GRASP
Related Papers
GRASP: Grammar- and Syntax-based Pattern-Finder for Collocation and Phrase Learning
. We introduce a method for learning to find the representative syntax-based context of a given collocation/phrase. In our approach, grammatical patterns are extracted for query terms aimed at accelerating …...
GRASP: Rich Patterns for Argumentation Mining
AbstractGRASP (GReedy Augmented Sequential Patterns) is an algorithm for automatically extracting patterns that characterize subtle linguistic phenomena. To that end, GRASP augments each term of input text with multiple layers …...
GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns
AbstractData exploration is an important step of every data science and machine learning project, including those involving textual data. We provide a novel language tool, in the form of a …...
GRASP: Guiding Model with RelAtional Semantics Using Prompt for Dialogue Relation Extraction
AbstractThe dialogue-based relation extraction (DialogRE) task aims to predict the relations between argument pairs that appear in dialogue. Most previous studies utilize fine-tuning pre-trained language models (PLMs) only with extensive …...