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anserini

Anserini is a Lucene toolkit for reproducible information retrieval research

caption-contest-data

Data from the New Yorker Caption Contest

chf-toporesolver

Context-Hierarchy Fusion: An unsupervised Toponym Resolution algorithm using context features of documents and spatial-hierarchies of locations

ehsk.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

emdr2

Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)

hred-latent-piecewise

minimax-knn

The code for https://aclanthology.org/2021.findings-acl.309/

openqa-eval

ACL 2023: Evaluating Open-Domain Question Answering in the Era of Large Language Models

pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

qa-eval

sqlite-jdbc-tutorial

SQLite JDBC Tutorial

tifmo

TIFMO: Textual Inference Forward-chaining MOdule

topocluster

A geostatistical based approach to doing Toponym Resolution

twitter-lda

Latent Dirichlet Allocation (LDA) model for Microblogs (Twitter, weibo etc.)

ua-homepage

A Bootstrap 4 resume/CV theme created by Start Bootstrap