---
title: "Psychology — papers, page 3"
description: "Psychology: 593 papers of the Elamur Research library · page 3 of 7 · 126–225, the most cited first — our summary of each, its ideas, references and who…"
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# 💭 Psychology

593 papers · page 3 of 7 · 126–225 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Mind and behaviour: perception, memory, learning, development, language in the mind.

## Papers

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126. [**Modeling Empathy and Distress in Reaction to News Stories**Sven Buechel, Anneke Buffone, Barry Slaff, et al.*2018 · 181 citations*](https://md.research.elamur.ai/free/en/papers/buechel-2018-modeling-empathy-distress-reaction-news/)
127. [**Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal**Aniruddha Ghosh, Tony Veale*2017 · 174 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2017-magnets-sarcasm-making-sarcasm-detection/)
128. [**An “AI readability” Formula for French as a Foreign Language**Thomas François, Cédrick Fairon*2012 · 174 citations*](https://md.research.elamur.ai/free/en/papers/francois-2012-ai-readability-formula-french-as/)
129. [**Stance Detection in COVID-19 Tweets**Kyle Glandt, Sarthak Khanal, Yingjie Li, et al.*2021 · 173 citations*](https://md.research.elamur.ai/free/en/papers/glandt-2021-stance-detection-covid-19-tweets/)
130. [**Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis**Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal, et al.*2020 · 173 citations*](https://md.research.elamur.ai/free/en/papers/chauhan-2020-sentiment-emotion-help-sarcasm-multi/)
131. [**Modeling English Past Tense Intuitions with Minimal Generalization**Adam Albright, Bruce Hayes*2002 · 173 citations*](https://md.research.elamur.ai/free/en/papers/albright-2002-modeling-english-past-tense-intuitions/)
132. [**SemEval-2021 Task 5: Toxic Spans Detection**John Pavlopoulos, Jeffrey Sorensen, Léo Laugier, et al.*2021 · 172 citations*](https://md.research.elamur.ai/free/en/papers/pavlopoulos-2021-semeval-2021-task-5-toxic/)
133. [**Reasoning Over Paragraph Effects in Situations**Kevin Lin, Oyvind Tafjord, Peter Clark, et al.*2019 · 171 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-reasoning-over-paragraph-effects-situations/)
134. [**Findings of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion**Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/chakravarthi-2021-findings-shared-task-hope-speech/)
135. [**Morfessor 2.0: Toolkit for statistical morphological segmentation**Peter Smit, Sami Virpioja, Stig-Arne Grönroos, et al.*2014 · 168 citations*](https://md.research.elamur.ai/free/en/papers/smit-2014-morfessor-2-0-toolkit-statistical/)
136. [**A Report on the 2018 VUA Metaphor Detection Shared Task**Chee Wee (Ben) Leong, Beata Beigman Klebanov, Ekaterina Shutova*2018 · 167 citations*](https://md.research.elamur.ai/free/en/papers/leong-2018-report-2018-vua-metaphor-detection/)
137. [**Epitran: Precision G2P for Many Languages**David R. Mortensen, Siddharth Dalmia, Patrick Littell*2018 · 167 citations*](https://md.research.elamur.ai/free/en/papers/mortensen-2018-epitran-precision-g2p-many-languages/)
138. [**The AMARA Corpus: Building Parallel Language Resources for the Educational Domain**Ahmed Abdelali, Francisco Guzman, Hassan Sajjad, et al.*2014 · 165 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2014-amara-corpus-building-parallel-language/)
139. [**Metaphor Corpus Annotated for Source - Target Domain Mappings**Ekaterina Shutova, Simone Teufel*2010 · 164 citations*](https://md.research.elamur.ai/free/en/papers/shutova-2010-metaphor-corpus-annotated-source-target/)
