Workshop on Noisy User-generated Text 2020: all accepted papers
- WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets ↗Dat Quoc Nguyen, Thanh Vu, Afshin Rahimi et al.73 citations
- Punctuation Restoration using Transformer Models for High-and Low-Resource Languages ↗Tanvirul Alam, Akib Khan, Firoj Alam72 citations
- Noisy Text Data: Achilles' Heel of BERT ↗Ankit Kumar, Piyush Makhija, Anuj Gupta60 citations
- Cross-lingual sentiment classification in low-resource Bengali language ↗Salim Sazzed51 citations
- PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation ↗Vivek Srivastava, Mayank Singh33 citations
- Combining BERT with Static Word Embeddings for Categorizing Social Media ↗Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert32 citations
- Civil Unrest on Twitter (CUT): A Dataset of Tweets to Support Research on Civil Unrest ↗Justin Sech, Alexandra DeLucia, Anna L. Buczak et al.20 citations
- “Did you really mean what you said?” : Sarcasm Detection in Hindi-English Code-Mixed Data using Bilingual Word Embeddings ↗Akshita Aggarwal, Anshul Wadhawan, Anshima Chaudhary et al.20 citations
- InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction ↗Hansi Hettiarachchi, Tharindu Ranasinghe18 citations
- Detecting Trending Terms in Cybersecurity Forum Discussions ↗Jack Hughes, Seth Aycock, Andrew Caines et al.17 citations
- NLP North at WNUT-2020 Task 2: Pre-training versus Ensembling for Detection of Informative COVID-19 English Tweets ↗Anders Giovanni Møller, Rob van der Goot, Barbara Plank17 citations
- NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial Training ↗Priyanshu Kumar, Aadarsh Singh17 citations
- WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols ↗Jeniya Tabassum, Wei Xu, Alan Ritter17 citations
- BiTeM at WNUT 2020 Shared Task-1: Named Entity Recognition over Wet Lab Protocols using an Ensemble of Contextual Language Models ↗Julien Knafou, Nona Naderi, Jenny Copara et al.16 citations
- NIT_COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English Tweets ↗Jagadeesh M S, Alphonse P J A14 citations
- Representation learning of writing style ↗Julien Hay, Bich-Lien Doan, Fabrice Popineau et al.14 citations
- The Non-native Speaker Aspect: Indian English in Social Media ↗Rupak Sarkar, Sayantan Mahinder, Ashiqur KhudaBukhsh13 citations
- An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data ↗Lili Wang, Chongyang Gao, Jason Wei et al.11 citations
- Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than Others ↗Aparna Balagopalan, Ksenia Shkaruta, Jekaterina Novikova11 citations
- Quantifying the Evaluation of Heuristic Methods for Textual Data Augmentation ↗Omid Kashefi, Rebecca Hwa11 citations
- An Empirical Analysis of Human-Bot Interaction on Reddit ↗Ming-Cheng Ma, John P. Lalor9 citations
- Tweeki: Linking Named Entities on Twitter to a Knowledge Graph ↗Bahareh Harandizadeh, Sameer Singh9 citations
- UIT-HSE at WNUT-2020 Task 2: Exploiting CT-BERT for Identifying COVID-19 Information on the Twitter Social Network ↗Khiem Tran, Hao Phan, Kiet Nguyen et al.9 citations
- mgsohrab at WNUT 2020 Shared Task-1: Neural Exhaustive Approach for Entity and Relation Recognition Over Wet Lab Protocols ↗Mohammad Golam Sohrab, Anh-Khoa Duong Nguyen, Makoto Miwa et al.9 citations
- Annotation Efficient Language Identification from Weak Labels ↗Shriphani Palakodety, Ashiqur KhudaBukhsh7 citations
- DSC-IIT ISM at WNUT-2020 Task 2: Detection of COVID-19 informative tweets using RoBERTa ↗Sirigireddy Dhana Laxmi, Rohit Agarwal, Aman Sinha7 citations
- Detecting Entailment in Code-Mixed Hindi-English Conversations ↗Sharanya Chakravarthy, Anjana Umapathy, Alan W Black6 citations
- Enhanced Sentence Alignment Network for Efficient Short Text Matching ↗Zhe Hu, Zuohui Fu, Cheng Peng et al.6 citations
- Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach ↗Ben Eyre, Aparna Balagopalan, Jekaterina Novikova6 citations
- Generating Fact Checking Summaries for Web Claims ↗Rahul Mishra, Dhruv Gupta, Markus Leippold6 citations
- SunBear at WNUT-2020 Task 2: Improving BERT-Based Noisy Text Classification with Knowledge of the Data domain ↗Linh Doan Bao, Viet Anh Nguyen, Quang Pham Huu6 citations
- CIA_NITT at WNUT-2020 Task 2: Classification of COVID-19 Tweets Using Pre-trained Language Models ↗Yandrapati Prakash Babu, Rajagopal Eswari5 citations
- CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features ↗Calum Perrio, Harish Tayyar Madabushi5 citations
- Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT ↗Dylan Whang, Soroush Vosoughi5 citations
- IITKGP at W-NUT 2020 Shared Task-1: Domain specific BERT representation for Named Entity Recognition of lab protocol ↗Tejas Vaidhya, Ayush Kaushal5 citations
- BANANA at WNUT-2020 Task 2: Identifying COVID-19 Information on Twitter by Combining Deep Learning and Transfer Learning Models ↗Tin Huynh, Luan Thanh Luan, Son T. Luu4 citations
- Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning ↗Rachel Gardner, Maya Varma, Clare Zhu et al.4 citations
