Length-Aware Multi-Kernel Transformer for Long Document Classification
G Han, J Tsao, X Huang - arXiv preprint arXiv:2405.07052, 2024 - arxiv.org
Lengthy documents pose a unique challenge to neural language models due to substantial
memory consumption. While existing state-of-the-art (SOTA) models segment long texts into …
memory consumption. While existing state-of-the-art (SOTA) models segment long texts into …
Large Language Models as Zero-Shot Keyphrase Extractor: A Preliminary Empirical Study
M Song, X Geng, S Yao, S Lu, Y Feng… - arXiv preprint arXiv …, 2023 - arxiv.org
Zero-shot keyphrase extraction aims to build a keyphrase extractor without training by
human-annotated data, which is challenging due to the limited human intervention involved …
human-annotated data, which is challenging due to the limited human intervention involved …
GAINER: Graph Machine Learning with Node-specific Radius for Classification of Short Texts and Documents
N Yadati - Proceedings of the 18th Conference of the European …, 2024 - aclanthology.org
Graphs provide a natural, intuitive, and holistic means to capture relationships between
different text elements in Natural Language Processing (NLP) such as words, sentences …
different text elements in Natural Language Processing (NLP) such as words, sentences …