理化学研究所 計算科学研究センター

メニュー
メニュー

第191回

第191回
日時: 2020年2月13日(木)、13:00 - 13:40
場所: R-CCS 6階講堂

・講演題目:Teaching Computers to Understand Language
・講演者:Aleksandr Drozd(高性能人工知能システム研究チーム)
※発表・スライド共に英語

講演要旨: 詳細を見る

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.