Подход, основанный на данных
Related Papers
Data-Driven Strategies for an Automated Dialogue System
We present a prototype natural-language problem-solving application for a financial services call center, developed as part of the Amitiés multilingual human-computer dialogue project. Our automated dialogue system, based on empirical …...
Lightly Supervised and Data-Driven Approaches to Mandarin Broadcast News Transcription
This article investigates the use of several lightly supervised and data-driven approaches to Mandarin broadcast news transcription. With the special structural properties of the Chinese language taken into consideration, a …...
Learning the Taxonomy of Function Words for Parsing
Completely data-driven grammar training is prone to over-fitting. Human-defined word class knowledge is useful to address this issue. However, the manual word class taxonomy may be unreliable and irrational for …...
Zero-resource Dependency Parsing: Boosting Delexicalized Cross-lingual Transfer with Linguistic Knowledge
AbstractThis paper studies cross-lingual transfer for dependency parsing, focusing on very low-resource settings where delexicalized transfer is the only fully automatic option. We show how to boost parsing performance by …...
Improving Formality-Sensitive Machine Translation Using Data-Centric Approaches and Prompt Engineering
AbstractIn this paper, we present the KU x Upstage team’s submission for the Special Task on Formality Control on Spoken Language Translation, which involves translating English into four languages with …...