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6th W-NUT 2020: Online
- Wei Xu, Alan Ritter, Tim Baldwin, Afshin Rahimi:
Proceedings of the Sixth Workshop on Noisy User-generated Text, W-NUT@EMNLP 2020 Online, November 19, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-76-7 - Micaela Kaplan:
May I Ask Who's Calling? Named Entity Recognition on Call Center Transcripts for Privacy Law Compliance. 1-6 - Akshita Aggarwal, Anshul Wadhawan
, Anshima Chaudhary, Kavita Maurya:
"Did you really mean what you said?" : Sarcasm Detection in Hindi-English Code-Mixed Data using Bilingual Word Embeddings. 7-15 - Ankit Kumar, Piyush Makhija, Anuj Gupta:
Noisy Text Data: Achilles' Heel of BERT. 16-21 - Rachel Gardner, Maya Varma, Clare Zhu, Ranjay Krishna:
Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning. 22-27 - Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert:
Combining BERT with Static Word Embeddings for Categorizing Social Media. 28-33 - Zhe Hu, Zuohui Fu, Cheng Peng, Weiwei Wang:
Enhanced Sentence Alignment Network for Efficient Short Text Matching. 34-40 - Vivek Srivastava, Mayank Singh:
PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation. 41-49 - Salim Sazzed
Cross-lingual sentiment classification in low-resource Bengali language. 50-60 - Rupak Sarkar
The Non-native Speaker Aspect: Indian English in Social Media. 61-70 - Yuta Hayashibe, Kensuke Mitsuzawa:
Sentence Boundary Detection on Line Breaks in Japanese. 71-75 - Yasuhiro Yamaguchi, Shintaro Inuzuka, Makoto Hiramatsu, Jun Harashima:
Non-ingredient Detection in User-generated Recipes using the Sequence Tagging Approach. 76-80 - Rahul Mishra, Dhruv Gupta, Markus Leippold:
Generating Fact Checking Summaries for Web Claims. 81-90 - Koen Kicken, Tessa De Maesschalck, Bart Vanrumste
Intelligent Analyses on Storytelling for Impact Measurement. 91-100 - Ming-Cheng Ma, John P. Lalor:
An Empirical Analysis of Human-Bot Interaction on Reddit. 101-106 - Jack Hughes, Seth Aycock, Andrew Caines, Paula Buttery, Alice Hutchings:
Detecting Trending Terms in Cybersecurity Forum Discussions. 107-115 - Luca Molteni, Mittul Singh, Juho Leinonen, Katri Leino, Mikko Kurimo, Emanuele Della Valle:
Service registration chatbot: collecting and comparing dialogues from AMT workers and service's users. 116-121 - Dolly Agarwal
Automated Assessment of Noisy Crowdsourced Free-text Answers for Hindi in Low Resource Setting. 122-131 - Tanvirul Alam, Akib Khan, Firoj Alam:
Punctuation Restoration using Transformer Models for High-and Low-Resource Languages. 132-142 - Yulia Grishina, Thomas Gueudré, Ralf Winkler:
Truecasing German user-generated conversational text. 143-148 - Md Mahfuz Ibn Alam, Antonios Anastasopoulos:
Fine-Tuning MT systems for Robustness to Second-Language Speaker Variations. 149-158 - Aparna Balagopalan, Ksenia Shkaruta, Jekaterina Novikova:
Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than Others. 159-164 - Sharanya Chakravarthy
Detecting Entailment in Code-Mixed Hindi-English Conversations. 165-170 - Angie Waller, Kyle Gorman:
Detecting Objectifying Language in Online Professor Reviews. 171-180 - Shriphani Palakodety
Annotation Efficient Language Identification from Weak Labels. 181-192 - Benjamin Eyre, Aparna Balagopalan, Jekaterina Novikova:
Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach. 193-199 - Omid Kashefi, Rebecca Hwa:
Quantifying the Evaluation of Heuristic Methods for Textual Data Augmentation. 200-208 - Lili Wang, Chongyang Gao, Jason Wei, Weicheng Ma, Ruibo Liu, Soroush Vosoughi:
An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data. 209-214 - Justin Sech, Alexandra DeLucia
Civil Unrest on Twitter (CUT): A Dataset of Tweets to Support Research on Civil Unrest. 215-221 - Bahareh Harandizadeh, Sameer Singh:
