no code implementations • DMR (COLING) 2020 • Ruixiang Cui, Daniel Hershcovich
Predicate-argument structure analysis is a central component in meaning representations of text.
no code implementations • 12 Oct 2020 • Ofir Arviv, Ruixiang Cui, Daniel Hershcovich
This paper describes the HUJI-KU system submission to the shared task on Cross-Framework Meaning Representation Parsing (MRP) at the 2020 Conference for Computational Language Learning (CoNLL), employing TUPA and the HIT-SCIR parser, which were, respectively, the baseline system and winning system in the 2019 MRP shared task.
Ranked #2 on Semantic Parsing on DRG (english, MRP 2020)
no code implementations • CONLL 2020 • Ofir Arviv, Ruixiang Cui, Daniel Hershcovich
This paper describes the HUJI-KU system submission to the shared task on CrossFramework Meaning Representation Parsing (MRP) at the 2020 Conference for Computational Language Learning (CoNLL), employing TUPA and the HIT-SCIR parser, which were, respectively, the baseline system and winning system in the 2019 MRP shared task.
1 code implementation • ACL (IWPT) 2021 • Ruixiang Cui, Daniel Hershcovich
Broad-coverage meaning representations in NLP mostly focus on explicitly expressed content.
no code implementations • 4 Jun 2021 • Ruixiang Cui, Daniel Hershcovich
We exhibit that the implicit UCCA parser does not address numeric fused-heads (NFHs) consistently, which could result either from inconsistent annotation, insufficient training data or a modelling limitation.
1 code implementation • 7 Aug 2021 • Ruixiang Cui, Rahul Aralikatte, Heather Lent, Daniel Hershcovich
We introduce such a dataset, which we call Multilingual Compositional Wikidata Questions (MCWQ), and use it to analyze the compositional generalization of semantic parsers in Hebrew, Kannada, Chinese and English.
no code implementations • ACL 2022 • Daniel Hershcovich, Stella Frank, Heather Lent, Miryam de Lhoneux, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui, Constanza Fierro, Katerina Margatina, Phillip Rust, Anders Søgaard
Various efforts in the Natural Language Processing (NLP) community have been made to accommodate linguistic diversity and serve speakers of many different languages.
1 code implementation • NAACL 2022 • Stephanie Brandl, Ruixiang Cui, Anders Søgaard
Gender-neutral pronouns have recently been introduced in many languages to a) include non-binary people and b) as a generic singular.
1 code implementation • NAACL (DADC) 2022 • Ruixiang Cui, Daniel Hershcovich, Anders Søgaard
Logical approaches to representing language have developed and evaluated computational models of quantifier words since the 19th century, but today's NLU models still struggle to capture their semantics.
2 code implementations • 13 Apr 2023 • Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang, Amin Saied, Weizhu Chen, Nan Duan
Impressively, GPT-4 surpasses average human performance on SAT, LSAT, and math competitions, attaining a 95% accuracy rate on the SAT Math test and a 92. 5% accuracy on the English test of the Chinese national college entrance exam.
no code implementations • 31 May 2023 • Ruixiang Cui, Seolhwa Lee, Daniel Hershcovich, Anders Søgaard
Humans can effortlessly understand the coordinate structure of sentences such as "Niels Bohr and Kurt Cobain were born in Copenhagen and Seattle, respectively".
no code implementations • 26 Oct 2023 • Yong Cao, Yova Kementchedjhieva, Ruixiang Cui, Antonia Karamolegkou, Li Zhou, Megan Dare, Lucia Donatelli, Daniel Hershcovich
We introduce a new task involving the translation and cultural adaptation of recipes between Chinese and English-speaking cuisines.