Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical Investigation

15 August 2020

Papers citing "Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical Investigation"

10 / 10 papers shown

Title
A Morphology-Based Investigation of Positional Encodings Poulami Ghosh Shikhar Vashishth Raj Dabre Pushpak Bhattacharyya 24 1 0 06 Apr 2024
Language Modelling with Pixels Phillip Rust Jonas F. Lotz Emanuele Bugliarello Elizabeth Salesky Miryam de Lhoneux Desmond Elliott VLM 30 46 0 14 Jul 2022
When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning Orion Weller Kevin Seppi Matt Gardner 8 21 0 17 May 2022
Geographic Adaptation of Pretrained Language Models Valentin Hofmann Goran Glavavs Nikola Ljubevsić J. Pierrehumbert Hinrich Schütze VLM 21 16 0 16 Mar 2022
To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP Gözde Gül Sahin 25 33 0 18 Nov 2021
Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing Qian Liu Dejian Yang Jiahui Zhang Jiaqi Guo Bin Zhou Jian-Guang Lou 43 41 0 22 Sep 2021
Pre-Trained Models: Past, Present and Future Xu Han Zhengyan Zhang Ning Ding Yuxian Gu Xiao Liu ... Jie Tang Ji-Rong Wen Jinhui Yuan Wayne Xin Zhao Jun Zhu AIFin MQ AI4MH 24 811 0 14 Jun 2021
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little Koustuv Sinha Robin Jia Dieuwke Hupkes J. Pineau Adina Williams Douwe Kiela 29 243 0 14 Apr 2021
UNKs Everywhere: Adapting Multilingual Language Models to New Scripts Jonas Pfeiffer Ivan Vulić Iryna Gurevych Sebastian Ruder 14 126 0 31 Dec 2020
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 294 6,950 0 20 Apr 2018