# Blindness to Modality Helps Entailment Graph Mining

Source: [Blindness to Modality Helps Entailment Graph Mining](<https://www.sota2.com/research/paper/68fa6ada1e209131cea2acc5>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T23:34:16.637Z

Authors: Liane Guillou, Sander Bijl de Vroe, Mark Johnson, Mark Steedman

Published: 2021-09-21T14:48:03.000Z

## Abstract

Understanding linguistic modality is widely seen as important for downstream tasks such as Question Answering and Knowledge Graph Population. Entailment Graph learning might also be expected to benefit from attention to modality. We build Entailment Graphs using a news corpus filtered with a modality parser, and show that stripping modal modifiers from predicates in fact increases performance. This suggests that for some tasks, the pragmatics of modal modification of predicates allows them to contribute as evidence of entailment.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2109.10227>)

[PDF](<https://arxiv.org/pdf/2109.10227.pdf>)