---
title: "Who cites Sam Clark"
description: "329 papers of the Elamur Research library cite the works of Sam Clark, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/sam-clark/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sam-clark/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Sam Clark](https://md.research.elamur.ai/free/en/authors/sam-clark/) / cited by

# Who cites Sam Clark

358 citations of their works from 329 papers of our library (of the 140,884 whose bibliographies we read) · 35 with a page here, the most cited first · [← Sam Clark](https://md.research.elamur.ai/free/en/authors/sam-clark/)

1. [**BERTweet: A pre-trained language model for English Tweets**Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen*2020 · 1,139 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2020-bertweet-pre-trained-language-model/)
2. [**SemEval-2016 Task 4: Sentiment Analysis in Twitter**Preslav Nakov, Alan Ritter, Sara Rosenthal, et al.*2016 · 1,081 citations*](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-4-sentiment/)
3. [**TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification**Francesco Barbieri, Jose Camacho-Collados, Leonardo Neves, et al.*2020 · 952 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2020-tweeteval-unified-benchmark-comparative-evaluation/)
4. [**SemEval-2014 Task 9: Sentiment Analysis in Twitter**Sara Rosenthal, Alan Ritter, Preslav Nakov, et al.*2014 · 741 citations*](https://md.research.elamur.ai/free/en/papers/rosenthal-2014-semeval-2014-task-9-sentiment/)
5. [**Dice Loss for Data-imbalanced NLP Tasks**Xiaoya Li, Xiaofei Sun, Yuxian Meng, et al.*2020 · 734 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-dice-loss-data-imbalanced-nlp/)
6. [**SemEval-2015 Task 10: Sentiment Analysis in Twitter**Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, et al.*2015 · 490 citations*](https://md.research.elamur.ai/free/en/papers/rosenthal-2015-semeval-2015-task-10-sentiment/)
7. [**Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings**Nanyun Peng, Mark Dredze*2015 · 481 citations*](https://md.research.elamur.ai/free/en/papers/peng-2015-named-entity-recognition-chinese-social/)
8. [**What to do about bad language on the internet**Jacob Eisenstein*2013 · 469 citations*](https://md.research.elamur.ai/free/en/papers/eisenstein-2013-what-do-about-bad-language/)
9. [**Tailoring Continuous Word Representations for Dependency Parsing**Mohit Bansal, Kevin Gimpel, Karen Livescu*2014 · 418 citations*](https://md.research.elamur.ai/free/en/papers/bansal-2014-tailoring-continuous-word-representations-dependency/)
10. [**That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets**William Yang Wang, Diyi Yang*2015 · 391 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-that-s-so-annoying-lexical/)
11. [**Few-NERD: A Few-shot Named Entity Recognition Dataset**Ning Ding, Guangwei Xu, Yulin Chen, et al.*2021 · 334 citations*](https://md.research.elamur.ai/free/en/papers/ding-2021-few-nerd-few-shot-named/)
12. [**Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data**Leon Derczynski, Alan Ritter, Sam Clark, et al.*2013 · 316 citations*](https://md.research.elamur.ai/free/en/papers/derczynski-2013-twitter-part-speech-tagging-all/)
13. [**A Dependency Parser for Tweets**Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, et al.*2014 · 298 citations*](https://md.research.elamur.ai/free/en/papers/kong-2014-dependency-parser-tweets/)
14. [**Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition**Timothy Baldwin, Marie Catherine de Marneffe, Bo Han, et al.*2015 · 287 citations*](https://md.research.elamur.ai/free/en/papers/baldwin-2015-shared-tasks-2015-workshop-noisy/)
15. [**How Noisy Social Media Text, How Diffrnt Social Media Sources?**Timothy Baldwin, Paul Cook, Marco Lui, et al.*2013 · 275 citations*](https://md.research.elamur.ai/free/en/papers/baldwin-2013-how-noisy-social-media-text/)
16. [**XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond**Francesco Barbieri, Luis Espinosa Anke, Jose Camacho-Collados*2022 · 271 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2022-xlm-t-multilingual-language-models/)
17. [**Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters**Olutobi Owoputi, Brendan O'Connor, Chris Dyer, et al.*2013 · 243 citations*](https://md.research.elamur.ai/free/en/papers/owoputi-2013-improved-part-speech-tagging-online/)
