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a-survey-of-deep-causal-models-and-their-industrial-applications

causality4nlp_papers

A reading list for papers on causality for natural language processing (NLP)

causenet_cikm20

CauseNet: Towards a Causality Graph Extracted from the Web

cesi

WWW 2018: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information

cevae-vampprior

CEVAE with VampPrior

collabo_yuma_ziwei

conceptgraph

Alibaba Conceptual Graph

dcep-lda

Impleementation of the Paper Incorporating Concept Information into Term Weighting Schemes for Topic Models

fincausal-2020

genre

Autoregressive Entity Retrieval

gsoc2021-dbpedia-neuralextraction

This is the source of weekly blog for GSoc2021

guidedlda

semi supervised guided topic model with custom guidedLDA

hgls

[WWW 2023] The source code of "Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning"

investopedia-terms

Scrape financial terms from Investopedia

knncmi

This python code estimates conditional mutual information (CMI) and mutual information (MI) for discrete and/or continuous variables using a nearest neighbors approach.

neural-extraction-framework

Repository for the GSoC project 'Towards a Neural Extraction Framework'

neural_topic_models

Implementation of topic models based on neural network approaches.

opentlp

[ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Prediction: A Unified Framework, Taxonomy, and Review" which has been accepted by ACM Computing Surveys.

reasoning_in_ee

Code and datasets for the ACL 2021 paper "OntoED: Low-resource Event Detection with Ontology Embedding"

reco

[EMNLP 2022 Long Paper] ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks

seeded_lda

Modified python lda package to perform lda with a set of supplied seed words for each topic

switchhosts

Switch hosts quickly!

tat-qa

TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-world financial reports.

tgrank

topic-modelling-the-red-pill

Using NLP data models to replicate manual coding methodology to analyse the methods and talking points within the Return Of Kings blog

twicetrainedlda

This code describes teh experiments for my KES2019 paper <Modular Ontology Learning with Topic Modelling over Core Ontology>. This version is the updated version after solving some errors in algortihms.

yseoplab

ziweihomepage

https://ziweixu.com