140. [**Emotions from Text: Machine Learning for Text-based Emotion Prediction**Cecilia Ovesdotter Alm, Dan Roth, Richard Sproat*2005 · 160 citations*](https://md.research.elamur.ai/free/en/papers/alm-2005-emotions-text-machine-learning-text/)
141. [**Testing the Predictions of Surprisal Theory in 11 Languages**Ethan G. Wilcox, Tiago Pimentel, Clara Meister, et al.*2023 · 158 citations*](https://md.research.elamur.ai/free/en/papers/wilcox-2023-testing-predictions-surprisal-theory-11/)
142. [**A Sentiment Analysis Dataset for Code-Mixed Malayalam-English**Bharathi Raja Chakravarthi, Navya Jose, Shardul Suryawanshi, et al.*2020 · 158 citations*](https://md.research.elamur.ai/free/en/papers/chakravarthi-2020-sentiment-analysis-dataset-code-mixed/)
143. [**A Span-Extraction Dataset for Chinese Machine Reading Comprehension**Yiming Cui, Ting Liu, Wanxiang Che, et al.*2018 · 156 citations*](https://md.research.elamur.ai/free/en/papers/cui-2018-span-extraction-dataset-chinese/)
144. [**Probing Pre-Trained Language Models for Cross-Cultural Differences in Values**Arnav Arora, Lucie-aimée Kaffee, Isabelle Augenstein*2023 · 155 citations*](https://md.research.elamur.ai/free/en/papers/arora-2023-probing-pre-trained-language-models/)
145. [**SemEval-2021 Task 1: Lexical Complexity Prediction**Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold, et al.*2021 · 155 citations*](https://md.research.elamur.ai/free/en/papers/shardlow-2021-semeval-2021-task-1-lexical/)
146. [**Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding**Will Monroe, Robert X.D. Hawkins, Noah D. Goodman, et al.*2017 · 155 citations*](https://md.research.elamur.ai/free/en/papers/monroe-2017-colors-context-pragmatic-neural-model/)
147. [**LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech**Heiga Zen, Viet Dang, Rob Clark, et al.*2019 · 151 citations*](https://md.research.elamur.ai/free/en/papers/zen-2019-libritts-corpus-derived-librispeech-text/)
148. [**TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions**Qiang Ning, Hao Wu, Rujun Han, et al.*2020 · 149 citations*](https://md.research.elamur.ai/free/en/papers/ning-2020-torque-reading-comprehension-dataset-temporal/)
149. [**Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network**Abhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya*2017 · 139 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2017-learning-cognitive-features-gaze-data/)
150. [**A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task**Chee Wee (Ben) Leong, Beata Beigman Klebanov, Chris Hamill, et al.*2020 · 138 citations*](https://md.research.elamur.ai/free/en/papers/leong-2020-report-2020-vua-toefl-metaphor/)
151. [**Experimenting with the king of France: Topics, verifiability and definite descriptions**Márta Abrusán, Kriszta Szendrői*2013 · 132 citations*](https://md.research.elamur.ai/free/en/papers/abrusan-2013-experimenting-king-france-topics-verifiability/)
152. [**Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus**Hendrik Schuff, Jeremy Barnes, Julian Mohme, et al.*2017 · 129 citations*](https://md.research.elamur.ai/free/en/papers/schuff-2017-annotation-modelling-analysis-fine-grained/)
153. [**SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents**Xuhui Zhou, Hao Zhu, Leena Mathur, et al.*2023 · 127 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-sotopia-interactive-evaluation-social-intelligence/)
154. [**Comprehensive Annotation of Multiword Expressions in a Social Web Corpus**Nathan Schneider, Spencer Onuffer, Nora Kazour, et al.*2014 · 120 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2014-comprehensive-annotation-multiword-expressions-social/)
155. [**Pretraining Language Models with Human Preferences**Tomasz Korbak, Kejian Shi, Angelica Chen, et al.*2023 · 117 citations*](https://md.research.elamur.ai/free/en/papers/korbak-2023-pretraining-language-models-human-preferences/)
