Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation

5 January 2022

Papers citing "Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation"

10 / 10 papers shown

Title
Labeled Morphological Segmentation with Semi-Markov Models Ryan Cotterell Thomas Müller Alexander M. Fraser Hinrich Schütze VLM 27 48 0 13 Apr 2024
Morphological Inflection: A Reality Check Jordan Kodner Sarah Payne Salam Khalifa Zoey Liu 24 1 0 25 May 2023
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 103 91 0 06 Oct 2022
Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models Yiwen Wang Jennifer Hu R. Levy Peng Qian 6 3 0 22 Sep 2021
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios Michael A. Hedderich Lukas Lange Heike Adel Jannik Strötgen Dietrich Klakow 188 283 0 23 Oct 2020
With Little Power Comes Great Responsibility Dallas Card Peter Henderson Urvashi Khandelwal Robin Jia Kyle Mahowald Dan Jurafsky 214 115 0 13 Oct 2020
How Can We Accelerate Progress Towards Human-like Linguistic Generalization? Tal Linzen 202 188 0 03 May 2020
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models Noah Weber L. Shekhar Niranjan Balasubramanian 79 30 0 03 May 2018
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 6,927 0 20 Apr 2018
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 254 1,893 0 10 Jan 2017