30 open-source projects similar to derekmma/dice, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
Code for "Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study" (EACL 2024).
DeepKE is a knowledge extraction toolkit and framework designed to transform unstructured text into structured knowledge graphs. It provides a pipeline for identifying and classifying named entities, semantic relations, and events, converting raw datasets into structured triples. The project utilizes large language models as tool callers through a standardized context protocol to drive automated data extraction processes. It supports schema-driven extraction across multiple domains and bilingual text, employing joint entity and relation extraction to identify components in a single structured
A list of NLP resources focused on event extraction task
This repository contains the code and resources accompanying the paper titled "Advancing Entity Recognition in Biomedicine via Instruction Tuning of Large Language Models." The paper explores the use of instruction-based learning paradigm to transform biomedical Named Entity Recognition (NER)…
CollabKG is an open-source IE annotation toolkit that unifies NER, RE, and EE tasks, integrates KG and EKG, and supports both English and Chinese languages. - CollabKG combines automatic and manual labeling to build a learnable human-machine cooperative system. In particular, humans benefit from…
Project Overview:
This repository contains the code for our ACL 2023 paper Event Extraction as Question Generation and Answering .
Updates | Datasets | Models | Environment | Running | Results | Website | Paper
This is the github repository for the paper: Retrieval Augmented Instruction Tuning for Open NER with Large Language Models.
This is the github repository for the paper to be appeared at NAACL 2024 main conference: Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models.
We provide an implementation of GCD that is compatible with the popular Transformers library!
Code and ressources for evaluating Named Entity Recognition using Few-Shot Prompting with Large Language Models
This repository contains the code for our paper:
Code and Data for arXiv paper: PolyIE: A Dataset of Information Extraction from Polymer Material Scientific Literature.
This is the code for our ACL 2024 paper Timeline-based Sentence Decomposition with In-Context Learning for Temporal Fact Extraction.
Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge
LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition
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.
This repository contains code for extracting structured relational data as JSON documents from complex scientific text, with particular application to materials science. For the Llama-2 fine-tuned models and code, see the supplemetary nerre-llama repo.
If you are just looking to download the LoRA weights directly, use this url: https://figshare.com/ndownloader/files/43044994 and view the data entry on Figshare.
Code, data, and results described in the paper "Mining experimental data from materials science literature with large language models: an evaluation study", https://www.tandfonline.com/doi/full/10.1080/27660400.2024.2356506
A concept and obvious expression pattern collection of Chinese compound event extraction which then be evolved into ComplexEventGraph,本项目提出了中文复合事件的概念与显式模式,包括条件事件、因果事件、顺承事件、反转事件等事件抽取,并形成事理图谱。
An exploration for Eventline (important news Rank organized by pulic time),针对某一事件话题下的新闻报道集合,通过使用docrank算法,对新闻报道进行重要性识别,并通过新闻报道时间挑选出时间线上重要新闻。
An implementation for Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction - Please contact Yaojie Lu (@luyaojie) for questions and suggestions.
Source code for Findings of ACL 2024 paper: Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction.
This repository contains PyTorch implementation and pre-trained models for ASP, described in Autoregressive Structured Prediction with Language Models.
This is the implementation of filter-then-rerank pipeline in Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!. EMNLP'2023 (Findings).
This is the implementation of the paper Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction. ACL'2022.