xszhong Goto Github PK

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

alphageometry

awesome-llm4ie-papers

Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

bert

TensorFlow code and pre-trained models for BERT

bit-thesis-latex

北京理工大学学硕士/博士学位毕业论文LaTeX模板（LaTeX Template for BIT thesis）

bithesis

📖 北京理工大学非官方 LaTeX 模板集合，包含本科毕业设计模板及更多。🎉

chatlaw

ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

ghosts

GHOSTS dataset

go2vec

gpt4ner

This repo contains the codes and datasets of our work: Prompting Large Language Models for Few-Shot Named Entity Recognition

grade-school-math

jcrfsuite

Java interface for CRFsuite: http://www.chokkan.org/software/crfsuite/

learnnlplan

Learning to Program with Natural Language

lsavg

Source code and some more results (coming soon) of our WWW2022 paper: Is Least-Squares Inaccurate in Fitting Power-Law Distributions

math

The MATH Dataset (NeurIPS 2021)

missing-semester

The Missing Semester of Your CS Education 📚

mopl

Codes and datasets of our Knowledge-Based Systems paper: Marshall-Olkin Power-Law Distributions in Length-Frequency of Entities

plseg

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

powerlaw

shiarthur03

stanfordnlp

Official Stanford NLP Python Library for Many Human Languages

syntime

The Java source code and datasets of our ACL2017 paper: Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules

tempeval3_toolkit

Evaluation toolkit for evaluating temporal information. Evaluated TempEval-3 participants using this script.

temporal-information-extraction

Temporal Information Extraction targeted against SemEval-2010

testing-statistical-laws-in-complex-systems

tiktoken

tiktoken is a fast BPE tokeniser for use with OpenAI's models.

tomn

The Java source code and datasets of our WWW2018 paper: Time Expression Recognition Using a Constituent-based Tagging Scheme.

xszhong.github.io

The html code and materials of Xiaoshi's profile: xszhong.github.io