- Fine-Tuning MT systems for Robustness to Second-Language Speaker Variations ↗Md Mahfuz Ibn Alam, Antonios Anastasopoulos4 citations
- IDSOU at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets ↗Sora Ohashi, Tomoyuki Kajiwara, Chenhui Chu et al.4 citations
- LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets ↗Abhilasha Sancheti, Kushal Chawla, Gaurav Verma4 citations
- UCD-CS at W-NUT 2020 Shared Task-3: A Text to Text Approach for COVID-19 Event Extraction on Social Media ↗Congcong Wang, David Lillis4 citations
- Winners at W-NUT 2020 Shared Task-3: Leveraging Event Specific and Chunk Span information for Extracting COVID Entities from Tweets ↗Ayush Kaushal, Tejas Vaidhya4 citations
- Fancy Man Launches Zippo at WNUT 2020 Shared Task-1: A Bert Case Model for Wet Lab Entity Extraction ↗Qingcheng Zeng, Xiaoyang Fang, Zhexin Liang et al.3 citations
- NHK_STRL at WNUT-2020 Task 2: GATs with Syntactic Dependencies as Edges and CTC-based Loss for Text Classification ↗Yuki Yasuda, Taichi Ishiwatari, Taro Miyazaki et al.3 citations
- Paraphrase Generation via Adversarial Penalizations ↗Gerson Vizcarra, Jose Ochoa-Luna3 citations
- Truecasing German user-generated conversational text ↗Yulia Grishina, Thomas Gueudre, Ralf Winkler3 citations
- UPennHLP at WNUT-2020 Task 2 : Transformer models for classification of COVID19 posts on Twitter ↗Arjun Magge, Varad Pimpalkhute, Divya Rallapalli et al.3 citations
- CSECU-DSG at WNUT-2020 Task 2: Exploiting Ensemble of Transfer Learning and Hand-crafted Features for Identification of Informative COVID-19 English Tweets ↗Fareen Tasneem, Jannatun Naim, Radiathun Tasnia et al.2 citations
- Detecting Objectifying Language in Online Professor Reviews ↗Angie Waller, Kyle Gorman2 citations
- IIITBH at WNUT-2020 Task 2: Exploiting the best of both worlds ↗Saichethan Reddy, Pradeep Biswal2 citations
- NLPRL at WNUT-2020 Task 2: ELMo-based System for Identification of COVID-19 Tweets ↗Rajesh Kumar Mundotiya, Rupjyoti Baruah, Bhavana Srivastava et al.2 citations
- Sentence Boundary Detection on Line Breaks in JapaneseYuta Hayashibe, Kensuke Mitsuzawa2 citations · our summary
- \#GCDH at WNUT-2020 Task 2: BERT-Based Models for the Detection of Informativeness in English COVID-19 Related Tweets ↗Hanna Varachkina, Stefan Ziehe, Tillmann Dönicke et al.2 citations
- Automated Assessment of Noisy Crowdsourced Free-text Answers for Hindi in Low Resource Setting ↗Dolly Agarwal, Somya Gupta, Nishant Baghel1 citation
- COVCOR20 at WNUT-2020 Task 2: An Attempt to Combine Deep Learning and Expert rules ↗Ali Hürriyetoğlu, Ali Safaya, Osman Mutlu et al.1 citation
- Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identification ↗Yuting Guo, Mohammed Ali Al-Garadi, Abeed Sarker1 citation
- HLTRI at W-NUT 2020 Shared Task-3: COVID-19 Event Extraction from Twitter Using Multi-Task Hopfield Pooling ↗Maxwell Weinzierl, Sanda Harabagiu1 citation
- IRLab@IITBHU at WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets using BERT ↗Supriya Chanda, Eshita Nandy, Sukomal Pal1 citation
- ISWARA at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets using BERT and FastText Embeddings ↗Wava Carissa Putri, Rani Aulia Hidayat, Isnaini Nurul Khasanah et al.1 citation
- Intelligent Analyses on Storytelling for Impact Measurement ↗Koen Kicken, Tessa De Maesschalck, Bart Vanrumste et al.1 citation
- Linguist Geeks on WNUT-2020 Task 2: COVID-19 Informative Tweet Identification using Progressive Trained Language Models and Data Augmentation ↗Vasudev Awatramani, Anupam Kumar1 citation
- PublishInCovid19 at WNUT 2020 Shared Task-1: Entity Recognition in Wet Lab Protocols using Structured Learning Ensemble and Contextualised Embeddings ↗Janvijay Singh, Anshul Wadhawan1 citation
- SU-NLP at WNUT-2020 Task 2: The Ensemble Models ↗Kenan Fayoumi, Reyyan Yeniterzi1 citation
- TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling ↗Chacha Chen, Chieh-Yang Huang, Yaqi Hou et al.1 citation
- Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification ↗Chris Miller, Soroush Vosoughi
- ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents ↗Kellin Pelrine, Jacob Danovitch, Albert Orozco Camacho et al.
- Non-ingredient Detection in User-generated Recipes using the Sequence Tagging Approach ↗Yasuhiro Yamaguchi, Shintaro Inuzuka, Makoto Hiramatsu et al.
- Service registration chatbot: collecting and comparing dialogues from AMT workers and service's users ↗Luca Molteni, Mittul Singh, Juho Leinonen et al.
- UET at WNUT-2020 Task 2: A Study of Combining Transfer Learning Methods for Text Classification with RoBERTa ↗Huy Dao Quang, Tam Nguyen Minh
- “A Little Birdie Told Me ... ” - Inductive Biases for Rumour Stance Detection on Social Media ↗Karthik Radhakrishnan, Tushar Kanakagiri, Sharanya Chakravarthy et al.
- imec-ETRO-VUB at W-NUT 2020 Shared Task-3: A multilabel BERT-based system for predicting COVID-19 events ↗Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis
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