Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching

26 April 2020

Papers citing "Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching"

7 / 7 papers shown

Title
Attention over pre-trained Sentence Embeddings for Long Document Classification Amine Abdaoui Sourav Dutta 6 1 0 18 Jul 2023
EUR-Lex-Sum: A Multi- and Cross-lingual Dataset for Long-form Summarization in the Legal Domain Dennis Aumiller Ashish Chouhan Michael Gertz ELM AILaw 32 35 0 24 Oct 2022
An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification Ilias Chalkidis Xiang Dai Manos Fergadiotis Prodromos Malakasiotis Desmond Elliott 32 33 0 11 Oct 2022
Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes P. Mosteiro Emil Rijcken Kalliopi Zervanou U. Kaymak Floortje E. Scheepers Marco Spruit 25 13 0 28 Apr 2022
WebFormer: The Web-page Transformer for Structure Information Extraction Qifan Wang Yi Fang Anirudh Ravula Fuli Feng Xiaojun Quan Dongfang Liu ViT 141 65 0 01 Feb 2022
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
Efficient Content-Based Sparse Attention with Routing Transformers Aurko Roy M. Saffar Ashish Vaswani David Grangier MoE 240 579 0 12 Mar 2020