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bert-semanticroles-tagger

case_based_anli

crossmodal_embedding

This is the repo for our EACL2021 paper STAR: Cross-modal STAtement Representation for selecting relevant mathematical premises.

dilp-core

Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Journal of Artificial Intelligence Research 61 (2018): 1-64.

estrella

Explicit Semantic Text Representation

explanation-entailment-verification

Data for the IWCS 2021 paper "Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards"

explanationlp

Explainable Inference Over Grounding-Abstract Chains for Science Questions

hybrid_autoregressive_inference

Code and data for the AAAI 2022 paper "Hybrid Autoregressive Inference for Scalable Multi-hop Explanation Regeneration"

nli4ct

poly-nlp

Collection of common NLP tasks such as dataset parsing and explicit semantic extraction

premise_selection_graph

probe-ably

Framework designed for PyTorch to support researchers in the implementation of probes for neural representations in a flexible and extensible way.

scientific_explanations_analysis

Corpus analysis for the survey on scientific explanations

semantic_extraction_service

symbolicailabs

task-2-semeval-2024

task_flow_ds_base

Prefect (https://docs.prefect.io/) Task Flow paradigm base code for data science research

tg2022task_premise_retrieval

TextGraphs Shared Task on Natural Language Premise Selection

transportability

unification_reconstruction_explanations

Code for the EACL 2021 paper "Unification-based Reconstruction of Multi-hop Explanations for Science Questions"