Inductive and deductive inferences in a Crowdsourced Lexical-Semantic Network

Inductive and deductive inferences in a Crowdsourced Lexical-Semantic Network (Inf\'erences d\'eductives et r\'econciliation dans un r\'eseau lexico-s\'emantique) [in French]

About Inferences in a Crowdsourced Lexical-Semantic Network

Contrastive Learning for Inference in Dialogue

Inference, especially those derived from inductive processes, is a crucial component in our conversation to complement the information implicitly or explicitly conveyed by a speaker. While recent large language models sh…

Unified Inductive Logic: From Formal Learning to Statistical Inference to Supervised Learning

While the traditional conception of inductive logic is Carnapian, I develop a Peircean alternative and use it to unify formal learning theory, statistics, and a significant part of machine learning: supervised learning. …

HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning

Large crowdsourced datasets are widely used for training and evaluating neural models on natural language inference (NLI). Despite these efforts, neural models have a hard time capturing logical inferences, including tho…