EMNLP 2020

1,823 papers

HLTRI at W-NUT 2020 Shared Task-3: COVID-19 Event Extraction from Twitter Using Multi-Task Hopfield Pooling

Maxwell Weinzierl, Sanda Harabagiu

Winners at W-NUT 2020 Shared Task-3: Leveraging Event Specific and Chunk Span information for Extracting COVID Entities from Tweets

Ayush Kaushal, Tejas Vaidhya

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 Lillis

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

TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling

Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai

COVCOR20 at WNUT-2020 Task 2: An Attempt to Combine Deep Learning and Expert rules

Ali Hürriyetoğlu, Ali Safaya, Osman Mutlu, Nelleke Oostdijk, Erdem Yörük

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, Rahmad Mahendra

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 Huu

Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT

Dylan Whang, Soroush Vosoughi

UET at WNUT-2020 Task 2: A Study of Combining Transfer Learning Methods for Text Classification with RoBERTa

Huy Dao Quang, Tam Nguyen Minh

CIA_NITT at WNUT-2020 Task 2: Classification of COVID-19 Tweets Using Pre-trained Language Models

Yandrapati Prakash Babu, Rajagopal Eswari

Not-NUTs at WNUT-2020 Task 2: A BERT-based System in Identifying Informative COVID-19 English Tweets

Thai Hoang, Phuong Vu

#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, Franziska Pannach

EdinburghNLP at WNUT-2020 Task 2: Leveraging Transformers with Generalized Augmentation for Identifying Informativeness in COVID-19 Tweets

Nickil Maveli

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 A

LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets

Abhilasha Sancheti, Kushal Chawla, Gaurav Verma

NEU at WNUT-2020 Task 2: Data Augmentation To Tell BERT That Death Is Not Necessarily Informative

Kumud Chauhan

ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents

Kellin Pelrine, Jacob Danovitch, Albert Orozco Camacho, Reihaneh Rabbany

IDSOU at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets

Sora Ohashi, Tomoyuki Kajiwara, Chenhui Chu, Noriko Takemura, Yuta Nakashima

SU-NLP at WNUT-2020 Task 2: The Ensemble Models

Kenan Fayoumi, Reyyan Yeniterzi

NLPRL at WNUT-2020 Task 2: ELMo-based System for Identification of COVID-19 Tweets

Rajesh Kumar Mundotiya, Rupjyoti Baruah, Bhavana Srivastava, Anil Kumar Singh

Linguist Geeks on WNUT-2020 Task 2: COVID-19 Informative Tweet Identification using Progressive Trained Language Models and Data Augmentation

Vasudev Awatramani, Anupam Kumar

DSC-IIT ISM at WNUT-2020 Task 2: Detection of COVID-19 informative tweets using RoBERTa

Sirigireddy Dhana Laxmi, Rohit Agarwal, Aman Sinha

NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial Training

Priyanshu Kumar, Aadarsh Singh

IRLab@IITBHU at WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets using BERT

Supriya Chanda, Eshita Nandy, Sukomal Pal

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, Tashin Hossain, Abu Nowshed Chy

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 Sarker

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, Ngan Luu Thuy Nguyen

UPennHLP at WNUT-2020 Task 2 : Transformer models for classification of COVID19 posts on Twitter

Arjun Magge, Varad Pimpalkhute, Divya Rallapalli, David Siguenza, Graciela Gonzalez-Hernandez

DATAMAFIA at WNUT-2020 Task 2: A Study of Pre-trained Language Models along with Regularization Techniques for Downstream Tasks

Ayan Sengupta

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. Luu

InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction

Hansi Hettiarachchi, Tharindu Ranasinghe

CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features

Calum Perrio, Harish Tayyar Madabushi

Phonemer at WNUT-2020 Task 2: Sequence Classification Using COVID Twitter BERT and Bagging Ensemble Technique based on Plurality Voting

Anshul Wadhawan

IIITBH at WNUT-2020 Task 2: Exploiting the best of both worlds

Saichethan Reddy, Pradeep Biswal

Siva at WNUT-2020 Task 2: Fine-tuning Transformer Neural Networks for Identification of Informative Covid-19 Tweets

