Projects for Knowledge Engineering class (BIT北理工, NLP, 知识工程)

Event Extraction based on Natural Frequency

A Python framework for automating domain-agnostic and domain-specific Knowledge Graphs from unstructured text. Integrates NLP and Neo4j for entity extraction, relationship mapping, and semantic enrichment. Ideal for text mining and analytics, with support for temporal and event tagging.

This is the public repository of AAAI 2024 paper "Is a Large Language Model a Good Annotator for Event Extraction"

BKEE: Pioneering Event Extraction in the Vietnamese Language

Paper notes for Information Extraction, including Relation Extraction (RE), Named Entity Recognition (NER), Entity Linking (EL), Event Extraction (EE), Named Entity Disambiguation (NED).

Zero-shot Event Extraction - This is the code repository for ACL2021 paper: Zero-shot Event Extraction via Transfer Learning: Challenges and Insights.

some EE baseline

[DATA22 and Springer LNCS] Graph-Enhanced Biomedical Abstractive Summarization via Factual Evidence Extraction

【NLP】基于SVM的网络小说事件类型识别

Assignments and projects for the course: Speech and Natural Language Processing

Demonstration of using OpenAI's pre-trained LLMs for the linguistic annotation task of event extraction.

Use BERT for event extraction and Use R_drop for data augmentation

GWU 2021 Capstone Project- Data Science MS

An unsupervised method to automatically detect episodes (significant subevents) and their respective text segments given a key news event corpus.

Repository for code accompanying the journal paper Extracting City Traffic Events from Social Streams. ACM Trans. Intell. Syst. Technol. 6, 4, Article 43 (July 2015), 27 pages.

Implementation of Deep Divergence Event Graph Kernels

[COLING22] Text-to-Text Extraction and Verbalization of Biomedical Event Graphs

Some papers on low-resource knowledge base population. (mostly from 2018 to 2020)

事件抽取