Aykut Koç Lab's Projects
Official repository for "Measuring and Mitigating Gender Bias in Legal Contextualized Language Models".
The d-w2gm models are introduced in our paper "Dynamic Gaussian Word Embeddings". Our codes will be uploaded after our paper has got accepted from the journal.
The repository of the Fractional Fourier Transform Meets Transformer Encoder paper in IEEE Signal Processing Letters
The repository of the paper Fractional Fourier Transform in Time Series submitted to IEEE Signal Processing Letters.
The codebase for the Graph Fractional Fourier Transform: A Unified Theory.
Graph Receptive Transformer Encoder
Imparting Interpretability to Word Embeddings While Preserving Semantic Structure
Implementation of Wiener Filtering in Joint Time-Vertex Fractional Fourier Transform Domains Experiments
Predicting Decisions of Turkish Higher Courts
A list of selected resources, methods, and tools dedicated to Legal Text Analytics.
This repository contains the required codes for reproducing the results in "Gender Bias in Legal Texts and Debiasing It" which is published in Natural Language Engineering journal.
Repo for the paper Unsupervised Simplification of Legal Texts
Machine Readable Dictionary to Sememe Knowledge Base
Codes for: "Multivariate Time Series Imputation with Transformers"
[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"
Source code for the experiments of Trainable Fractional Fourier Transform paper submitted to IEEE Signal Processing Letters.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Named Entity Recognition in Turkish Legal Text
Enhancing Transformer Encoders with Vector Visibility Graph Neural Networks
Zipfian Regularities in “Non-point” Word Representations
In this repo, we provide information for the legal cases included in the "retrieval dataset" of the paper "Prior Case Retrieval for the Court of Cassation of Turkey"."