Extraction of Salient Sentences from Labelled Documents

21 December 2014

Papers citing "Extraction of Salient Sentences from Labelled Documents"

24 / 24 papers shown

Title
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models Sepehr Kamahi Yadollah Yaghoobzadeh 55 0 0 21 Aug 2024
Latent Concept-based Explanation of NLP Models Xuemin Yu Fahim Dalvi Nadir Durrani Marzia Nouri Hassan Sajjad LRM FAtt 29 2 0 18 Apr 2024
Attention Meets Post-hoc Interpretability: A Mathematical Perspective Gianluigi Lopardo F. Precioso Damien Garreau 21 4 0 05 Feb 2024
Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks Parth Padalkar Gopal Gupta 34 3 0 19 Oct 2023
Evaluating Explanation Methods for Vision-and-Language Navigation Guanqi Chen Lei Yang Guanhua Chen Jia Pan XAI 23 0 0 10 Oct 2023
Explaining How Transformers Use Context to Build Predictions Javier Ferrando Gerard I. Gállego Ioannis Tsiamas Marta R. Costa-jussá 34 32 0 21 May 2023
Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods Josip Jukić Martin Tutek Jan Snajder FAtt 31 0 0 15 Nov 2022
FRAME: Evaluating Rationale-Label Consistency Metrics for Free-Text Rationales Aaron Chan Shaoliang Nie Liang Tan Xiaochang Peng Hamed Firooz Maziar Sanjabi Xiang Ren 55 9 0 02 Jul 2022
Learning to Scaffold: Optimizing Model Explanations for Teaching Patrick Fernandes Marcos Vinícius Treviso Danish Pruthi André F. T. Martins Graham Neubig FAtt 30 22 0 22 Apr 2022
Measuring the Mixing of Contextual Information in the Transformer Javier Ferrando Gerard I. Gállego Marta R. Costa-jussá 36 50 0 08 Mar 2022
Controlling the Focus of Pretrained Language Generation Models Jiabao Ji Yoon Kim James R. Glass Tianxing He 38 5 0 02 Mar 2022
Interpreting Language Models with Contrastive Explanations Kayo Yin Graham Neubig MILM 23 78 0 21 Feb 2022
XAI for Transformers: Better Explanations through Conservative Propagation Ameen Ali Thomas Schnake Oliver Eberle G. Montavon Klaus-Robert Muller Lior Wolf FAtt 15 89 0 15 Feb 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction Aaron Chan Maziar Sanjabi Lambert Mathias L Tan Shaoliang Nie Xiaochang Peng Xiang Ren Hamed Firooz 43 42 0 16 Dec 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 19 45 0 20 Oct 2021
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification Alejandro Barredo Arrieta S. Gil-Lopez I. Laña Miren Nekane Bilbao Javier Del Ser AI4TS 41 13 0 17 Feb 2021
Self-Explaining Structures Improve NLP Models Zijun Sun Chun Fan Qinghong Han Xiaofei Sun Yuxian Meng Fei Wu Jiwei Li MILM XAI LRM FAtt 46 38 0 03 Dec 2020
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations João Bento Pedro Saleiro André F. Cruz Mário A. T. Figueiredo P. Bizarro FAtt AI4TS 24 88 0 30 Nov 2020
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? Jasmijn Bastings Katja Filippova XAI LRM 59 174 0 12 Oct 2020
Explaining and Interpreting LSTMs L. Arras Jose A. Arjona-Medina Michael Widrich G. Montavon Michael Gillhofer K. Müller Sepp Hochreiter Wojciech Samek FAtt AI4TS 21 79 0 25 Sep 2019
Automatic text summarization: What has been done and what has to be done Abdelkrime Aries D. Zegour Walid-Khaled Hidouci 31 24 0 01 Apr 2019
Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis Stefanos Angelidis Mirella Lapata 25 126 0 27 Nov 2017
Ask the GRU: Multi-Task Learning for Deep Text Recommendations Trapit Bansal David Belanger Andrew McCallum 27 313 0 07 Sep 2016
Describing Multimedia Content using Attention-based Encoder--Decoder Networks Kyunghyun Cho Aaron Courville Yoshua Bengio 32 411 0 04 Jul 2015