Weiwei Sun

Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing

2021 · Computational Linguistics

Abstract In this work, we present a phenomenon-oriented comparative analysis of the two dominant approaches in English Resource Semantic (ERS) parsing: classic, knowledge-intensive and neural, data-intensive models. To reflect state-of-the-art neural NLP technologies, a factorization-based …

Contrastive Learning Reduces Hallucination in Conversations

2022 · arXiv (Cornell University)

Pre-trained language models (LMs) store knowledge in their parameters and can generate informative responses when used in conversational systems. However, LMs suffer from the problem of "hallucination:" they may generate plausible-looking statements that are irrelevant …

DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment

2023

Dialogue assessment plays a critical role in the development of open-domain dialogue systems. Existing work are uncapable of providing an end-to-end and human-epistemic assessment dataset, while they only provide sub-metrics like coherence or the dialogues …

Accurate SHRG-Based Semantic Parsing

2018

We demonstrate that an SHRG-based parser can produce semantic graphs much more accurately than previously shown, by relating synchronous production rules to the syntacto-semantic composition process. Our parser achieves an accuracy of 90.35 for EDS …