Tweeki: Linking Named Entities on Twitter to a Knowledge Graph. 222-231 - Julien Hay, Bich-Liên Doan, Fabrice Popineau, Ouassim Ait ElHara:
Representation learning of writing style. 232-243 - Karthik Radhakrishnan, Tushar Kanakagiri, Sharanya Chakravarthy
"A Little Birdie Told Me ... " - Inductive Biases for Rumour Stance Detection on Social Media. 244-248 - Gerson Vizcarra
Paraphrase Generation via Adversarial Penalizations. 249-259 - Jeniya Tabassum, Wei Xu, Alan Ritter:
WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols. 260-267 - Tejas Vaidhya, Ayush Kaushal:
IITKGP at W-NUT 2020 Shared Task-1: Domain specific BERT representation for Named Entity Recognition of lab protocol. 268-272 - Janvijay Singh, Anshul Wadhawan
PublishInCovid19 at WNUT 2020 Shared Task-1: Entity Recognition in Wet Lab Protocols using Structured Learning Ensemble and Contextualised Embeddings. 273-280 - Chris Miller, Soroush Vosoughi:
Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification. 281-285 - Kaushik Acharya:
WNUT 2020 Shared Task-1: Conditional Random Field(CRF) based Named Entity Recognition(NER) for Wet Lab Protocols. 286-289 - Mohammad Golam Sohrab, Anh-Khoa Duong Nguyen, Makoto Miwa, Hiroya Takamura:
mgsohrab at WNUT 2020 Shared Task-1: Neural Exhaustive Approach for Entity and Relation Recognition Over Wet Lab Protocols. 290-298 - Qingcheng Zeng, Xiaoyang Fang, Zhexin Liang, Haoding Meng:
Fancy Man Launches Zippo at WNUT 2020 Shared Task-1: A Bert Case Model for Wet Lab Entity Extraction. 299-304 - Julien Knafou, Nona Naderi, Jenny Copara
BiTeM at WNUT 2020 Shared Task-1: Named Entity Recognition over Wet Lab Protocols using an Ensemble of Contextual Language Models. 305-313 - Dat Quoc Nguyen, Thanh Vu, Afshin Rahimi
WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets. 314-318 - Anh Tuan Nguyen:
TATL at WNUT-2020 Task 2: A Transformer-based Baseline System for Identification of Informative COVID-19 English Tweets. 319-323 - Yuki Yasuda, Taichi Ishiwatari, Taro Miyazaki
NHK_STRL at WNUT-2020 Task 2: GATs with Syntactic Dependencies as Edges and CTC-based Loss for Text Classification. 324-330 - Anders Giovanni Møller
NLP North at WNUT-2020 Task 2: Pre-training versus Ensembling for Detection of Informative COVID-19 English Tweets. 331-336 - Siva Sai
Siva at WNUT-2020 Task 2: Fine-tuning Transformer Neural Networks for Identification of Informative Covid-19 Tweets. 337-341 - Saichethan Reddy, Pradeep Biswal:
IIITBH at WNUT-2020 Task 2: Exploiting the best of both worlds. 342-346 - Anshul Wadhawan
Phonemer at WNUT-2020 Task 2: Sequence Classification Using COVID Twitter BERT and Bagging Ensemble Technique based on Plurality Voting. 347-351 - Calum Perrio, Harish Tayyar Madabushi
CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features. 352-358 - Hansi Hettiarachchi, Tharindu Ranasinghe
InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction. 359-365 - Tin Van Huynh, Luan Thanh Nguyen, Son T. Luu
BANANA at WNUT-2020 Task 2: Identifying COVID-19 Information on Twitter by Combining Deep Learning and Transfer Learning Models. 366-370 - Ayan Sengupta:
DATAMAFIA at WNUT-2020 Task 2: A Study of Pre-trained Language Models along with Regularization Techniques for Downstream Tasks. 371-377 - Arjun Magge, Varad Pimpalkhute
UPennHLP at WNUT-2020 Task 2 : Transformer models for classification of COVID19 posts on Twitter. 378-382 - Khiem Vinh Tran
UIT-HSE at WNUT-2020 Task 2: Exploiting CT-BERT for Identifying COVID-19 Information on the Twitter Social Network. 383-387 - Yuting Guo, Mohammed Ali Al-Garadi, Abeed Sarker
Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identification. 388-393 - Fareen Tasneem, Jannatun Naim, Radiathun Tasnia, Tashin Hossain, Abu Nowshed Chy:
