---
title: "Who cites The Meaning Factory: Formal — 32 citing papers"
description: "32 papers of the Elamur Research library cite «The Meaning Factory: Formal Semantics for Recognizing Textual Entailment and Determining…"
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---
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# Who cites «The Meaning Factory: Formal Semantics for Recognizing Textual Entailment and Determining Semantic Similarity»

32 papers of our library cite it (of the 141,840 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «The Meaning Factory: Formal Semantics for Recognizing Textual Entailment and Determining Semantic Similarity»](https://md.research.elamur.ai/free/en/papers/bjerva-2014-meaning-factory-formal-semantics-recognizing/)

1. [**PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification**Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, et al.*2015 · 414 citations*](https://md.research.elamur.ai/free/en/papers/pavlick-2015-ppdb-2-0-better-paraphrase/) **[From Paraphrase Database to Compositional Paraphrase Model and Back](https://md.research.elamur.ai/free/en/papers/wieting-2015-paraphrase-database-compositional-paraphrase-model/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**John Wieting, Mohit Bansal, Kevin Gimpel, et al.*2015 · 377 citations* **[Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement](https://md.research.elamur.ai/free/en/papers/he-2016-pairwise-word-interaction-modeling-deep/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Hua He, Jimmy Lin*2016 · 295 citations* **[A Continuously Growing Dataset of Sentential Paraphrases](https://md.research.elamur.ai/free/en/papers/lan-2017-continuously-growing-dataset-sentential-paraphrases/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wuwei Lan, Siyu Qiu, Hua He, et al.*2017 · 265 citations* **[SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)](https://md.research.elamur.ai/free/en/papers/xu-2015-semeval-2015-task-1-paraphrase/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Wei Xu, Chris Callison-Burch, Bill Dolan*2015 · 230 citations* **[On-demand Injection of Lexical Knowledge for Recognising Textual Entailment](https://md.research.elamur.ai/free/en/papers/gomez-2017-demand-injection-lexical-knowledge-recognising/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Pascual Martínez-Gómez, Koji Mineshima, Yusuke Miyao, et al.*2017 · 52 citations* [**The First Shared Task on Discourse Representation Structure Parsing**Lasha Abzianidze, Rik van Noord, Hessel Haagsma, et al.*2019 · 16 citations*](https://md.research.elamur.ai/free/en/papers/abzianidze-2019-first-shared-task-discourse-representation/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/bjerva-2014-meaning-factory-formal-semantics-recognizing/) — The Meaning Factory: Formal Semantics for Recognizing Textual Entailment and Determining Semantic Similarity
