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Found 10 papers, 8 papers with code
Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction
Progress with supervised Open Information Extraction (OpenIE) has been primarily limited to English due to the scarcity of training data in other languages.
Ranked #1 on
Open Information Extraction
on OpenIE
TAGMol: Target-Aware Gradient-guided Molecule Generation
Moreover, models trained solely on target-ligand distribution may fall short in addressing the broader objectives of drug discovery, such as the development of novel ligands with desired properties like drug-likeness, and synthesizability, underscoring the multifaceted nature of the drug design process.
mOKB6: A Multilingual Open Knowledge Base Completion Benchmark
Automated completion of open knowledge bases (Open KBs), which are constructed from triples of the form (subject phrase, relation phrase, object phrase), obtained via open information extraction (Open IE) system, are useful for discovering novel facts that may not be directly present in the text.
"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds
Proper noun compounds, e. g., "Covid vaccine", convey information in a succinct manner (a "Covid vaccine" is a "vaccine that immunizes against the Covid disease").
Multilingual Fact Linking
This makes it challenging to link KG facts to sentences in languages other than the limited set of languages.
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion
Pre-trained language models (LMs) like BERT have shown to store factual knowledge about the world.
OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction
This IGL based coordination analyzer helps our OpenIE system handle complicated coordination structures, while also establishing a new state of the art on the task of coordination analysis, with a 12. 3 pts improvement in F1 over previous analyzers.
Ranked #1 on
Open Information Extraction
on WiRe57
IMoJIE: Iterative Memory-Based Joint Open Information Extraction
While traditional systems for Open Information Extraction were statistical and rule-based, recently neural models have been introduced for the task.
Why and when should you pool? Analyzing Pooling in Recurrent Architectures
We find that pooling-based architectures substantially differ from their non-pooling equivalents in their learning ability and positional biases--which elucidate their performance benefits.
