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Article
Open AccessNERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding
Machine reading (MR) is essential for unlocking valuable knowledge contained in millions of existing biomedical documents. Over the last two decades1,2, the most dramatic advances in MR have followed in the wake ...
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Article
Incident-Driven Machine Translation and Name Tagging for Low-resource Languages
We describe novel approaches to tackling the problem of natural language processing for low-resource languages. The approaches are embodied in systems for name tagging and machine translation (MT) that we cons...
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Chapter and Conference Paper
Abstract Meaning Representations as Linked Data
The complex relationship between natural language and formal semantic representations can be investigated by the development of large, semantically-annotated corpora. The “Abstract Meaning Representation” (AMR...
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Chapter
How To Select An Answer String?
Given a question Q and a sentence/paragraph SP that is likely to contain the answer to Q, an answer selection module is supposed to select the “exact” answer sub-string A ⊂ SP. We study three distinct approach...
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Chapter and Conference Paper
Cross-Language Question Answering at the USC Information Sciences Institute
The TextMap-TMT cross-language question answering system at USC-ISI was designed to answer Spanish questions from English documents. The system is fully automatic, including question translation from Spanish t...
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Article
Translation with Scarce Bilingual Resources
Machine translation of human languages is a field almost as old as computers themselves. Recent approaches to this challenging problem aim at learning translation knowledge automatically (or semi-automatically...
