Естественная логика

We propose an approach to natural lan- guage inference based on a model of nat- ural logic, which identifies valid infer- ences by their lexical and syntactic fea- tures, without …...

Recognizing semantic relations between sentences, such as entailment and contradiction, is a challenging task that requires detailed analysis of the interaction between diverse linguistic phenomena. In this paper, we propose …...

AbstractRecent implementations of Natural Logic (NLog) have shown that NLog provides a quite direct means of going from sentences in ordinary language to many of the obvious entailments of those …...

Modeling the entailment relation over sen- tences is one of the generic problems of natural language understanding. In or- der to account for this problem, we de- sign a theorem …...

Broad domain question answering is of- ten difficult in the absence of structured knowledge bases, and can benefit from shallow lexical methods (broad coverage) and logical reasoning (high precision). We …...

Reasoning over several premises is not a common feature of RTE systems as it usually requires deep semantic analysis. On the other hand, FraCaS is a collec- tion of entailment …...

AbstractDeep learning techniques are increasingly popular in the textual entailment task, overcoming the fragility of traditional discrete models with hard alignments and logics. In particular, the recently proposed attention models …...

AbstractWe explore end-to-end trained differentiable models that integrate natural logic with neural networks, aiming to keep the backbone of natural language reasoning based on the natural logic formalism while introducing …...