18. [**SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)**Wei Xu, Chris Callison-Burch, Bill Dolan*2015 · 230 citations*](https://md.research.elamur.ai/free/en/papers/xu-2015-semeval-2015-task-1-paraphrase/)
19. [**SemEval-2013 Task 2: Sentiment Analysis in Twitter**Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva, et al.*2013 · 200 citations*](https://md.research.elamur.ai/free/en/papers/nakov-2013-semeval-2013-task-2-sentiment/)
20. [**Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns**Attapol Rutherford, Nianwen Xue*2014 · 191 citations*](https://md.research.elamur.ai/free/en/papers/rutherford-2014-discovering-implicit-discourse-relations-through/)
21. [**Learning part-of-speech taggers with inter-annotator agreement loss**Barbara Plank, Dirk Hovy, Anders Søgaard*2014 · 178 citations*](https://md.research.elamur.ai/free/en/papers/plank-2014-learning-part-speech-taggers-inter/)
22. [**Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut**Nathan Schneider, Emily Danchik, Chris Dyer, et al.*2014 · 159 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2014-discriminative-lexical-semantic-segmentation-gaps/)
23. [**Parsing Tweets into Universal Dependencies**Yijia Liu, Yi Zhu, Wanxiang Che, et al.*2018 · 121 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-parsing-tweets-into-universal-dependencies/)
24. [**Modelling Irony in Twitter**Francesco Barbieri, Horacio Saggion*2014 · 104 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2014-modelling-irony-twitter/)
25. [**SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)**Nathan Schneider, Dirk Hovy, Anders Johannsen, et al.*2016 · 100 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2016-semeval-2016-task-10-detecting/)
26. [**Twitter Universal Dependency Parsing for African-American and Mainstream American English**Su Lin Blodgett, Johnny Wei, Brendan O'Connor*2018 · 92 citations*](https://md.research.elamur.ai/free/en/papers/blodgett-2018-twitter-universal-dependency-parsing-african/)
27. [**Monday mornings are my fave :) #not Exploring the Automatic Recognition of Irony in English tweets**Cynthia Van Hee, Els Lefever, Véronique Hoste*2016 · 59 citations*](https://md.research.elamur.ai/free/en/papers/hee-2016-monday-mornings-are-my-fave/)
28. [**Noise-Robust Morphological Disambiguation for Dialectal Arabic**Nasser Zalmout, Alexander Erdmann, Nizar Habash*2018 · 42 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2018-noise-robust-morphological-disambiguation-dialectal/)
29. [**We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter**Cynthia Van Hee, Els Lefever, Véronique Hoste*2018 · 39 citations*](https://md.research.elamur.ai/free/en/papers/hee-2018-we-usually-don-t-like/)
30. [**Habibi - a multi Dialect multi National Arabic Song Lyrics Corpus**Mahmoud El-Haj*2020 · 38 citations*](https://md.research.elamur.ai/free/en/papers/haj-2020-habibi-multi-dialect-multi-national/)
31. [**Anaphora Resolution for Twitter Conversations: An Exploratory Study**Berfin Aktaş, Tatjana Scheffler, Manfred Stede*2018 · 31 citations*](https://md.research.elamur.ai/free/en/papers/aktas-2018-anaphora-resolution-twitter-conversations-exploratory/)
32. [**From Shakespeare to Twitter: What are Language Styles all about?**Wei Xu*2017 · 29 citations*](https://md.research.elamur.ai/free/en/papers/xu-2017-shakespeare-twitter-what-are-language/)
33. [**Now We Stronger than Ever: African-American English Syntax in Twitter**Ian Stewart*2014 · 25 citations*](https://md.research.elamur.ai/free/en/papers/stewart-2014-now-we-stronger-than-ever/)
34. [**AMALGUM – A Free, Balanced, Multilayer English Web Corpus**Luke Gessler, Siyao Peng, Yang Liu, et al.*2020 · 16 citations*](https://md.research.elamur.ai/free/en/papers/gessler-2020-amalgum-free-balanced-multilayer-english/)
35. [**Fast and Robust POS tagger for Arabic Tweets Using Agreement-based Bootstrapping**Fahad Albogamy, Allan Ramsay*2016 · 11 citations*](https://md.research.elamur.ai/free/en/papers/albogamy-2016-fast-robust-pos-tagger-arabic/)

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

- [← back to](https://md.research.elamur.ai/free/en/authors/sam-clark/) — Sam Clark