---
title: "Workshop on Noisy User-generated Text 2020 — accepted papers"
description: "Workshop on Noisy User-generated Text 2020 — accepted papers: 1 paper in the Elamur Research library (Online), with our summaries…"
canonical: "https://research.elamur.ai/free/en/venues/wnut/2020/"
---
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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.

[**80** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/wnut/2020/#works) · [**6** citations of these works](https://md.research.elamur.ai/free/en/venues/wnut/2020/#works)**Online** where it was held**November 2020** when

## 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 Tweets ↗](https://aclanthology.org/2020.wnut-1.41/)**Dat Quoc Nguyen, Thanh Vu, Afshin Rahimi et al.*73 citations*
2. **[Punctuation Restoration using Transformer Models for High-and Low-Resource Languages ↗](https://aclanthology.org/2020.wnut-1.18/)**Tanvirul Alam, Akib Khan, Firoj Alam*72 citations*
3. **[Noisy Text Data: Achilles' Heel of BERT ↗](https://aclanthology.org/2020.wnut-1.3/)**Ankit Kumar, Piyush Makhija, Anuj Gupta*60 citations*
4. **[Cross-lingual sentiment classification in low-resource Bengali language ↗](https://aclanthology.org/2020.wnut-1.8/)**Salim Sazzed*51 citations*
5. **[PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation ↗](https://aclanthology.org/2020.wnut-1.7/)**Vivek Srivastava, Mayank Singh*33 citations*
6. **[Combining BERT with Static Word Embeddings for Categorizing Social Media ↗](https://aclanthology.org/2020.wnut-1.5/)**Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert*32 citations*
7. **[Civil Unrest on Twitter (CUT): A Dataset of Tweets to Support Research on Civil Unrest ↗](https://aclanthology.org/2020.wnut-1.28/)**Justin 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 Embeddings ↗](https://aclanthology.org/2020.wnut-1.2/)**Akshita Aggarwal, Anshul Wadhawan, Anshima Chaudhary et al.*20 citations*
9. **[InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction ↗](https://aclanthology.org/2020.wnut-1.49/)**Hansi Hettiarachchi, Tharindu Ranasinghe*18 citations*
10. **[Detecting Trending Terms in Cybersecurity Forum Discussions ↗](https://aclanthology.org/2020.wnut-1.15/)**Jack 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 Tweets ↗](https://aclanthology.org/2020.wnut-1.41/)**Dat Quoc Nguyen, Thanh Vu, Afshin Rahimi et al.*73 citations*
2. **[Punctuation Restoration using Transformer Models for High-and Low-Resource Languages ↗](https://aclanthology.org/2020.wnut-1.18/)**Tanvirul Alam, Akib Khan, Firoj Alam*72 citations*
3. **[Noisy Text Data: Achilles' Heel of BERT ↗](https://aclanthology.org/2020.wnut-1.3/)**Ankit Kumar, Piyush Makhija, Anuj Gupta*60 citations*
4. **[Cross-lingual sentiment classification in low-resource Bengali language ↗](https://aclanthology.org/2020.wnut-1.8/)**Salim Sazzed*51 citations*
5. **[PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation ↗](https://aclanthology.org/2020.wnut-1.7/)**Vivek Srivastava, Mayank Singh*33 citations*
6. **[Combining BERT with Static Word Embeddings for Categorizing Social Media ↗](https://aclanthology.org/2020.wnut-1.5/)**Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert*32 citations*
7. **[Civil Unrest on Twitter (CUT): A Dataset of Tweets to Support Research on Civil Unrest ↗](https://aclanthology.org/2020.wnut-1.28/)**Justin 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 Embeddings ↗](https://aclanthology.org/2020.wnut-1.2/)**Akshita Aggarwal, Anshul Wadhawan, Anshima Chaudhary et al.*20 citations*
9. **[InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction ↗](https://aclanthology.org/2020.wnut-1.49/)**Hansi Hettiarachchi, Tharindu Ranasinghe*18 citations*
10. **[Detecting Trending Terms in Cybersecurity Forum Discussions ↗](https://aclanthology.org/2020.wnut-1.15/)**Jack 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 Tweets ↗](https://aclanthology.org/2020.wnut-1.44/)**Anders Giovanni Møller, Rob van der Goot, Barbara Plank*17 citations*
12. **[NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial Training ↗](https://aclanthology.org/2020.wnut-1.57/)**Priyanshu Kumar, Aadarsh Singh*17 citations*
13. **[WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols ↗](https://aclanthology.org/2020.wnut-1.33/)**Jeniya Tabassum, Wei Xu, Alan Ritter*17 citations*
14. **[BiTeM at WNUT 2020 Shared Task-1: Named Entity Recognition over Wet Lab Protocols using an Ensemble of Contextual Language Models ↗](https://aclanthology.org/2020.wnut-1.40/)**Julien 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 Tweets ↗](https://aclanthology.org/2020.wnut-1.66/)**Jagadeesh M S, Alphonse P J A*14 citations*
16. **[Representation learning of writing style ↗](https://aclanthology.org/2020.wnut-1.30/)**Julien Hay, Bich-Lien Doan, Fabrice Popineau et al.*14 citations*
17. **[The Non-native Speaker Aspect: Indian English in Social Media ↗](https://aclanthology.org/2020.wnut-1.9/)**Rupak Sarkar, Sayantan Mahinder, Ashiqur KhudaBukhsh*13 citations*
18. **[An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data ↗](https://aclanthology.org/2020.wnut-1.27/)**Lili 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 Others ↗](https://aclanthology.org/2020.wnut-1.21/)**Aparna Balagopalan, Ksenia Shkaruta, Jekaterina Novikova*11 citations*
20. **[Quantifying the Evaluation of Heuristic Methods for Textual Data Augmentation ↗](https://aclanthology.org/2020.wnut-1.26/)**Omid Kashefi, Rebecca Hwa*11 citations*
21. **[An Empirical Analysis of Human-Bot Interaction on Reddit ↗](https://aclanthology.org/2020.wnut-1.14/)**Ming-Cheng Ma, John P. Lalor*9 citations*
22. **[Tweeki: Linking Named Entities on Twitter to a Knowledge Graph ↗](https://aclanthology.org/2020.wnut-1.29/)**Bahareh Harandizadeh, Sameer Singh*9 citations*
23. **[UIT-HSE at WNUT-2020 Task 2: Exploiting CT-BERT for Identifying COVID-19 Information on the Twitter Social Network ↗](https://aclanthology.org/2020.wnut-1.53/)**Khiem 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 Protocols ↗](https://aclanthology.org/2020.wnut-1.38/)**Mohammad 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 Compliance ↗](https://aclanthology.org/2020.wnut-1.1/)**Micaela Kaplan*8 citations*

[See all 80 papers in Workshop on Noisy User-generated Text 2020 — accepted papers →](https://md.research.elamur.ai/free/en/venues/wnut/2020/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 Japanese**Yuta Hayashibe, Kensuke Mitsuzawa*2020 · 6 citations*](https://md.research.elamur.ai/free/en/papers/hayashibe-2020-sentence-boundary-detection-line-breaks/)

## Top topics

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

[Tokenization & segmentation (1)](https://md.research.elamur.ai/free/en/topics/tokenization/) · [English (1)](https://md.research.elamur.ai/free/en/topics/english/)

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

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

- [← previous Workshop on Noisy User-generated Text 2019](https://md.research.elamur.ai/free/en/venues/wnut/2019/)
- [next → Workshop on Noisy User-generated Text 2021](https://md.research.elamur.ai/free/en/venues/wnut/2021/)
- [↑ back to Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)