156. [**MorphoLex: A derivational morphological database for 70,000 English words**Claudia H. Sánchez-Gutiérrez, Hugo Mailhot, S. Hélène Deacon, et al.*2018 · 115 citations*](https://md.research.elamur.ai/free/en/papers/gutierrez-2018-sanchezgutierrez-morpholex/)
157. [**The FrameNet tagset for frame-semantic and syntactic coding of predicate-argument structure**Christopher Johnson, Charles J. Fillmore*2000 · 115 citations*](https://md.research.elamur.ai/free/en/papers/johnson-2000-framenet-tagset-frame-semantic-syntactic/)
158. [**From Persona to Personalization: A Survey on Role-Playing Language Agents**Jiangjie Chen, Xintao Wang, Rui Xu, et al.*2024 · 114 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-persona-personalization-survey-role-playing/)
159. [**Word Affect Intensities**Saif Mohammad*2018 · 114 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2018-word-affect-intensities/)
160. [**Aggression-annotated Corpus of Hindi-English Code-mixed Data**Ritesh Kumar, Aishwarya N. Reganti, Akshit Bhatia, et al.*2018 · 113 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2018-aggression-annotated-corpus-hindi-english/)
161. [**Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes**Hyunwoo Kim, Byeongchang Kim, Gunhee Kim*2021 · 90 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-perspective-taking-pragmatics-generating-empathetic/)
162. [**Get that into your head: Tigre vowel harmonies as templatic**Noam Faust*2017 · 89 citations*](https://md.research.elamur.ai/free/en/papers/faust-2017-get-that-into-your-head/)
163. [**Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series ‘Friends'**Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.*2016 · 87 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-harnessing-sequence-labeling-sarcasm-detection/)
164. [**Harnessing Cognitive Features for Sarcasm Detection**Abhijit Mishra, Diptesh Kanojia, Seema Nagar, et al.*2016 · 85 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2016-harnessing-cognitive-features-sarcasm-detection/)
165. [**Putting Sarcasm Detection into Context: The Effects of Class Imbalance and Manual Labelling on Supervised Machine Classification of Twitter Conversations**Gavin Abercrombie, Dirk Hovy*2016 · 85 citations*](https://md.research.elamur.ai/free/en/papers/abercrombie-2016-putting-sarcasm-detection-into-context/)
166. [**Towards a Contextual Pragmatic Model to Detect Irony in Tweets**Jihen Karoui, Farah Benamara Zitoune, Véronique Moriceau, et al.*2015 · 81 citations*](https://md.research.elamur.ai/free/en/papers/karoui-2015-contextual-pragmatic-model-detect-irony/)
167. [**A Neural Network Approach to Selectional Preference Acquisition**Van de Cruys, Tim*2014 · 79 citations*](https://md.research.elamur.ai/free/en/papers/cruys-2014-neural-network-approach-selectional-preference/)
168. [**Towards Emotion-aided Multi-modal Dialogue Act Classification**Tulika Saha, Aditya Patra, Sriparna Saha, et al.*2020 · 78 citations*](https://md.research.elamur.ai/free/en/papers/saha-2020-emotion-aided-multi-modal-dialogue/)
169. [**The SIGMORPHON 2022 Shared Task on Morpheme Segmentation**Khuyagbaatar Batsuren, Gabor Bella, Aryaman Arora*2022 · 71 citations*](https://md.research.elamur.ai/free/en/papers/batsuren-2022-morpheme-segmentation/)
170. [**Multiword Expressions in the wild? The mwetoolkit comes in handy**Carlos Ramisch, Aline Villavicencio, Christian Boitet*2010 · 69 citations*](https://md.research.elamur.ai/free/en/papers/ramisch-2010-multiword-expressions-wild-mwetoolkit-comes/)
171. [**Multi-task dialog act and sentiment recognition on Mastodon**Christophe Cerisara, Somayeh Jafaritazehjani, Adedayo Oluokun, et al.*2018 · 66 citations*](https://md.research.elamur.ai/free/en/papers/cerisara-2018-multi-task-dialog-act-sentiment/)
