原文传递
Robust Deep Semantics for Language Understanding.
| 题名： | Robust Deep Semantics for Language Understanding. |
| 作者： | Manning, C.; Jurafsky, D.; Liang, P. |
| 关键词： | Deep learning, Natural languages, Semantics, Information retrieval, Ontologies, Artificial intelligence, Computational linguistics, Semantic parsing |
| 摘要： | The Robust Deep Semantics for Language Understanding project, pursued under the Deep Exploration and Filtering of Text program, began with a research focus on five areas: deep learning, textual inferential relations, relation and event extraction by distant supervision, semantic parsing and ontology expansion, and coreference resolution. As time went by, the program focus converged towards emphasizing technologies for knowledge base population. The project successfully pioneered methods for deep learning for natural language understanding, effective knowledge base construction from text, natural logic methods for text understanding, improved mention coreference algorithms, and the further development of multilingual tools in CoreNLP. |
| 报告类型： | 科技报告 |
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