Explainability of Text Processing and Retrieval Methods: A Critical Survey

14 December 2022

Papers citing "Explainability of Text Processing and Retrieval Methods: A Critical Survey"

8 / 8 papers shown

Title
ir_explain: a Python Library of Explainable IR Methods S. Harsh Agarwal Venktesh V Avishek Anand Swastik Mohanty Debapriyo Majumdar Mandar Mitra XAI 60 1 0 29 Apr 2024
Probing Classifiers: Promises, Shortcomings, and Advances Yonatan Belinkov 226 405 0 24 Feb 2021
Overview of the TREC 2020 deep learning track Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos 54 368 0 15 Feb 2021
Pretrained Transformers for Text Ranking: BERT and Beyond Jimmy J. Lin Rodrigo Nogueira Andrew Yates VLM 219 610 0 13 Oct 2020
Overview of the TREC 2019 deep learning track Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos E. Voorhees 180 465 0 17 Mar 2020
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 201 882 0 03 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,956 0 20 Apr 2018
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017