sebastian-hofstaetter/tas-balanced-dense-retrieval sebastian-hofstaetter/tas-balanced-dense-retrieval

  • Stars
    star
    58
  • Rank 516,103 (Top 11 %)
  • Language
    Jupyter Notebook
  • License
    Apache License 2.0
  • Created over 3 years ago
  • Updated over 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
sebastian-hofstaetter/tas-balanced-dense-retrieval
github

sebastian-hofstaetter

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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

More Repositories

1

teaching

Open-Source Information Retrieval Courses @ TU Wien
Python
584
star
2

matchmaker

Training & evaluation library for text-based neural re-ranking and dense retrieval models built with PyTorch
Python
260
star
3

neural-ranking-kd

Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation
Jupyter Notebook
107
star
4

sigir19-neural-ir

Source code for: On the Effect of Low-Frequency Terms on Neural-IR Models, SIGIR'19
Python
45
star
5

colberter

Jupyter Notebook
45
star
6

neural-ranking-drmm

Implementation and Evaluation of "A Deep Relevance Matching Model for Ad-hoc Retrieval"
Python
36
star
7

neural-ir-explorer

Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results
Vue
32
star
8

intra-document-cascade

Jupyter Notebook
17
star
9

ir-generalized-translation-models

Generalized Translation Models in the Probabilistic Relevance Framework implemented in Lucene & Solr
Java
9
star
10

fira-trec-19-dataset

Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering
Python
7
star
11

search-engine

Prototype of a super-fast search engine for information retrieval tasks using .NET Core
C#
5
star
12

tripclick

Establishing Strong Baselines for TripClick Health Retrieval; ECIR 2022
5
star
13

embedding_vector_similarity

Api and library for getting related terms from a word embedding
Python
2
star