Code for Discovering Topics in Long-tailed Corpora with Causal Intervention.

Overview

Code for Discovering Topics in Long-tailed Corpora with Causal Intervention

ACL2021 Findings

Usage

0. Prepare environment

Requirements:

python==3.6
tensorflow-gpu==1.13.1
scipy==1.5.2
scikit-learn==0.23.2

1. Prepare data

Download preprocessed datasets from Google Drive and extract files to the path ./data.

2. Run the model

python main.py --data_dir ./data/{dataset} --output_dir ./output

3. Evaluation

topic coherence: coherence score.

topic diversity:

python utils/TU.py --data_path {path of topic word file}

Citation

If you are interested in our work, please cite as

@inproceedings{wu2021discovering,
    title = "Discovering Topics in Long-tailed Corpora with Causal Intervention",
    author = "Wu, Xiaobao  and
    Li, Chunping  and
    Miao, Yishu",
    booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.findings-acl.15",
    doi = "10.18653/v1/2021.findings-acl.15",
    pages = "175--185",
}

Other related works

EMNLP2020 Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder

NLPCC2020 Learning Multilingual Topics with Neural Variational Inference

Owner
Xiaobao Wu
Xiaobao Wu
Stand-alone language identification system

langid.py readme Introduction langid.py is a standalone Language Identification (LangID) tool. The design principles are as follows: Fast Pre-trained

2k Jan 04, 2023
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

State-of-the-art Natural Language Processing for PyTorch and TensorFlow 2.0 🤗 Transformers provides thousands of pretrained models to perform tasks o

Hugging Face 77.3k Jan 03, 2023
Natural Language Processing Specialization

Natural Language Processing Specialization In this folder, Natural Language Processing Specialization projects and notes can be found. WHAT I LEARNED

Kaan BOKE 3 Oct 06, 2022
💛 Code and Dataset for our EMNLP 2021 paper: "Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes"

Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes Official PyTorch implementation and EmoCause evaluatio

Hyunwoo Kim 50 Dec 21, 2022
Implemented shortest-circuit disambiguation, maximum probability disambiguation, HMM-based lexical annotation and BiLSTM+CRF-based named entity recognition

Implemented shortest-circuit disambiguation, maximum probability disambiguation, HMM-based lexical annotation and BiLSTM+CRF-based named entity recognition

0 Feb 13, 2022
A deep learning-based translation library built on Huggingface transformers

DL Translate A deep learning-based translation library built on Huggingface transformers and Facebook's mBART-Large 💻 GitHub Repository 📚 Documentat

Xing Han Lu 244 Dec 30, 2022
American Sign Language (ASL) to Text Converter

Signterpreter American Sign Language (ASL) to Text Converter Recommendations Although there is grayscale and gaussian blur, we recommend that you use

0 Feb 20, 2022
Code for the project carried out fulfilling the course requirements for Fall 2021 NLP at NYU

Introduction Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization,

Sai Himal Allu 1 Apr 25, 2022
Cải thiện Elasticsearch trong bài toán semantic search sử dụng phương pháp Sentence Embeddings

Cải thiện Elasticsearch trong bài toán semantic search sử dụng phương pháp Sentence Embeddings Trong bài viết này mình sẽ sử dụng pretrain model SimCS

Vo Van Phuc 18 Nov 25, 2022
Russian words synonyms and antonyms

ru_synonyms Russian words synonyms and antonyms. Install pip install git+https://github.com/ahmados/rusynonyms.git Usage from ru_synonyms import Anto

sumekenov 7 Dec 14, 2022
New Modeling The Background CodeBase

Modeling the Background for Incremental Learning in Semantic Segmentation This is the updated official PyTorch implementation of our work: "Modeling t

Fabio Cermelli 9 Dec 28, 2022
Grapheme-to-phoneme (G2P) conversion is the process of generating pronunciation for words based on their written form.

Neural G2P to portuguese language Grapheme-to-phoneme (G2P) conversion is the process of generating pronunciation for words based on their written for

fluz 11 Nov 16, 2022
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language mod

20.5k Jan 08, 2023
Officile code repository for "A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning"

CvarAdversarialRL Official code repository for "A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning". Initial setup Create a virtual

Mathieu Godbout 1 Nov 19, 2021
Code for CodeT5: a new code-aware pre-trained encoder-decoder model.

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation This is the official PyTorch implementation

Salesforce 564 Jan 08, 2023
Generating new names based on trends in data using GPT2 (Transformer network)

MLOpsNameGenerator Overall Goal The goal of the project is to develop a model that is capable of creating Pokémon names based on its description, usin

Gustav Lang Moesmand 2 Jan 10, 2022
The projects lets you extract glossary words and their definitions from a given piece of text automatically using NLP techniques

Unsupervised technique to Glossary and Definition Extraction Code Files GPT2-DefinitionModel.ipynb - GPT-2 model for definition generation. Data_Gener

Prakhar Mishra 28 May 25, 2021
This is a MD5 password/passphrase brute force tool

CROWES-PASS-CRACK-TOOl This is a MD5 password/passphrase brute force tool How to install: Do 'git clone https://github.com/CROW31/CROWES-PASS-CRACK-TO

9 Mar 02, 2022
Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)

Linear Multihead Attention (Linformer) PyTorch Implementation of reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer:

Kui Xu 58 Dec 23, 2022
Dual languaged (rus+eng) tool for packing and unpacking archives of Silky Engine.

SilkyArcTool English Dual languaged (rus+eng) GUI tool for packing and unpacking archives of Silky Engine. It is not the same arc as used in Ai6WIN. I

Tester 5 Sep 15, 2022