---
title: "Who cites Learning to Rank Answers to — 34 citing papers"
description: "34 papers of the Elamur Research library cite «Learning to Rank Answers to Non-Factoid Questions from Web Collections», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/surdeanu-2011-learning-rank-answers-non-factoid/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/surdeanu-2011-learning-rank-answers-non-factoid/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Learning to Rank Answers to Non-Factoid Questions…](https://md.research.elamur.ai/free/en/papers/surdeanu-2011-learning-rank-answers-non-factoid/) / cited by

# Who cites «Learning to Rank Answers to Non-Factoid Questions from Web Collections»

34 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Learning to Rank Answers to Non-Factoid Questions from Web Collections»](https://md.research.elamur.ai/free/en/papers/surdeanu-2011-learning-rank-answers-non-factoid/)

1. **[SemEval-2017 Task 3: Community Question Answering](https://md.research.elamur.ai/free/en/papers/nakov-2017-semeval-2017-task-3-community/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Preslav Nakov, Doris Hoogeveen, Lluís Màrquez, et al.*2017 · 262 citations*
2. [**Out-of-domain FrameNet Semantic Role Labeling**Silvana Hartmann, Ilia Kuznetsov, Teresa Martin, et al.*2017 · 82 citations*](https://md.research.elamur.ai/free/en/papers/hartmann-2017-out-domain-framenet-semantic-role/)
3. **[Selectional Preferences for Semantic Role Classification](https://md.research.elamur.ai/free/en/papers/zapirain-2013-selectional-preferences-semantic-role-classification/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Beñat Zapirain, Eneko Agirre, Lluís Màrquez, et al.*2013 · 68 citations*
4. **[Al-Jawaab at Qur'an QA 2023 Shared Task: Exploring Embeddings and GPT Models for Passage Retrieval and Reading Comprehension](https://md.research.elamur.ai/free/en/papers/zekiye-2023-al-jawaab-qur-qa-2023/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Abdulrezzak Zekiye, Fadi Amroush*2023 · 6 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/surdeanu-2011-learning-rank-answers-non-factoid/) — Learning to Rank Answers to Non-Factoid Questions from Web Collections
