---
title: "Who cites Methods for Using Textual — 67 citing papers"
description: "67 papers of the Elamur Research library cite «Methods for Using Textual Entailment in Open-Domain Question Answering», found in their…"
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---
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# Who cites «Methods for Using Textual Entailment in Open-Domain Question Answering»

67 papers of our library cite it (of the 141,840 whose bibliographies we read) · 11 with a page here, the most cited first · [← back to «Methods for Using Textual Entailment in Open-Domain Question Answering»](https://md.research.elamur.ai/free/en/papers/harabagiu-2006-methods-textual-entailment-open-domain/)

1. [**EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference**Abhilasha Ravichander, Aakanksha Naik, Carolyn Rose, et al.*2019 · 122 citations*](https://md.research.elamur.ai/free/en/papers/ravichander-2019-equate-benchmark-evaluation-framework-quantitative/) **[“Ask Not What Textual Entailment Can Do for You...”](https://md.research.elamur.ai/free/en/papers/sammons-2010-ask-not-what-textual-entailment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mark Sammons, V.G.Vinod Vydiswaran, Dan Roth*2010 · 108 citations* **[Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models](https://md.research.elamur.ai/free/en/papers/khot-2021-text-modular-networks-learning-decompose/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tushar Khot, Daniel Khashabi, Kyle Richardson, et al.*2021 · 94 citations* **[Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks](https://md.research.elamur.ai/free/en/papers/asai-2022-evidentiality-guided-generation-knowledge-intensive/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Akari Asai, Matt Gardner, Hannaneh Hajishirzi*2022 · 60 citations* **[Multi-Level Alignments As An Extensible Representation Basis for Textual Entailment Algorithms](https://md.research.elamur.ai/free/en/papers/noh-2015-multi-level-alignments-as-extensible/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Tae-Gil Noh, Sebastian Padó, Vered Shwartz, et al.*2015 · 17 citations*

56 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/harabagiu-2006-methods-textual-entailment-open-domain/) — Methods for Using Textual Entailment in Open-Domain Question Answering