172. [**Using an Error-Annotated Learner Corpus to Develop an ESL/EFL Error Correction System**Na-Rae Han, Joel Tetreault, Soo-Hwa Lee, et al.*2010 · 62 citations*](https://md.research.elamur.ai/free/en/papers/han-2010-error-annotated-learner-corpus-develop/)
173. [**ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets**Ramy Baly, Alaa Khaddaj, Hazem Hajj, et al.*2019 · 60 citations*](https://md.research.elamur.ai/free/en/papers/baly-2019-arsentd-lev-multi-topic-corpus/)
174. [**An Affect-Enriched Dialogue Act Classification Model for Task-Oriented Dialogue**Kristy Boyer, Joseph Grafsgaard, Eun Young Ha, et al.*2011 · 60 citations*](https://md.research.elamur.ai/free/en/papers/boyer-2011-affect-enriched-dialogue-act-classification/)
175. [**iSarcasm: A Dataset of Intended Sarcasm**Silviu Oprea, Walid Magdy*2020 · 57 citations*](https://md.research.elamur.ai/free/en/papers/oprea-2020-isarcasm-dataset-intended-sarcasm/)
176. [**FrameNet: A Knowledge Base for Natural Language Processing**Collin F. Baker*2014 · 56 citations*](https://md.research.elamur.ai/free/en/papers/baker-2014-framenet-knowledge-base-natural-language/)
177. [**A preference semantics for imperatives**William B Starr*2020 · 55 citations*](https://md.research.elamur.ai/free/en/papers/starr-2020-preference-semantics-imperatives/)
178. [**Unsupervised Grammar Induction with Depth-bounded PCFG**Lifeng Jin, Finale Doshi-Velez, Timothy Miller, et al.*2018 · 55 citations*](https://md.research.elamur.ai/free/en/papers/jin-2018-unsupervised-grammar-induction-depth-bounded/)
179. [**Reflexive verbs in Hebrew: Deep unaccusativity meets lexical semantics**Itamar Kastner*2017 · 52 citations*](https://md.research.elamur.ai/free/en/papers/kastner-2017-reflexive-verbs-hebrew-deep-unaccusativity/)
180. [**A Sentence Judgment System for Grammatical Error Detection**Lung-Hao Lee, Liang-Chih Yu, Kuei-Ching Lee, et al.*2014 · 51 citations*](https://md.research.elamur.ai/free/en/papers/lee-2014-sentence-judgment-system-grammatical-error/)
181. [**Metaphor Understanding Challenge Dataset for LLMs**Xiaoyu Tong, Rochelle Choenni, Martha Lewis, et al.*2024 · 47 citations*](https://md.research.elamur.ai/free/en/papers/tong-2024-metaphor-understanding-challenge-dataset-llms/)
182. [**How Do Cultural Differences Impact the Quality of Sarcasm Annotation?: A Case Study of Indian Annotators and American Text**Aditya Joshi, Pushpak Bhattacharyya, Mark Carman, et al.*2016 · 46 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-how-do-cultural-differences-impact/)
183. [**Mining Subjective Knowledge from Customer Reviews: A Specific Case of Irony Detection**Antonio Reyes, Paolo Rosso*2011 · 46 citations*](https://md.research.elamur.ai/free/en/papers/reyes-2011-mining-subjective-knowledge-customer-reviews/)
184. [**Annotating Sentiment and Irony in the Online Italian Political Debate on #labuonascuola**Marco Stranisci, Cristina Bosco, Delia Irazú Hernández Farías, et al.*2016 · 45 citations*](https://md.research.elamur.ai/free/en/papers/stranisci-2016-annotating-sentiment-irony-online-italian/)
185. [**Implicatures and Nested Beliefs in Approximate Decentralized-POMDPs**Adam Vogel, Christopher Potts, Dan Jurafsky*2013 · 45 citations*](https://md.research.elamur.ai/free/en/papers/vogel-2013-implicatures-nested-beliefs-approximate-decentralized/)
186. [**Abstraction and Generalisation in Semantic Role Labels: PropBank, VerbNet or both?**Paola Merlo, Lonneke van der Plas*2009 · 45 citations*](https://md.research.elamur.ai/free/en/papers/merlo-2009-abstraction-generalisation-semantic-role-labels/)
187. [**Outsourcing FrameNet to the Crowd**Marco Fossati, Claudio Giuliano, Sara Tonelli*2013 · 44 citations*](https://md.research.elamur.ai/free/en/papers/fossati-2013-outsourcing-framenet-crowd/)
