sebastian-hofstaetter Goto Github PK

anserini

A toolkit for reproducible information retrieval research built on Lucene

colberter

embedding_vector_similarity

Api and library for getting related terms from a word embedding

fira-trec-19-dataset

Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering

grunt-tsng

A TypeScript pre-processor for AngularJS

intra-document-cascade

ir-generalized-translation-models

Generalized Translation Models in the Probabilistic Relevance Framework implemented in Lucene & Solr

matchmaker

Training & evaluation library for text-based neural re-ranking and dense retrieval models built with PyTorch

neural-ir-explorer

Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results

neural-ranking-drmm

Implementation and Evaluation of "A Deep Relevance Matching Model for Ad-hoc Retrieval"

neural-ranking-kd

Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

search-engine

Prototype of a super-fast search engine for information retrieval tasks using .NET Core

sigir19-neural-ir

Source code for: On the Effect of Low-Frequency Terms on Neural-IR Models, SIGIR'19

tas-balanced-dense-retrieval

SIGIR 2021: Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling

teaching

Open-Source Information Retrieval Courses @ TU Wien

tripclick

Establishing Strong Baselines for TripClick Health Retrieval; ECIR 2022