---
title: "Who cites Rion Snow — page 2 — 1,426 papers of our library"
description: "1,426 papers of the Elamur Research library cite the works of Rion Snow, found in their bibliographies · page 2 of 2 · 101–179; the most cited first."
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---
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# Who cites Rion Snow

1,497 citations of their works from 1,426 papers of our library (of the 149,439 whose bibliographies we read) · 179 with a page here, the most cited first · page 2 of 2 · 101–179 · [← Rion Snow](https://md.research.elamur.ai/free/en/authors/rion-snow/)

[← prev](https://md.research.elamur.ai/free/en/authors/rion-snow/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/rion-snow/cited-by/) **2**

101. **[Global Learning of Typed Entailment Rules](https://md.research.elamur.ai/free/en/papers/berant-2011-global-learning-typed-entailment-rules/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jonathan Berant, Ido Dagan, Jacob Goldberger*2011 · 182 citations*
102. **[Analyzing and Integrating Dependency Parsers](https://md.research.elamur.ai/free/en/papers/mcdonald-2011-analyzing-integrating-dependency-parsers/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ryan McDonald, Joakim Nivre*2011 · 179 citations*
103. **[KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation](https://md.research.elamur.ai/free/en/papers/chen-2020-kgpt-knowledge-grounded-pre-training/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenhu Chen, Yu Su, Xifeng Yan, et al.*2020 · 174 citations*
104. **[Generating Coherent Event Schemas at Scale](https://md.research.elamur.ai/free/en/papers/balasubramanian-2013-generating-coherent-event-schemas-scale/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Niranjan Balasubramanian, Stephen Soderland, Mausam, et al.*2013 · 165 citations*
105. **[Specialising Word Vectors for Lexical Entailment](https://md.research.elamur.ai/free/en/papers/vulic-2018-specialising-word-vectors-lexical-entailment/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ivan Vulić, Nikola Mrkšić*2018 · 160 citations*
106. **[Continual Relation Learning via Episodic Memory Activation and Reconsolidation](https://md.research.elamur.ai/free/en/papers/han-2020-continual-relation-learning-episodic-memory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xu Han, Yi Dai, Tianyu Gao, et al.*2020 · 152 citations*
107. **[Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction](https://md.research.elamur.ai/free/en/papers/tan-2022-revisiting-docred-addressing-false-negative/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Qingyu Tan, Lu Xu, Lidong Bing, et al.*2022 · 151 citations*
108. **[NaturalLI: Natural Logic Inference for Common Sense Reasoning](https://md.research.elamur.ai/free/en/papers/angeli-2014-naturalli-natural-logic-inference-common/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Gabor Angeli, Christopher D. Manning*2014 · 150 citations*
109. **[HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment](https://md.research.elamur.ai/free/en/papers/vulic-2017-hyperlex-large-scale-evaluation-graded/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ivan Vulić, Daniela Gerz, Douwe Kiela, et al.*2017 · 148 citations*
110. **[Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection](https://md.research.elamur.ai/free/en/papers/shwartz-2017-hypernyms-under-siege-linguistically-motivated/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Vered Shwartz, Enrico Santus, Dominik Schlechtweg*2017 · 144 citations*
111. **[Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora](https://md.research.elamur.ai/free/en/papers/roller-2018-hearst-patterns-revisited-automatic-hypernym/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Stephen Roller, Douwe Kiela, Maximilian Nickel*2018 · 143 citations*
112. **[ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning](https://md.research.elamur.ai/free/en/papers/chen-2021-zs-bert-zero-shot-relation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chih-Yao Chen, Cheng-Te Li*2021 · 142 citations*
113. **[Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives](https://md.research.elamur.ai/free/en/papers/rutherford-2015-improving-inference-implicit-discourse-relations/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Attapol Rutherford, Nianwen Xue*2015 · 142 citations*
114. **[Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension](https://md.research.elamur.ai/free/en/papers/bartolo-2020-beat-ai-investigating-adversarial-human/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Max Bartolo, Alastair Roberts, Johannes Welbl, et al.*2020 · 141 citations*
115. **[Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts](https://md.research.elamur.ai/free/en/papers/li-2014-major-life-event-extraction-twitter/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Alan Ritter, Claire Cardie, et al.*2014 · 129 citations*
