Expert Finding in Legal Community Question Answering

Last update: Oct 31, 2022

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Overview

Expert Finding in Legal Community Question Answering

Arian Askari, Suzan Verberne, and Gabriella Pasi. Expert Finding in Legal Community Question Answering. ECIR 2022 (short).

If you use this work, please cite as:

@InProceedings{Askari2022ECIR,
  author = {Askari, Arian and Verberne, Suzan and Pasi, Gabriella},
  title = {Expert Finding in Legal Community Question Answering},
  booktitle = {ECIR},
  year = {2022}
}

Dataset

Queries

All queries are are available in /data/queries_bankruptcy.csv

Posts

The link of all posts that have been used for this reaserch (in Bankruptcy category) are available in /data/question_links_bankruptcy.json

P.S: All pages were stored anonymously during this research with regard to the users' privacy.

Owner

Arian Askari

GitHub Repository

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Expert Finding in Legal Community Question Answering

Related tags

Overview

Expert Finding in Legal Community Question Answering

Dataset

Queries

Posts

Owner

Arian Askari

Code for the paper "Can Active Learning Preemptively Mitigate Fairness Issues?" presented at RAI 2021.

This is the repository of shape matching algorithm Iterative Rotations and Assignments (IRA)

clustimage is a python package for unsupervised clustering of images.

A PyTorch implementation of SlowFast based on ICCV 2019 paper "SlowFast Networks for Video Recognition"

Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection

Road Crack Detection Using Deep Learning Methods

PyTorch experiments with the Zalando fashion-mnist dataset

Bayesian Optimization using GPflow

This repo uses a combination of logits and feature distillation method to teach the PSPNet model of ResNet18 backbone with the PSPNet model of ResNet50 backbone. All the models are trained and tested on the PASCAL-VOC2012 dataset.

Split your patch similarly to `git add -p` but supporting multiple buckets

Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling

Code for "NeRS: Neural Reflectance Surfaces for Sparse-View 3D Reconstruction in the Wild," in NeurIPS 2021

Label Hallucination for Few-Shot Classification

The most simple and minimalistic navigation dashboard.

Deep Markov Factor Analysis (NeurIPS2021)

GUI for a Vocal Remover that uses Deep Neural Networks.

PyTorch implementation of Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution, IJCNN 2021.

Training Very Deep Neural Networks Without Skip-Connections

Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).

Code for "Neural 3D Scene Reconstruction with the Manhattan-world Assumption" CVPR 2022 Oral