The paper formalizes implied entailment as a four-way NLI label, builds the INLI dataset from existing implicature sources, and shows fine-tuned models can label implied vs explicit entailment and generalize across conversational and situational domains.
Comparing Styles across Languages: A Cross-Cultural Exploration of Politeness
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
Understanding how styles differ across languages is advantageous for training both humans and computers to generate culturally appropriate text. We introduce an explanation framework to extract stylistic differences from multilingual LMs and compare styles across languages. Our framework (1) generates comprehensive style lexica in any language and (2) consolidates feature importances from LMs into comparable lexical categories. We apply this framework to compare politeness, creating the first holistic multilingual politeness dataset and exploring how politeness varies across four languages. Our approach enables an effective evaluation of how distinct linguistic categories contribute to stylistic variations and provides interpretable insights into how people communicate differently around the world.
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Entailed Between the Lines: Incorporating Implication into NLI
The paper formalizes implied entailment as a four-way NLI label, builds the INLI dataset from existing implicature sources, and shows fine-tuned models can label implied vs explicit entailment and generalize across conversational and situational domains.