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Found 12 papers, 5 papers with code
Refining Implicit Argument Annotation for UCCA
Predicate-argument structure analysis is a central component in meaning representations of text.
HUJI-KU at MRP~2020: Two Transition-based Neural Parsers
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)
HUJI-KU at MRP 2020: Two Transition-based Neural Parsers
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.
Meaning Representation of Numeric Fused-Heads in UCCA
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.
Great Service! Fine-grained Parsing of Implicit Arguments
Broad-coverage meaning representations in NLP mostly focus on explicitly expressed content.
Compositional Generalization in Multilingual Semantic Parsing over Wikidata
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.
Challenges and Strategies in Cross-Cultural NLP
Various efforts in the Natural Language Processing (NLP) community have been made to accommodate linguistic diversity and serve speakers of many different languages.
How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns
Gender-neutral pronouns have recently been introduced in many languages to a) include non-binary people and b) as a generic singular.
Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks
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.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
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.
What does the Failure to Reason with "Respectively" in Zero/Few-Shot Settings Tell Us about Language Models?
Humans can effortlessly understand the coordinate structure of sentences such as "Niels Bohr and Kurt Cobain were born in Copenhagen and Seattle, respectively".
Cultural Adaptation of Recipes
We introduce a new task involving the translation and cultural adaptation of recipes between Chinese and English-speaking cuisines.
