yqsong

CEQA

Official Implementation of paper: Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints

NRN

DiscoPrompt

Codes for the ACL2023 paper: DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition

WFRE

Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport (Findings-ACL 2023)

GEIA

Code for Findings-ACL 2023 paper: Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence

COLA

Official code repository for the main conference paper in ACL2023: COLA: Contextualized Commonsense Causality Reasoning from the Causal Inference Perspective

CAT

Code for the ACL2023 paper: CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning (https://aclanthology.org/2023.acl-long.733.pdf).

FolkScope

Codes and Datasets for the ACL2023 Findings Paper: FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense

atomic-conceptualization

Code and data for the paper Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization

DummyNode4GraphLearning

Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"

graph4nlp_demo

This repo is to present various code demos on how to use our Graph4NLP library.

graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

ASER

ASER (Activities, States, Events, and their Relations): a large-scale weighted eventuality knowledge graph.

DISCOS-commonsense

Codes for the WWW2021 paper: DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge (https://arxiv.org/abs/2101.00154).

NeuralSubgraphCounting

Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"

awesome-deeplogic

A collection of papers of neural-symbolic AI (mainly focus on NLP applications)

MnemonicReader

A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task

DMSC

This repository is for the paper "Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension"

Multi-label-Text-Classification

cogcomp-nlp

CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.