116. **[End-to-End Training of Neural Retrievers for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/sachan-2021-end-end-training-neural-retrievers/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Devendra Sachan, Mostofa Patwary, Mohammad Shoeybi, et al.*2021 · 116 citations*
117. [**Stance and Sentiment in Tweets arXiv:1605.01655**Saif M. Mohammad, Parinaz Sobhani, Svetlana Kiritchenko*2016 · 113 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2016-stance-sentiment-tweets/)
118. **[The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language](https://md.research.elamur.ai/free/en/papers/mihalcea-2009-lie-detector-explorations-automatic-recognition/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rada Mihalcea, Carlo Strapparava*2009 · 103 citations*
119. [**Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words**Valentin, Hofmann*2021 · 102 citations*](https://md.research.elamur.ai/free/en/papers/hofmann-2021-superbizarre-derivational/)
120. **[CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation](https://md.research.elamur.ai/free/en/papers/li-2023-coannotating-uncertainty-guided-work-allocation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Minzhi Li, Taiwei Shi, Caleb Ziems, et al.*2023 · 101 citations*
121. [**SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning**Roshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, et al.*2021 · 95 citations*](https://md.research.elamur.ai/free/en/papers/mirzaee-2021-spartqa-textual-question-answering-benchmark/)
122. **[Representing Meaning with a Combination of Logical and Distributional Models](https://md.research.elamur.ai/free/en/papers/beltagy-2016-representing-meaning-combination-logical-distributional/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**I. Beltagy, Stephen Roller, Pengxiang Cheng, et al.*2016 · 89 citations*
123. **[Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding](https://md.research.elamur.ai/free/en/papers/hou-2018-sequence-sequence-data-augmentation-dialogue/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yutai Hou, Yijia Liu, Wanxiang Che, et al.*2018 · 88 citations*
124. **[A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation](https://md.research.elamur.ai/free/en/papers/poesio-2019-crowdsourced-corpus-multiple-judgments-disagreement/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Massimo Poesio, Jon Chamberlain, Silviu Paun, et al.*2019 · 87 citations*
125. **[Creating Speech and Language Data With Amazon's Mechanical Turk](https://md.research.elamur.ai/free/en/papers/burch-2010-creating-speech-language-data-amazon/) [NAACL HLT Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk](https://md.research.elamur.ai/free/en/venues/naacl-hlt-workshop-on-creating-speech-and-language-data-with-amazon-s-mechanical/)**Chris Callison-Burch, Mark Dredze*2010 · 86 citations*
126. **[Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation](https://md.research.elamur.ai/free/en/papers/fernandes-2023-bridging-gap-survey-integrating-human/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Patrick Fernandes, Aman Madaan, Emmy Liu, et al.*2023 · 84 citations*
127. **[Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis](https://md.research.elamur.ai/free/en/papers/bovi-2015-large-scale-information-extraction-textual/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Claudio Delli Bovi, Luca Telesca, Roberto Navigli*2015 · 82 citations*
128. **[A Large-Scale Pseudoword-Based Evaluation Framework for State-of-the-Art Word Sense Disambiguation](https://md.research.elamur.ai/free/en/papers/pilehvar-2014-large-scale-pseudoword-based-evaluation/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Mohammad Taher Pilehvar, Roberto Navigli*2014 · 80 citations*
129. **[Weakly Supervised Training of Semantic Parsers](https://md.research.elamur.ai/free/en/papers/krishnamurthy-2012-weakly-supervised-training-semantic-parsers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jayant Krishnamurthy, Tom Mitchell*2012 · 70 citations*
130. **[It's All Fun and Games until Someone Annotates: Video Games with a Purpose for Linguistic Annotation](https://md.research.elamur.ai/free/en/papers/jurgens-2014-it-s-all-fun-games/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**David Jurgens, Roberto Navigli*2014 · 68 citations*
131. **[Boosting Entity Linking Performance by Leveraging Unlabeled Documents](https://md.research.elamur.ai/free/en/papers/le-2019-boosting-entity-linking-performance-leveraging/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Phong Le, Ivan Titov*2019 · 61 citations*
132. **[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*
133. **[Augmenting English Adjective Senses with Supersenses](https://md.research.elamur.ai/free/en/papers/tsvetkov-2014-augmenting-english-adjective-senses-supersenses/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yulia Tsvetkov, Nathan Schneider, Dirk Hovy, et al.*2014 · 57 citations*
