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Workshop on Noisy User-generated Text 2020 — accepted papers

Workshop on Noisy User-generated Text 2020 is the 2020 edition of the Workshop on Noisy User-generated Text, held in Online, November 2020 (publisher: Association for Computational Linguistics). The ACL Anthology lists 80 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

 80papers in the proceedings 1work in our library 6citations of these works Onlinewhere it was held November 2020when

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

  1. WNUT-2020 Task 2: Identification of Informative COVID-19 English TweetsDat Quoc Nguyen, Thanh Vu, Afshin Rahimi et al.73 citations
  2. Punctuation Restoration using Transformer Models for High-and Low-Resource LanguagesTanvirul Alam, Akib Khan, Firoj Alam72 citations
  3. Noisy Text Data: Achilles' Heel of BERTAnkit Kumar, Piyush Makhija, Anuj Gupta60 citations
  4. Cross-lingual sentiment classification in low-resource Bengali languageSalim Sazzed51 citations
  5. PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine TranslationVivek Srivastava, Mayank Singh33 citations
  6. Combining BERT with Static Word Embeddings for Categorizing Social MediaIsraa Alghanmi, Luis Espinosa Anke, Steven Schockaert32 citations
  7. Civil Unrest on Twitter (CUT): A Dataset of Tweets to Support Research on Civil UnrestJustin Sech, Alexandra DeLucia, Anna L. Buczak et al.20 citations
  8. “Did you really mean what you said?” : Sarcasm Detection in Hindi-English Code-Mixed Data using Bilingual Word EmbeddingsAkshita Aggarwal, Anshul Wadhawan, Anshima Chaudhary et al.20 citations
  9. InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet ExtractionHansi Hettiarachchi, Tharindu Ranasinghe18 citations
  10. Detecting Trending Terms in Cybersecurity Forum DiscussionsJack Hughes, Seth Aycock, Andrew Caines et al.17 citations

All accepted papers (80)

The most cited first; 1 with our summary link to their page here, the others to the original.

  1. WNUT-2020 Task 2: Identification of Informative COVID-19 English TweetsDat Quoc Nguyen, Thanh Vu, Afshin Rahimi et al.73 citations
  2. Punctuation Restoration using Transformer Models for High-and Low-Resource LanguagesTanvirul Alam, Akib Khan, Firoj Alam72 citations
  3. Noisy Text Data: Achilles' Heel of BERTAnkit Kumar, Piyush Makhija, Anuj Gupta60 citations
  4. Cross-lingual sentiment classification in low-resource Bengali languageSalim Sazzed51 citations
  5. PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine TranslationVivek Srivastava, Mayank Singh33 citations
  6. Combining BERT with Static Word Embeddings for Categorizing Social MediaIsraa Alghanmi, Luis Espinosa Anke, Steven Schockaert32 citations
  7. Civil Unrest on Twitter (CUT): A Dataset of Tweets to Support Research on Civil UnrestJustin Sech, Alexandra DeLucia, Anna L. Buczak et al.20 citations
  8. “Did you really mean what you said?” : Sarcasm Detection in Hindi-English Code-Mixed Data using Bilingual Word EmbeddingsAkshita Aggarwal, Anshul Wadhawan, Anshima Chaudhary et al.20 citations
  9. InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet ExtractionHansi Hettiarachchi, Tharindu Ranasinghe18 citations
  10. Detecting Trending Terms in Cybersecurity Forum DiscussionsJack Hughes, Seth Aycock, Andrew Caines et al.17 citations
  11. NLP North at WNUT-2020 Task 2: Pre-training versus Ensembling for Detection of Informative COVID-19 English TweetsAnders Giovanni Møller, Rob van der Goot, Barbara Plank17 citations
  12. NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial TrainingPriyanshu Kumar, Aadarsh Singh17 citations
  13. WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab ProtocolsJeniya Tabassum, Wei Xu, Alan Ritter17 citations
  14. BiTeM at WNUT 2020 Shared Task-1: Named Entity Recognition over Wet Lab Protocols using an Ensemble of Contextual Language ModelsJulien Knafou, Nona Naderi, Jenny Copara et al.16 citations
  15. NIT_COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English TweetsJagadeesh M S, Alphonse P J A14 citations
  16. Representation learning of writing styleJulien Hay, Bich-Lien Doan, Fabrice Popineau et al.14 citations
  17. The Non-native Speaker Aspect: Indian English in Social MediaRupak Sarkar, Sayantan Mahinder, Ashiqur KhudaBukhsh13 citations
  18. An Empirical Survey of Unsupervised Text Representation Methods on Twitter DataLili Wang, Chongyang Gao, Jason Wei et al.11 citations
  19. Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than OthersAparna Balagopalan, Ksenia Shkaruta, Jekaterina Novikova11 citations
  20. Quantifying the Evaluation of Heuristic Methods for Textual Data AugmentationOmid Kashefi, Rebecca Hwa11 citations
  21. An Empirical Analysis of Human-Bot Interaction on RedditMing-Cheng Ma, John P. Lalor9 citations
  22. Tweeki: Linking Named Entities on Twitter to a Knowledge GraphBahareh Harandizadeh, Sameer Singh9 citations
  23. UIT-HSE at WNUT-2020 Task 2: Exploiting CT-BERT for Identifying COVID-19 Information on the Twitter Social NetworkKhiem Tran, Hao Phan, Kiet Nguyen et al.9 citations
  24. mgsohrab at WNUT 2020 Shared Task-1: Neural Exhaustive Approach for Entity and Relation Recognition Over Wet Lab ProtocolsMohammad Golam Sohrab, Anh-Khoa Duong Nguyen, Makoto Miwa et al.9 citations
  25. May I Ask Who's Calling? Named Entity Recognition on Call Center Transcripts for Privacy Law ComplianceMicaela Kaplan8 citations

See all 80 papers in Workshop on Noisy User-generated Text 2020 — accepted papers →

 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

  1. Sentence Boundary Detection on Line Breaks in JapaneseYuta Hayashibe, Kensuke Mitsuzawa2020 · 6 citations

 Top topics

Topics of its works in our library, with the number of works on each.

Tokenization & segmentation (1)English (1)

 Fields

Arts and Humanities (1)Computer Science (1)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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