Siva Sai

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 Plank

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, Jun Goto

TATL at WNUT-2020 Task 2: A Transformer-based Baseline System for Identification of Informative COVID-19 English Tweets

Anh Tuan Nguyen

WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets

Dat Quoc Nguyen, Thanh Vu, Afshin Rahimi, Mai Hoang Dao, Linh The Nguyen

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, Douglas Teodoro, Patrick Ruch

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, Haoding Meng

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, Hiroya Takamura

WNUT 2020 Shared Task-1: Conditional Random Field(CRF) based Named Entity Recognition(NER) for Wet Lab Protocols

Kaushik Acharya

Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification

Chris Miller, Soroush Vosoughi

PublishInCovid19 at WNUT 2020 Shared Task-1: Entity Recognition in Wet Lab Protocols using Structured Learning Ensemble and Contextualised Embeddings

Janvijay Singh, Anshul Wadhawan

IITKGP at W-NUT 2020 Shared Task-1: Domain specific BERT representation for Named Entity Recognition of lab protocol

Tejas Vaidhya, Ayush Kaushal

WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols

Jeniya Tabassum, Wei Xu, Alan Ritter

Paraphrase Generation via Adversarial Penalizations

Gerson Vizcarra, José Ochoa-Luna

“A Little Birdie Told Me ... ” - Inductive Biases for Rumour Stance Detection on Social Media

Karthik Radhakrishnan, Tushar Kanakagiri, Sharanya Chakravarthy, Vidhisha Balachandran

Representation learning of writing style

Julien Hay, Bich-Lien Doan, Fabrice Popineau, Ouassim Ait Elhara

Tweeki: Linking Named Entities on Twitter to a Knowledge Graph

Bahareh Harandizadeh, Sameer Singh

Civil Unrest on Twitter (CUT): A Dataset of Tweets to Support Research on Civil Unrest

Justin Sech, Alexandra DeLucia, Anna L. Buczak, Mark Dredze

An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data

Lili Wang, Chongyang Gao, Jason Wei, Weicheng Ma, Ruibo Liu

Quantifying the Evaluation of Heuristic Methods for Textual Data Augmentation

Omid Kashefi, Rebecca Hwa

Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach

Ben Eyre, Aparna Balagopalan, Jekaterina Novikova

Annotation Efficient Language Identification from Weak Labels

Shriphani Palakodety, Ashiqur KhudaBukhsh

Detecting Objectifying Language in Online Professor Reviews

Angie Waller, Kyle Gorman

Detecting Entailment in Code-Mixed Hindi-English Conversations

Sharanya Chakravarthy, Anjana Umapathy, Alan W Black

Impact of ASR on Alzheimer’s Disease Detection: All Errors are Equal, but Deletions are More Equal than Others

Aparna Balagopalan, Ksenia Shkaruta, Jekaterina Novikova

Fine-Tuning MT systems for Robustness to Second-Language Speaker Variations

Md Mahfuz Ibn Alam, Antonios Anastasopoulos

Truecasing German user-generated conversational text

Yulia Grishina, Thomas Gueudre, Ralf Winkler

Punctuation Restoration using Transformer Models for High-and Low-Resource Languages

Tanvirul Alam, Akib Khan, Firoj Alam

Automated Assessment of Noisy Crowdsourced Free-text Answers for Hindi in Low Resource Setting

Dolly Agarwal, Somya Gupta, Nishant Baghel

Service registration chatbot: collecting and comparing dialogues from AMT workers and service’s users

Luca Molteni, Mittul Singh, Juho Leinonen, Katri Leino, Mikko Kurimo

Jack Hughes, Seth Aycock, Andrew Caines, Paula Buttery, Alice Hutchings

An Empirical Analysis of Human-Bot Interaction on Reddit

Ming-Cheng Ma, John P. Lalor

Intelligent Analyses on Storytelling for Impact Measurement

Koen Kicken, Tessa De Maesschalck, Bart Vanrumste, Tom De Keyser, Hee Reen Shim

Generating Fact Checking Summaries for Web Claims

Rahul Mishra, Dhruv Gupta, Markus Leippold

Non-ingredient Detection in User-generated Recipes using the Sequence Tagging Approach

