Conference paper
Active learning for BERT: An empirical study
Liat Ein-Dor, Alon Halfon, et al.
EMNLP 2020
We present the GrASP algorithm for automatically extracting patterns that characterize subtle linguistic phenomena. To that end, GrASP augments each term of input text with multiple layers of linguistic information. These different facets of the text terms are systematically combined to reveal rich patterns. We report highly promising experimental results in several challenging text analysis tasks within the field of Argumentation Mining. We believe that GrASP is general enough to be useful for other domains too.
Liat Ein-Dor, Alon Halfon, et al.
EMNLP 2020
Indrani Bhattacharya, Arkabandhu Chowdhury, et al.
ICMR 2019
Anirban Laha, Vikas Raykar
COLING 2016
E. Darío Gutiérrez, Philip R. Corlett, et al.
EMNLP 2017