Sean MacAvaney (seanmacavaney)

seanmacavaney

Geek Repo

Company:University of Glasgow

Location:Glasgow, Scotland

Home Page:https://macavaney.us/

Twitter:@macavaney

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Sean MacAvaney's repositories

OpenNIR

An end-to-end neural ad-hoc ranking pipeline.

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ColBERT

ColBERT: Contextualized Late Interaction over BERT (code for SIGIR'20 paper)

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pushshift-reddit-sync

A simple utility to sync a local copy of the pushshift.io Reddit submission and comment dumps

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trello-track

Tracks running processes via Trello

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beir

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

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bert-axioms

Code for ECIR'20 paper Diagnosing BERT with Retrieval Heuristics

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capreolus

A toolkit for end-to-end neural ad hoc retrieval

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cedr

Code for CEDR: Contextualized Embeddings for Document Ranking, accepted at SIGIR 2019.

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cpython

The Python programming language

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cwl

An evaluation script based on the C/W/L framework that is TREC Compatible and provides a replacement for TREC_EVAL and independent scripts for INST, RBP, TBG and U-Measure, etc. All measurements are reported in the same units making all metrics directly comparable.

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datasets

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

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DL-Hard

Deep Learning Hard (DL-HARD) is a new annotated dataset extending TREC Deep Learning benchmark.

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GenderBias_IR

Tools and resources for measuring gender bias in Information Retrieval models

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ir_datasets

Provides a common interface to many IR ranking datasets.

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irds-misc

miscelleanous files related to datasets in IR

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MSMARCO-Passage-Ranking

MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage ranking. A variant of this task will be the part of TREC and AFIRM 2019. For Updates about TREC 2019 please follow This Repository Passage Reranking task Task Given a query q and a the 1000 most relevant passages P = p1, p2, p3,... p1000, as retrieved by BM25 a succeful system is expected to rerank the most relevant passage as high as possible. For this task not all 1000 relevant items have a human labeled relevant passage. Evaluation will be done using MRR

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pisa

PISA: Performant Indexes and Search for Academia

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pytrec_eval

pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.

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terrier-core

Terrier IR Platform

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trec-car-tools

Tools for working with the TREC CAR dataset.

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TREC-COVID

TREC-COVID results

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warc3-clueweb

Python 3 library for reading and writing warc files

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