Yasuhiro Yamaguchi, Shintaro Inuzuka, Makoto Hiramatsu, Jun Harashima

Sentence Boundary Detection on Line Breaks in Japanese

Yuta Hayashibe, Kensuke Mitsuzawa

The Non-native Speaker Aspect: Indian English in Social Media

Rupak Sarkar, Sayantan Mahinder, Ashiqur KhudaBukhsh

Cross-lingual sentiment classification in low-resource Bengali language

Salim Sazzed

PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation

Vivek Srivastava, Mayank Singh

Enhanced Sentence Alignment Network for Efficient Short Text Matching

Zhe Hu, Zuohui Fu, Cheng Peng, Weiwei Wang

Combining BERT with Static Word Embeddings for Categorizing Social Media

Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert

Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning

Rachel Gardner, Maya Varma, Clare Zhu, Ranjay Krishna

Noisy Text Data: Achilles’ Heel of BERT

Ankit Kumar, Piyush Makhija, Anuj Gupta

“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, Kavita Maurya

May I Ask Who’s Calling? Named Entity Recognition on Call Center Transcripts for Privacy Law Compliance

Micaela Kaplan

Incorporating Terminology Constraints in Automatic Post-Editing

David Wan, Chris Kedzie, Faisal Ladhak, Marine Carpuat, Kathleen McKeown

Human-Paraphrased References Improve Neural Machine Translation

Markus Freitag, George Foster, David Grangier, Colin Cherry

The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT

Jörg Tiedemann

How Should Markup Tags Be Translated?

Greg Hanneman, Georgiana Dinu

On the Same Page? Comparing Inter-Annotator Agreement in Sentence and Document Level Human Machine Translation Evaluation

Sheila Castilho

Adobe AMPS’s Submission for Very Low Resource Supervised Translation Task at WMT20

Keshaw Singh

The NITS-CNLP System for the Unsupervised MT Task at WMT 2020

Salam Michael Singh, Thoudam Doren Singh, Sivaji Bandyopadhyay

The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks

Yves Scherrer, Stig-Arne Grönroos, Sami Virpioja

CUNI Systems for the Unsupervised and Very Low Resource Translation Task in WMT20

Ivana Kvapilíková, Tom Kocmi, Ondřej Bojar

NRC Systems for Low Resource German-Upper Sorbian Machine Translation 2020: Transfer Learning with Lexical Modifications

Rebecca Knowles, Samuel Larkin, Darlene Stewart, Patrick Littell

The LMU Munich System for the WMT20 Very Low Resource Supervised MT Task

Jindřich Libovický, Viktor Hangya, Helmut Schmid, Alexander Fraser

Data Selection for Unsupervised Translation of German–Upper Sorbian

Lukas Edman, Antonio Toral, Gertjan van Noord

UdS-DFKI@WMT20: Unsupervised MT and Very Low Resource Supervised MT for German-Upper Sorbian

Sourav Dutta, Jesujoba Alabi, Saptarashmi Bandyopadhyay, Dana Ruiter, Josef van Genabith

The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared Task

Alexandra Chronopoulou, Dario Stojanovski, Viktor Hangya, Alexander Fraser

Low-Resource Translation as Language Modeling

Tucker Berckmann, Berkan Hiziroglu

NLPRL System for Very Low Resource Supervised Machine Translation

Rupjyoti Baruah, Rajesh Kumar Mundotiya, Amit Kumar, Anil Kumar Singh

Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns

Lei Zhou, Liang Ding, Koichi Takeda

Tencent submission for WMT20 Quality Estimation Shared Task

Haijiang Wu, Zixuan Wang, Qingsong Ma, Xinjie Wen, Ruichen Wang

HW-TSC’s Participation at WMT 2020 Quality Estimation Shared Task

Minghan Wang, Hao Yang, Hengchao Shang, Daimeng Wei, Jiaxin Guo

TransQuest at WMT2020: Sentence-Level Direct Assessment

Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov