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R-CCS Cafe
第191回
第191回
講演題目
Teaching Computers to Understand Language
開催日 | 2020年2月13日(木) |
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開催時間 | 13:00 - 13:40 |
開催都市 | 兵庫県神戸市 |
場所 | R-CCS 6階講堂 |
使用言語 | 発表・スライド共に英語 |
登壇者 |
Aleksandr Drozd 高性能人工知能システム研究チーム ![]() |
講演要旨
Natural language processing is a fast-growing field, with a rapid evolution of approaches and models. In the last 6 years, we have come a long way from word embeddings to contextualized representations to pre-trained transformers, with numerous success stories for NLP system performance on question answering, text classification, machine translation and other tasks.
Despite the successes, we are still very far from reliable verbal reasoning, and one of the unresolved issues is semantic compositionality. It is not only a practical challenge, but also a theoretical one, as there is still no consensus on what a compositional representation of morphologically complex word, phrase or a sentence should be like.
This talk provides an introduction to our research endeavor in the field of NLP, briefly introduces basics of NLP models and aspects of linguistic theory in which they are explicitly or implicitly grounded, particularly compositionality.
(2020年2月7日)