AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models

Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

Evaluating ChatGPT’s Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness

μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications, ISWC 2022

Named Entity Recognition, Entity Linking, and more

PyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)

Neural Entity Typing with Knowledge Attention

Entity linking, entity typing and relation extraction: Matching CSV to a Wikibase instance (e.g., Wikidata) via Meta-lookup

CogIE: An Information Extraction Toolkit for Bridging Text and CogNet. ACL 2021

Zero-Shot Open Entity Typing as Type-Compatible Grounding, EMNLP'18.

Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"

Neural Entity Typing with Language Model Enhancement

Must-read papers on Fine-grained Entity Typing

🌮 Table-based KB Completer

code for "Fine-grained Entity Typing via Label Reasoning" EMNLP2021

Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings

Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains (AAAI'24)

Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities