---
title: "Who cites Richard Sproat"
description: "348 papers of the Elamur Research library cite the works of Richard Sproat, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/richard-sproat/cited-by/"
---
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# Who cites Richard Sproat

360 citations of their works from 348 papers of our library (of the 140,884 whose bibliographies we read) · 17 with a page here, the most cited first · [← Richard Sproat](https://md.research.elamur.ai/free/en/authors/richard-sproat/)

1. [**Learning Word Vectors for Sentiment Analysis**Andrew L. Maas, Raymond E. Daly, Peter T. Pham, et al.*2011 · 4,272 citations*](https://md.research.elamur.ai/free/en/papers/maas-2011-learning-word-vectors-sentiment-analysis/)
2. [**Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon**Saif Mohammad, Peter Turney*2010 · 1,005 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2010-emotions-evoked-common-words-phrases/)
3. [**From Frequency to Meaning: Vector Space Models of Semantics**Peter D. Turney, Patrick Pantel*2010 · 554 citations*](https://md.research.elamur.ai/free/en/papers/turney-2010-frequency-meaning-vector-space-models/)
4. [**ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection**Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, et al.*2018 · 523 citations*](https://md.research.elamur.ai/free/en/papers/hazarika-2018-icon-interactive-conversational-memory-network/)
5. [**Chinese Word Segmentation as Character Tagging**Nianwen Xue*2003 · 504 citations*](https://md.research.elamur.ai/free/en/papers/xue-2003-chinese-word-segmentation-as-character/)
6. [**Learning Multilingual Subjective Language via Cross-Lingual Projections**Rada Mihalcea, Carmen Banea, Janyce Wiebe*2007 · 482 citations*](https://md.research.elamur.ai/free/en/papers/mihalcea-2007-learning-multilingual-subjective-language-cross/)
7. [**A Conditional Random Field Word Segmenter for Sighan Bakeoff 2005**Huihsin Tseng, Pichuan Chang, Galen Andrew, et al.*2005 · 431 citations*](https://md.research.elamur.ai/free/en/papers/tseng-2005-conditional-random-field-word-segmenter/)
8. [**SemEval-2019 Task 3: EmoContext Contextual Emotion Detection in Text**Ankush Chatterjee, Kedhar Nath Narahari, Meghana Joshi, et al.*2019 · 409 citations*](https://md.research.elamur.ai/free/en/papers/chatterjee-2019-semeval-2019-task-3-emocontext/)
9. [**The Third International Chinese Language Processing Bakeoff: Word Segmentation and Named Entity Recognition**Gina-Anne Levow*2006 · 389 citations*](https://md.research.elamur.ai/free/en/papers/levow-2006-third-international-chinese-language-processing/)
10. [**WASSA-2017 Shared Task on Emotion Intensity**Saif Mohammad, Felipe Bravo-Marquez*2017 · 368 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2017-wassa-2017-shared-task-emotion/)
11. [**Emotion Intensities in Tweets**Saif Mohammad, Felipe Bravo-Marquez*2017 · 290 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2017-emotion-intensities-tweets/)
12. [**Metaphor as a Medium for Emotion: An Empirical Study**Saif Mohammad, Ekaterina Shutova, Peter Turney*2016 · 285 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2016-metaphor-as-medium-emotion-empirical/)
13. [**Chinese Part-of-Speech Tagging: One-at-a-Time or All-at-Once? Word-Based or Character-Based?**Hwee Tou Ng, Jin Kiat Low*2004 · 243 citations*](https://md.research.elamur.ai/free/en/papers/ng-2004-chinese-part-speech-tagging-one/)
14. [**The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse**Pere-Lluís Huguet Cabot, Verna Dankers, David Abadi, et al.*2020 · 64 citations*](https://md.research.elamur.ai/free/en/papers/cabot-2020-pragmatics-behind-politics-modelling-metaphor/)
15. [**Word Segmentation for Akkadian Cuneiform**Timo Homburg, Christian Chiarcos*2016 · 4 citations*](https://md.research.elamur.ai/free/en/papers/homburg-2016-word-segmentation-akkadian-cuneiform/)
16. [**Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations**Shaomu Tan, Ryosuke Mitani, Ritvik Choudhary, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/tan-2026-remedy-r-generative-reasoning-machine/)
17. [**How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection**Xiaomeng Ma, Lingyu Gao*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/ma-2022-how-do-we-get-there/)

331 more citing papers of our library have no page here yet.

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