134. [**Was It Good? It Was Provocative.” Learning the Meaning of Scalar Adjectives**Marie-Catherine de Marneffe, Christopher D. Manning, Christopher Potts*2010 · 56 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2010-was-it-good-it-was/)
135. **[On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT](https://md.research.elamur.ai/free/en/papers/ravichander-2020-systematicity-probing-contextualized-word-representations/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Abhilasha Ravichander, Eduard Hovy, Kaheer Suleman, et al.*2020 · 55 citations*
136. **[Polysemy–-Evidence from Linguistics, Behavioral Science, and Contextualized Language Models](https://md.research.elamur.ai/free/en/papers/haber-2024-polysemy-evidence-linguistics-behavioral-science/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Janosch Haber, Massimo Poesio*2024 · 44 citations*
137. **[Outsourcing FrameNet to the Crowd](https://md.research.elamur.ai/free/en/papers/fossati-2013-outsourcing-framenet-crowd/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Marco Fossati, Claudio Giuliano, Sara Tonelli*2013 · 44 citations*
138. **[SciNLI: A Corpus for Natural Language Inference on Scientific Text](https://md.research.elamur.ai/free/en/papers/sadat-2022-scinli-corpus-natural-language-inference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mobashir Sadat, Cornelia Caragea*2022 · 43 citations*
139. **[Enabling Deep Learning of Emotion With First-Person Seed Expressions](https://md.research.elamur.ai/free/en/papers/alhuzali-2018-enabling-deep-learning-emotion-first/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Hassan Alhuzali, Muhammad Abdul-Mageed, Lyle Ungar*2018 · 41 citations*
140. **[Automatically Tagging Constructions of Causation and Their Slot-Fillers](https://md.research.elamur.ai/free/en/papers/dunietz-2017-automatically-tagging-constructions-causation-their/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jesse Dunietz, Lori Levin, Jaime Carbonell*2017 · 41 citations*
141. **[Semi-Supervised Frame-Semantic Parsing for Unknown Predicates](https://md.research.elamur.ai/free/en/papers/das-2011-semi-supervised-frame-semantic-parsing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dipanjan Das, Noah A. Smith*2011 · 41 citations*
142. **[Expanding textual entailment corpora fromWikipedia using co-training](https://md.research.elamur.ai/free/en/papers/zanzotto-2010-expanding-textual-entailment-corpora-fromwikipedia/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Fabio Massimo Zanzotto, Marco Pennacchiotti*2010 · 33 citations*
143. **[Examples and Specifications that Prove a Point: Identifying Elaborative and Argumentative Discourse Relations](https://md.research.elamur.ai/free/en/papers/scholman-2017-examples-specifications-that-prove-point/) [Dialogue & Discourse](https://md.research.elamur.ai/free/en/venues/dnd/)**Merel C.J. Scholman, Vera Demberg*2017 · 31 citations*
144. **[Phrase Detectives Corpus 1.0 Crowdsourced Anaphoric Coreference.](https://md.research.elamur.ai/free/en/papers/chamberlain-2016-phrase-detectives-corpus-1-0/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jon Chamberlain, Massimo Poesio, Udo Kruschwitz*2016 · 31 citations*
145. [**Really? Well. Apparently Bootstrapping Improves the Performance of Sarcasm and Nastiness Classifiers for Online Dialogue Proceedings of the Workshop on Language Analysis in Social Media**Stephanie Lukin, Marilyn Walker*2013 · 31 citations*](https://md.research.elamur.ai/free/en/papers/lukin-2013-really-well-apparently-bootstrapping-improves/)
146. **[TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages](https://md.research.elamur.ai/free/en/papers/srinivasan-2022-tydip-dataset-politeness-classification-nine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Anirudh Srinivasan, Eunsol Choi*2022 · 29 citations*
147. [**Pushing the Limits of ChatGPT on NLP Tasks arXiv:2306.09719**Xiaofei Sun, Linfeng Dong, Xiaoya Li, et al.*2023 · 28 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-pushing-limits-chatgpt-nlp-tasks/)
148. **[Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance](https://md.research.elamur.ai/free/en/papers/nahum-2025-are-llms-better-than-reported/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Omer Nahum, Nitay Calderon, Orgad Keller, et al.*2025 · 27 citations*
149. [**Statistical Parsing by Machine Learning from a Classical Arabic Treebank**Kais Dukes*2015 · 27 citations*](https://md.research.elamur.ai/free/en/papers/dukes-2015-statistical-parsing-machine-learning-classical/)
150. **[A Probabilistic Annotation Model for Crowdsourcing Coreference](https://md.research.elamur.ai/free/en/papers/paun-2018-probabilistic-annotation-model-crowdsourcing-coreference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Silviu Paun, Jon Chamberlain, Udo Kruschwitz, et al.*2018 · 25 citations*
151. **[Getting Reliable Annotations for Sarcasm in Online Dialogues](https://md.research.elamur.ai/free/en/papers/swanson-2014-getting-reliable-annotations-sarcasm-online/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Reid Swanson, Stephanie Lukin, Luke Eisenberg, et al.*2014 · 23 citations*
