no code implementations • 16 Feb 2024 • Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum
Despite recent progress, large language models (LLMs) still face the challenge of appropriately reacting to the intricacies of social and cultural conventions.
1 code implementation • 14 Oct 2022 • Tuan-Phong Nguyen, Simon Razniewski, Aparna Varde, Gerhard Weikum
Commonsense knowledge, which is crucial for robust human-centric AI, is covered by a small number of structured knowledge projects.
no code implementations • 14 Jun 2022 • Tuan-Phong Nguyen, Quoc-Tuan Truong, Xuan-Nam Nguyen, Anh-Cuong Le
We also design a new feature set to measure the performance of the statistical taggers.
no code implementations • CSRR (ACL) 2022 • Tuan-Phong Nguyen, Simon Razniewski
Starting from the COMET methodology by Bosselut et al. (2019), generating commonsense knowledge directly from pre-trained language models has recently received significant attention.
1 code implementation • 30 Nov 2021 • Tuan-Phong Nguyen, Simon Razniewski, Julien Romero, Gerhard Weikum
However, they are restricted in their expressiveness to subject-predicate-object (SPO) triples with simple concepts for S and strings for P and O.
no code implementations • ACL 2021 • Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum
ASCENT is a fully automated methodology for extracting and consolidating commonsense assertions from web contents (Nguyen et al., WWW 2021).
1 code implementation • 2 Nov 2020 • Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum
Prior works like ConceptNet, TupleKB and others compiled large CSK collections, but are restricted in their expressiveness to subject-predicate-object (SPO) triples with simple concepts for S and monolithic strings for P and O.
1 code implementation • 29 Dec 2016 • Tuan-Phong Nguyen, Anh-Cuong Le
Word segmentation is the very first task for Vietnamese language processing.