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Raymond Li's Projects

bertsum icon bertsum

Code for paper Fine-tune BERT for Extractive Summarization

contextualized-topic-models icon contextualized-topic-models

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.

kear icon kear

Official code for achieving human parity on CommonsenseQA with External Attention

mask-rcnn icon mask-rcnn

A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch

mdcal icon mdcal

Create calendar in markdown table using Python.

octis icon octis

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

ollama icon ollama

Get up and running with Llama 2 and other large language models locally

pyrouge icon pyrouge

An interface to and, in time, a Python reimplementation of the ROUGE package for evaluating summarization

rc-data icon rc-data

Question answering dataset featured in "Teaching Machines to Read and Comprehend

reintntm icon reintntm

ReIntNTM: A Tool for extracting better topics from neural topic models

sapbert icon sapbert

[NAACL & ACL 2021] SapBERT: Self-alignment pretraining for BERT & XL-BEL: Cross-Lingual Biomedical Entity Linking.

text-segmentation icon text-segmentation

Implementation of the paper: Text Segmentation as a Supervised Learning Task

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