CSECU-DSG at WNUT-2020 Task 2: Exploiting Ensemble of Transfer Learning and Hand-crafted Features for Identification of Informative COVID-19 English Tweets. 394-398 - Supriya Chanda, Eshita Nandy, Sukomal Pal:
IRLab@IITBHU at WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets using BERT. 399-403 - Priyanshu Kumar, Aadarsh Singh
NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial Training. 404-408 - Sirigireddy Dhanalaxmi, Rohit Agarwal
DSC-IIT ISM at WNUT-2020 Task 2: Detection of COVID-19 informative tweets using RoBERTa. 409-413 - Vasudev Awatramani, Anupam Kumar:
Linguist Geeks on WNUT-2020 Task 2: COVID-19 Informative Tweet Identification using Progressive Trained Language Models and Data Augmentation. 414-418 - Rajesh Kumar Mundotiya, Rupjyoti Baruah, Bhavana Srivastava, Anil Kumar Singh:
NLPRL at WNUT-2020 Task 2: ELMo-based System for Identification of COVID-19 Tweets. 419-422 - Kenan Fayoumi, Reyyan Yeniterzi:
SU-NLP at WNUT-2020 Task 2: The Ensemble Models. 423-427 - Sora Ohashi, Tomoyuki Kajiwara, Chenhui Chu, Noriko Takemura, Yuta Nakashima, Hajime Nagahara:
IDSOU at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets. 428-433 - Kellin Pelrine, Jacob Danovitch
ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents. 434-439 - Kumud Chauhan:
NEU at WNUT-2020 Task 2: Data Augmentation To Tell BERT That Death Is Not Necessarily Informative. 440-443 - Abhilasha Sancheti, Kushal Chawla, Gaurav Verma:
LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets. 444-449 - Jagadeesh M. S.
NIT_COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English Tweets. 450-454 - Nickil Maveli:
EdinburghNLP at WNUT-2020 Task 2: Leveraging Transformers with Generalized Augmentation for Identifying Informativeness in COVID-19 Tweets. 455-461 - Hanna Varachkina
#GCDH at WNUT-2020 Task 2: BERT-Based Models for the Detection of Informativeness in English COVID-19 Related Tweets. 462-465 - Thai Quoc Hoang, Phuong Thu Vu:
Not-NUTs at WNUT-2020 Task 2: A BERT-based System in Identifying Informative COVID-19 English Tweets. 466-470 - Yandrapati Prakash Babu, Eswari Rajagopal:
CIA_NITT at WNUT-2020 Task 2: Classification of COVID-19 Tweets Using Pre-trained Language Models. 471-474 - Huy Dao Quang, Tam Nguyen Minh:
UET at WNUT-2020 Task 2: A Study of Combining Transfer Learning Methods for Text Classification with RoBERTa. 475-479 - Dylan Whang, Soroush Vosoughi:
Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT. 480-484 - Linh Doan Bao, Viet Anh Nguyen, Quang Pham Huu:
SunBear at WNUT-2020 Task 2: Improving BERT-Based Noisy Text Classification with Knowledge of the Data domain. 485-490 - Wava Carissa Putri, Rani Aulia Hidayat, Isnaini Nurul Khasanah, Rahmad Mahendra:
ISWARA at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets using BERT and FastText Embeddings. 491-494 - Ali Hürriyetoglu, Ali Safaya, Osman Mutlu, Nelleke Oostdijk, Erdem Yörük:
COVCOR20 at WNUT-2020 Task 2: An Attempt to Combine Deep Learning and Expert rules. 495-498 - Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang:
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling. 499-504 - Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis:
imec-ETRO-VUB at W-NUT 2020 Shared Task-3: A multilabel BERT-based system for predicting COVID-19 events. 505-513 - Congcong Wang, David Lillis
UCD-CS at W-NUT 2020 Shared Task-3: A Text to Text Approach for COVID-19 Event Extraction on Social Media. 514-521 - Ayush Kaushal, Tejas Vaidhya:
Winners at W-NUT 2020 Shared Task-3: Leveraging Event Specific and Chunk Span information for Extracting COVID Entities from Tweets. 522-529 - Maxwell A. Weinzierl, Sanda M. Harabagiu:
HLTRI at W-NUT 2020 Shared Task-3: COVID-19 Event Extraction from Twitter Using Multi-Task Hopfield Pooling. 530-538
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