152. **[Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design](https://md.research.elamur.ai/free/en/papers/pyatkin-2023-design-choices-crowdsourcing-implicit-discourse/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, et al.*2023 · 19 citations*
153. **[Towards a Corpus of Violence Acts in Arabic Social Media](https://md.research.elamur.ai/free/en/papers/alhelbawy-2016-corpus-violence-acts-arabic-social/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ayman Alhelbawy, Udo Kruschwitz, Massimo Poesio*2016 · 19 citations*
154. **[Improving Crowdsourcing-Based Annotation of Japanese Discourse Relations](https://md.research.elamur.ai/free/en/papers/kishimoto-2018-improving-crowdsourcing-based-annotation-japanese/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yudai Kishimoto, Shinnosuke Sawada, Yugo Murawaki, et al.*2018 · 17 citations*
155. **[Augmenting FrameNet Via PPDB](https://md.research.elamur.ai/free/en/papers/rastogi-2014-augmenting-framenet-ppdb/) [Workshop on EVENTS: Definition, Detection, Coreference, and Representation](https://md.research.elamur.ai/free/en/venues/workshop-on-events-definition-detection-coreference-and-representation/)**Pushpendre Rastogi, Benjamin Van Durme*2014 · 17 citations*
156. **[MTurk Crowdsourcing: A Viable Method for Rapid Discovery of Arabic Nicknames?](https://md.research.elamur.ai/free/en/papers/higgins-2010-mturk-crowdsourcing-viable-method-rapid/) [NAACL HLT Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk](https://md.research.elamur.ai/free/en/venues/naacl-hlt-workshop-on-creating-speech-and-language-data-with-amazon-s-mechanical/)**Chiara Higgins, Elizabeth McGrath, Laila Moretto*2010 · 15 citations*
157. **[Combining Minimally-supervised Methods for Arabic Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/althobaiti-2015-combining-minimally-supervised-methods-arabic/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Maha Althobaiti, Udo Kruschwitz, Massimo Poesio*2015 · 14 citations*
158. **[Glen, Glenda or Glendale: Unsupervised and Semi-supervised Learning of English Noun Gender](https://md.research.elamur.ai/free/en/papers/bergsma-2009-glen-glenda-or-glendale-unsupervised/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Shane Bergsma, Dekang Lin, Randy Goebel*2009 · 13 citations*
159. **[Aggregating Crowdsourced and Automatic Judgments to Scale Up a Corpus of Anaphoric Reference for Fiction and Wikipedia Texts](https://md.research.elamur.ai/free/en/papers/yu-2023-aggregating-crowdsourced-automatic-judgments-scale/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Juntao Yu, Silviu Paun, Maris Camilleri, et al.*2023 · 12 citations*
160. **[End-to-end Neural Information Status Classification](https://md.research.elamur.ai/free/en/papers/hou-2021-end-end-neural-information-status/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yufang Hou*2021 · 12 citations*
161. **[Synthetic Examples Improve Cross-Target Generalization: A Study on Stance Detection on a Twitter corpus.](https://md.research.elamur.ai/free/en/papers/conforti-2021-synthetic-examples-improve-cross-target/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.*2021 · 12 citations*
162. **[Design Choices in Crowdsourcing Discourse Relation Annotations: The Effect of Worker Selection and Training](https://md.research.elamur.ai/free/en/papers/scholman-2022-design-choices-crowdsourcing-discourse-relation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Merel Scholman, Valentina Pyatkin, Frances Yung, et al.*2022 · 11 citations*
163. [**WordNet—Wikipedia—Wiktionary: Construction of a Three-way Alignment**Tristan Miller, Iryna Gurevych*2014 · 11 citations*](https://md.research.elamur.ai/free/en/papers/miller-2014-wordnet-wikipedia-wiktionary/)
164. **[Recognizing Textual Entailment Using Probabilistic Inference](https://md.research.elamur.ai/free/en/papers/sha-2015-recognizing-textual-entailment-probabilistic-inference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lei Sha, Sujian Li, Baobao Chang, et al.*2015 · 10 citations*
165. **[Can Crowdsourcing be used for Effective Annotation of Arabic?](https://md.research.elamur.ai/free/en/papers/zaghouani-2014-can-crowdsourcing-be-used-effective/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Wajdi Zaghouani, Kais Dukes*2014 · 10 citations*
166. [**Towards Semi-Automated Annotation for Prepositional Phrase Attachment**Sara Rosenthal, William Lipovsky, Kathleen McKeown, et al.*2010 · 10 citations*](https://md.research.elamur.ai/free/en/papers/rosenthal-2010-semi-automated-annotation-prepositional-phrase/)
167. [**Taxonomy Tree Generation from Citation Graph arXiv:2410.03761**Yuntong Hu, Zhuofeng Li, Zheng Zhang, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/hu-2024-taxonomy-tree-generation-citation-graph/)
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