The Parallel Meaning Bank: A Framework for Semantically Annotating Multiple Languages

通过结构条件化语言生成标注 FrameNet

Annotating FrameNet via Structure-Conditioned Language Generation

本文研究在 FrameNet 形式体系下生成保留给定语义结构的新句子，提出过度生成与过滤框架，发现基于显式语义信息的生成在低资源下对框架语义角色标注的数据增强有效，但在高资源下效果有限。

Thirty Musts for Meaning Banking

Meaning banking--creating a semantically annotated corpus for the purpose of semantic parsing or generation--is a challenging task. It is quite simple to come up with a complex meaning representation, but it is hard to design a simple meaning representation that captures many nuances of meaning. This paper lists some lessons learned in nearly ten years of meaning annotation during the development of the Groningen Meaning Bank (Bos et al., 2017) and the Parallel Meaning Bank (Abzianidze et al., 2017). The paper's format is rather unconventional: there is no explicit related work, no methodology…

Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge

In this paper, we study the problem of knowledge-intensive text-to-SQL, in which domain knowledge is necessary to parse expert questions into SQL queries over domain-specific tables. We formalize this scenario by building a new Chinese benchmark KnowSQL consisting of domain-specific questions covering various domains. We then address this problem by presenting formulaic knowledge, rather than by annotating additional data examples. More concretely, we construct a formulaic knowledge bank as a domain knowledge base and propose a framework (ReGrouP) to leverage this formulaic knowledge during pa…

Towards Universal Semantic Tagging

The paper proposes the task of universal semantic tagging---tagging word tokens with language-neutral, semantically informative tags. We argue that the task, with its independent nature, contributes to better semantic analysis for wide-coverage multilingual text. We present the initial version of the semantic tagset and show that (a) the tags provide semantically fine-grained information, and (b) they are suitable for cross-lingual semantic parsing. An application of the semantic tagging in the Parallel Meaning Bank supports both of these points as the tags contribute to formal lexical semanti…

基于大型语言模型的语义一致性正则化在半监督情感分析中的应用

Semantic Consistency Regularization with Large Language Models for Semi-supervised Sentiment Analysis

针对半监督情感分析泛化能力弱易过拟合的问题，提出基于大型语言模型的语义一致性正则化框架SCR，利用LLM进行文本语义增强并结合置信度阈值与类重组策略提供额外监督，性能显著优于现有方法。