188. [**What Does Your Smile Mean? Jointly Detecting Multi-Modal Sarcasm and Sentiment Using Quantum Probability**Yaochen Liu, Yazhou Zhang, Qiuchi Li, et al.*2021 · 43 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-what-does-your-smile-mean/)
189. [**EPIC: Multi-Perspective Annotation of a Corpus of Irony**Simona Frenda, Alessandro Pedrani, Valerio Basile, et al.*2023 · 41 citations*](https://md.research.elamur.ai/free/en/papers/frenda-2023-epic-multi-perspective-annotation-corpus/)
190. [**Anticausatives are semantically reflexive in Norwegian, but not in English**Björn Lundquist, Martin Corley, Mai Tungseth, et al.*2016 · 41 citations*](https://md.research.elamur.ai/free/en/papers/lundquist-2016-anticausatives-are-semantically-reflexive-norwegian/)
191. [**ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset**Basma Alharbi, Hind Alamro, Manal Alshehri, et al.*2020 · 39 citations*](https://md.research.elamur.ai/free/en/papers/alharbi-2020-asad-twitter-based-benchmark-arabic/)
192. [**STARC: Structured Annotations for Reading Comprehension**Yevgeni Berzak, Jonathan Malmaud, Roger Levy*2020 · 38 citations*](https://md.research.elamur.ai/free/en/papers/berzak-2020-starc-structured-annotations-reading-comprehension/)
193. [**Talking about the weather: Two construals of precipitation events in English**Beth Levin, Bonnie Krejci*2019 · 38 citations*](https://md.research.elamur.ai/free/en/papers/levin-2019-talking-about-weather-two-construals/)
194. [**No case for Case in locality: Case does not help interpretation when intervention blocks A-bar chains**Naama Friedmann, Luigi Rizzi, Adriana Belletti*2017 · 37 citations*](https://md.research.elamur.ai/free/en/papers/friedmann-2017-no-case-case-locality-case/)
195. [**Reactive Supervision: A New Method for Collecting Sarcasm Data**Boaz Shmueli, Lun-Wei Ku, Soumya Ray*2020 · 36 citations*](https://md.research.elamur.ai/free/en/papers/shmueli-2020-reactive-supervision-new-method-collecting/)
196. [**A Multimodal Corpus for Emotion Recognition in Sarcasm**Anupama Ray, Shubham Mishra, Apoorva Nunna, et al.*2022 · 35 citations*](https://md.research.elamur.ai/free/en/papers/ray-2022-multimodal-corpus-emotion-recognition-sarcasm/)
197. [**An Incremental Iterated Response Model of Pragmatics**Reuben Cohn-Gordon, Noah Goodman, Christopher Potts*2019 · 35 citations*](https://md.research.elamur.ai/free/en/papers/gordon-2019-incremental-iterated-response-model-pragmatics/)
198. [**A Corpus of Preposition Supersenses**Nathan Schneider, Jena D. Hwang, Vivek Srikumar, et al.*2016 · 34 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2016-corpus-preposition-supersenses/)
199. [**Left Dislocation in North-Eastern Neo-Aramaic dialects**Geoffrey Khan*2016 · 34 citations*](https://md.research.elamur.ai/free/en/papers/khan-2016-left-dislocation-north-eastern-neo/)
200. [**At the interface of syntax and prosody: Differentiating left dislocated and tripartite verbless clauses in Biblical Hebrew**Jacobus A. Naudé, Cynthia L. Miller-Naudé*2017 · 32 citations*](https://md.research.elamur.ai/free/en/papers/naude-2018-interface-syntax-prosody-differentiating-left/)
201. [**Which bridges for bridging definite descriptions?**Claire Gardent, Hélène Manuélian, Eric Kow*2003 · 32 citations*](https://md.research.elamur.ai/free/en/papers/gardent-2003-which-bridges-bridging-definite-descriptions/)
202. [**Interactive Agents: Simulating Counselor-Client Psychological Counseling via Role-Playing LLM-to-LLM Interactions**Huachuan Qiu, Zhenzhong Lan*2026 · 31 citations*](https://md.research.elamur.ai/free/en/papers/qiu-2026-interactive-agents-simulating-counselor-client/)
203. [**Approximating an Interlingua in a Principled Way**Eduard Hovy, Sergei Nirenburg*1992 · 31 citations*](https://md.research.elamur.ai/free/en/papers/hovy-1992-approximating-interlingua-principled-way/)
