Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation

10 December 2021

Papers citing "Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation"

6 / 6 papers shown

Title
Metaphors in Pre-Trained Language Models: Probing and Generalization Across Datasets and Languages Ehsan Aghazadeh Mohsen Fayyaz Yadollah Yaghoobzadeh 31 51 0 26 Mar 2022
Robustness Gym: Unifying the NLP Evaluation Landscape Karan Goel Nazneen Rajani Jesse Vig Samson Tan Jason M. Wu Stephan Zheng Caiming Xiong Mohit Bansal Christopher Ré AAML OffRL OOD 138 136 0 13 Jan 2021
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 249 1,982 0 28 Jul 2020
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 245 1,417 0 22 Aug 2019
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 199 876 0 03 May 2018
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati Feifei Zhai Bowen Zhou 200 1,249 0 14 Nov 2016