Projects for Knowledge Engineering class (BIT北理工, NLP, 知识工程)
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Updated
Mar 28, 2023 - Jupyter Notebook
Projects for Knowledge Engineering class (BIT北理工, NLP, 知识工程)
This is the public repository of AAAI 2024 paper "Is a Large Language Model a Good Annotator for Event Extraction"
This is a meta-model distilled from ChatGPT-3.5-turbo for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks.
Event Extraction based on Natural Frequency
[DATA22 and Springer LNCS] Graph-Enhanced Biomedical Abstractive Summarization via Factual Evidence Extraction
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.
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
An unsupervised method to automatically detect episodes (significant subevents) and their respective text segments given a key news event corpus.
GWU 2021 Capstone Project- Data Science MS
Event extraction on legal domain´s small corpus using Large Language Models. Specifically, on the Spanish Workers' Statutes
[ACL'23 main] DICE: Data-Efficient Clinical Event Extraction with Generative Models
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
Some papers on low-resource knowledge base population. (mostly from 2018 to 2020)
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