204. [**Reciprocal expressions and the Maximal Typicality Hypothesis**Eva B. Poortman, Marijn E. Struiksma, Nir Kerem, et al.*2018 · 30 citations*](https://md.research.elamur.ai/free/en/papers/poortman-2018-reciprocal-expressions-maximal-typicality-hypothesis/)
205. [**CatVar: A Database of Categorial Variations for English**Nizar Habash, Bonnie Dorr*2003 · 30 citations*](https://md.research.elamur.ai/free/en/papers/habash-2003-catvar/)
206. [**A Quantitative Model of Word Order and Movement in English, Dutch and German Complement Constructions**Karin Harbusch, Gerard Kempen*2002 · 30 citations*](https://md.research.elamur.ai/free/en/papers/harbusch-2002-quantitative-model-word-order-movement/)
207. [**Detecting Suicidality in Arabic Tweets Using Machine Learning and Deep Learning Techniques**Asma Abdulsalam, Areej Alhothali, Saleh Al-Ghamdi*2023 · 29 citations*](https://md.research.elamur.ai/free/en/papers/abdulsalam-2023-detecting-suicidality-arabic-tweets-using/)
208. [**Arabic Word-level Readability Visualization for Assisted Text Simplification**Reem Hazim, Hind Saddiki, Bashar Alhafni, et al.*2022 · 29 citations*](https://md.research.elamur.ai/free/en/papers/hazim-2022-arabic-word-level-readability-visualization/)
209. [**“When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of Text**Abhijeet Dubey, Lakshya Kumar, Arpan Somani, et al.*2019 · 29 citations*](https://md.research.elamur.ai/free/en/papers/dubey-2019-when-numbers-matter-detecting-sarcasm/)
210. [**A Large and Balanced Corpus for Fine-grained Arabic Readability Assessment**Khalid N. Elmadani, Nizar Habash, Hanada Taha-Thomure*2025 · 28 citations*](https://md.research.elamur.ai/free/en/papers/elmadani-2025-large-balanced-corpus-fine-grained/)
211. [**Adposition and Case Supersenses v2.6: Guidelines for English**Nathan Schneider, Jena D. Hwang, Vivek Srikumar, et al.*2017 · 28 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2017-adposition-case-supersenses-v2-6/)
212. [**The Role of Modifier and Head Properties in Predicting the Compositionality of English and German Noun-Noun Compounds: A Vector-Space Perspective**Sabine Schulte im Walde, Anna Hätty, Stefan Bott*2016 · 28 citations*](https://md.research.elamur.ai/free/en/papers/walde-2016-role-modifier-head-properties-predicting/)
213. [**KoKo: an L1 Learner Corpus for German**Andrea Abel, Aivars Glaznieks, Lionel Nicolas, et al.*2014 · 28 citations*](https://md.research.elamur.ai/free/en/papers/abel-2014-koko-l1-learner-corpus-german/)
214. [**ClArTTS: An Open-Source Classical Arabic Text-to-Speech Corpus**Ajinkya Kulkarni, Atharva Kulkarni, Sara Abedalmonem Mohammad Shatnawi, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/kulkarni-2023-clartts-open-source-classical-arabic/)
215. [**Expectations over Unspoken Alternatives Predict Pragmatic Inferences**Jennifer Hu, Roger Levy, Judith Degen, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-expectations-over-unspoken-alternatives-predict/)
216. [**Becoming Linguistically Mature: Modeling English and German Children's Writing Development Across School Grades**Elma Kerz, Yu Qiao, Daniel Wiechmann, et al.*2020 · 27 citations*](https://md.research.elamur.ai/free/en/papers/kerz-2020-becoming-linguistically-mature-modeling-english/)
217. [**The phonology and micro-typology of Arabic R**Islam Youssef*2019 · 27 citations*](https://md.research.elamur.ai/free/en/papers/youssef-2019-phonology-micro-typology-arabic-r/)
218. [**VerbNet Representations: Subevent Semantics for Transfer Verbs**Susan Windisch Brown, Julia Bonn, James Gung, et al.*2019 · 27 citations*](https://md.research.elamur.ai/free/en/papers/brown-2019-verbnet-representations-subevent-semantics-transfer/)
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