Unleashing the True Potential of Sequence-to-Sequence Models for Sequence Tagging and Structure Parsing

5 February 2023

Papers citing "Unleashing the True Potential of Sequence-to-Sequence Models for Sequence Tagging and Structure Parsing"

3 / 3 papers shown

Title
The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders Han He Jinho D. Choi 43 84 0 14 Sep 2021
Packed Levitated Marker for Entity and Relation Extraction Deming Ye Yankai Lin Peng Li Maosong Sun 129 105 0 13 Sep 2021
Constrained Language Models Yield Few-Shot Semantic Parsers Richard Shin C. H. Lin Sam Thomson Charles C. Chen Subhro Roy Emmanouil Antonios Platanios Adam Pauls Dan Klein J. Eisner Benjamin Van Durme 290 196 0 18 Apr 2021