Expert Finding in Legal Community Question Answering

Last update: Oct 31, 2022

Related tags

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

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

Codebase for training transformers on systematic generalization datasets. The official repository for our EMNLP 2021 paper The Devil is in the Detail:

57 Nov 21, 2022

Mercer Gaussian Process (MGP) and Fourier Gaussian Process (FGP) Regression

Mercer Gaussian Process (MGP) and Fourier Gaussian Process (FGP) Regression We provide the code used in our paper "How Good are Low-Rank Approximation

0 Dec 13, 2021

Binary Stochastic Neurons in PyTorch

Binary Stochastic Neurons in PyTorch http://r2rt.com/binary-stochastic-neurons-in-tensorflow.html https://github.com/pytorch/examples/tree/master/mnis

54 Nov 21, 2022

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

CURL Rainbow Status: Archive (code is provided as-is, no updates expected) This is an implementation of CURL: Contrastive Unsupervised Representations

46 Dec 12, 2022

The official PyTorch implementation of Curriculum by Smoothing (NeurIPS 2020, Spotlight).

Curriculum by Smoothing (NeurIPS 2020) The official PyTorch implementation of Curriculum by Smoothing (NeurIPS 2020, Spotlight). For any questions reg

36 Nov 23, 2022

Reproduces the results of the paper "Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations".

Finite basis physics-informed neural networks (FBPINNs) This repository reproduces the results of the paper Finite Basis Physics-Informed Neural Netwo

65 Dec 28, 2022

Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)

57 Jan 01, 2023

🔮 Execution time predictions for deep neural network training iterations across different GPUs.

Habitat: A Runtime-Based Computational Performance Predictor for Deep Neural Network Training Habitat is a tool that predicts a deep neural network's

44 Dec 27, 2022

Deep Crop Rotation

Deep Crop Rotation Paper (to come very soon!) We propose a deep learning approach to modelling both inter- and intra-annual patterns for parcel classi

5 Sep 23, 2022

Cancer metastasis detection with neural conditional random field (NCRF)

NCRF Prerequisites Data Whole slide images Annotations Patch images Model Training Testing Tissue mask Probability map Tumor localization FROC evaluat

731 Jan 01, 2023

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models

Hyperparameter Optimization of Machine Learning Algorithms This code provides a hyper-parameter optimization implementation for machine learning algor

1.1k Dec 19, 2022

gACSON software for visualization, processing and analysis of three-dimensional electron microscopy images

gACSON gACSON software is to visualize, segment, and analyze the morphology of neurons in three-dimensional electron microscopy images. If you use any

2 May 31, 2022

Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.

Population-Based Bandits (PB2) Code for the Population-Based Bandits (PB2) Algorithm, from the paper Provably Efficient Online Hyperparameter Optimiza

22 Nov 16, 2022

Code Release for the paper "TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation"

TriBERT This repository contains the code for the NeurIPS 2021 paper titled "TriBERT: Full-body Human-centric Audio-visual Representation Learning for

8 Aug 31, 2022

Expert Finding in Legal Community Question Answering

Related tags

Overview

Expert Finding in Legal Community Question Answering

Dataset

Queries

Posts

Owner

Arian Askari

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

Mercer Gaussian Process (MGP) and Fourier Gaussian Process (FGP) Regression

Binary Stochastic Neurons in PyTorch

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

The official PyTorch implementation of Curriculum by Smoothing (NeurIPS 2020, Spotlight).

Reproduces the results of the paper "Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations".

Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)

🔮 Execution time predictions for deep neural network training iterations across different GPUs.

Deep Crop Rotation

Cancer metastasis detection with neural conditional random field (NCRF)

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models

gACSON software for visualization, processing and analysis of three-dimensional electron microscopy images

Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.

Code Release for the paper "TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation"

Code for A Volumetric Transformer for Accurate 3D Tumor Segmentation

An official source code for "Augmentation-Free Self-Supervised Learning on Graphs"

Adversarial-autoencoders - Tensorflow implementation of Adversarial Autoencoders

Joint learning of images and text via maximization of mutual information

[ICML 2021] A fast algorithm for fitting robust decision trees.

Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral