances such as segment‑attention, global‑rationale models, ETL, TPLinker, and maximal‑clique based approaches with experimental results.

Information ExtractionNatural Language ProcessingRelation Extraction

0 likes · 18 min read

Information Extraction for Unstructured Text: From Closed to Open

DataFunSummit

Nov 27, 2021 · Artificial Intelligence

Knowledge Graph Construction, Applications, and Recent Advances in Entity Linking

This article reviews the fundamentals of knowledge graphs, their practical uses in question answering, search and recommendation, and surveys recent research on entity linking—including dual‑encoder retrieval, BERT‑based models, multilingual approaches, and zero‑shot methods—while also outlining modern knowledge‑graph construction pipelines and open challenges.

Information ExtractionNatural Language Processingentity linking

0 likes · 21 min read

Knowledge Graph Construction, Applications, and Recent Advances in Entity Linking

DataFunTalk

Jan 5, 2021 · Artificial Intelligence

OpenIE‑Based Knowledge Graph Construction for Vertical Domains

This article explores the challenges of enterprise knowledge management and presents vertical‑domain knowledge graph construction techniques based on OpenIE, covering data analysis, extraction methods, SPO modeling, both closed‑ and open‑domain approaches, and practical applications such as chatbots, search and intelligent QA.

AIInformation ExtractionOpenIE

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OpenIE‑Based Knowledge Graph Construction for Vertical Domains