EMNLP 2020

1,823 papers

The Ubiqus English-Inuktitut System for WMT20

François Hernandez, Vincent Nguyen

Jeremy Gwinnup, Tim Anderson

Vikrant Goyal, Anoop Kunchukuttan, Rahul Kejriwal, Siddharth Jain, Amit Bhagwat

The University of Edinburgh’s submission to the German-to-English and English-to-German Tracks in the WMT 2020 News Translation and Zero-shot Translation Robustness Tasks

Ulrich Germann

Speed-optimized, Compact Student Models that Distill Knowledge from a Larger Teacher Model: the UEDIN-CUNI Submission to the WMT 2020 News Translation Task

Ulrich Germann, Roman Grundkiewicz, Martin Popel, Radina Dobreva, Nikolay Bogoychev

Samsung R&D Institute Poland submission to WMT20 News Translation Task

Mateusz Krubiński, Marcin Chochowski, Bartłomiej Boczek, Mikołaj Koszowski, Adam Dobrowolski

Tilde at WMT 2020: News Task Systems

Rihards Krislauks, Mārcis Pinnis

CUNI Submission for the Inuktitut Language in WMT News 2020

Tom Kocmi

NRC Systems for the 2020 Inuktitut-English News Translation Task

Rebecca Knowles, Darlene Stewart, Samuel Larkin, Patrick Littell

Tohoku-AIP-NTT at WMT 2020 News Translation Task

Shun Kiyono, Takumi Ito, Ryuto Konno, Makoto Morishita, Jun Suzuki

An Iterative Knowledge Transfer NMT System for WMT20 News Translation Task

Jiwan Kim, Soyoon Park, Sangha Kim, Yoonjung Choi

The TALP-UPC System Description for WMT20 News Translation Task: Multilingual Adaptation for Low Resource MT

Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa

Linguistically Motivated Subwords for English-Tamil Translation: University of Groningen’s Submission to WMT-2020

Prajit Dhar, Arianna Bisazza, Gertjan van Noord

Facebook AI’s WMT20 News Translation Task Submission

Peng-Jen Chen, Ann Lee, Changhan Wang, Naman Goyal, Angela Fan

DiDi’s Machine Translation System for WMT2020

Tanfang Chen, Weiwei Wang, Wenyang Wei, Xing Shi, Xiangang Li

GTCOM Neural Machine Translation Systems for WMT20

Chao Bei, Hao Zong, Qingmin Liu, Conghu Yuan

The University of Edinburgh’s English-Tamil and English-Inuktitut Submissions to the WMT20 News Translation Task

Rachel Bawden, Alexandra Birch, Radina Dobreva, Arturo Oncevay, Antonio Valerio Miceli Barone

Findings of the WMT 2020 Shared Task on Machine Translation Robustness

Lucia Specia, Zhenhao Li, Juan Pino, Vishrav Chaudhary, Francisco Guzmán

Findings of the WMT 2020 Shared Task on Chat Translation

M. Amin Farajian, António V. Lopes, André F. T. Martins, Sameen Maruf, Gholamreza Haffari

Findings of the First Shared Task on Lifelong Learning Machine Translation

Loic Barrault, Magdalena Biesialska, Marta R. Costa-jussà, Fethi Bougares, Olivier Galibert

Findings of the 2020 Conference on Machine Translation (WMT20)

Loic Barrault, Magdalena Biesialska, Ondřej Bojar, Marta R. Costa-jussà, Christian Federmann

Overview of the SustaiNLP 2020 Shared Task

Alex Wang, Thomas Wolf

Do We Need to Create Big Datasets to Learn a Task?

Swaroop Mishra, Bhavdeep Singh Sachdeva

Label-Efficient Training for Next Response Selection

Seungtaek Choi, Myeongho Jeong, Jinyoung Yeo, Seung-won Hwang

A comparison between CNNs and WFAs for Sequence Classification

Ariadna Quattoni, Xavier Carreras

FastFormers: Highly Efficient Transformer Models for Natural Language Understanding

Young Jin Kim, Hany Hassan

Towards Accurate and Reliable Energy Measurement of NLP Models

Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian

Analysis of Resource-efficient Predictive Models for Natural Language Processing

Raj Pranesh, Ambesh Shekhar

SqueezeBERT: What can computer vision teach NLP about efficient neural networks?

Forrest Iandola, Albert Shaw, Ravi Krishna, Kurt Keutzer

Load What You Need: Smaller Versions of Mutililingual BERT

Amine Abdaoui, Camille Pradel, Grégoire Sigel

Predictive Model Selection for Transfer Learning in Sequence Labeling Tasks

Parul Awasthy, Bishwaranjan Bhattacharjee, John Kender, Radu Florian

A Little Bit Is Worse Than None: Ranking with Limited Training Data

Xinyu Zhang, Andrew Yates, Jimmy Lin

Quasi-Multitask Learning: an Efficient Surrogate for Obtaining Model Ensembles

Norbert Kis-Szabó, Gábor Berend

Keyphrase Generation with GANs in Low-Resources Scenarios

Giuseppe Lancioni, Saida S.Mohamed, Beatrice Portelli, Giuseppe Serra, Carlo Tasso

Early Exiting BERT for Efficient Document Ranking

Ji Xin, Rodrigo Nogueira, Yaoliang Yu, Jimmy Lin

A Two-stage Model for Slot Filling in Low-resource Settings: Domain-agnostic Non-slot Reduction and Pretrained Contextual Embeddings

Cennet Oguz, Ngoc Thang Vu

Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm

Alicia Tsai, Laurent El Ghaoui

Efficient Inference For Neural Machine Translation

Yi-Te Hsu, Sarthak Garg, Yi-Hsiu Liao, Ilya Chatsviorkin

Efficient Estimation of Influence of a Training Instance

Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui

Exploring the Boundaries of Low-Resource BERT Distillation

Moshe Wasserblat, Oren Pereg, Peter Izsak

End to End Binarized Neural Networks for Text Classification

Kumar Shridhar, Harshil Jain, Akshat Agarwal, Denis Kleyko

Learning Informative Representations of Biomedical Relations with Latent Variable Models

Harshil Shah, Julien Fauqueur

Rank and run-time aware compression of NLP Applications

Urmish Thakker, Jesse Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina

Knowing Right from Wrong: Should We Use More Complex Models for Automatic Short-Answer Scoring in Bahasa Indonesia?

Ali Akbar Septiandri, Yosef Ardhito Winatmoko, Ilham Firdausi Putra

Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner’s Perspective

Arindam Mitra, Sanjay Narayana, Chitta Baral

Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation

Sébastien Jean, Kyunghyun Cho

On the Discrepancy between Density Estimation and Sequence Generation

Jason Lee, Dustin Tran, Orhan Firat, Kyunghyun Cho

Reading the Manual: Event Extraction as Definition Comprehension

Yunmo Chen, Tongfei Chen, Seth Ebner, Aaron Steven White, Benjamin Van Durme

Improving Joint Training of Inference Networks and Structured Prediction Energy Networks

Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel

Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations

Nikolaos Manginas, Ilias Chalkidis, Prodromos Malakasiotis

End-to-End Extraction of Structured Information from Business Documents with Pointer-Generator Networks

Clément Sage, Alex Aussem, Véronique Eglin, Haytham Elghazel, Jérémy Espinas

Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking

Anh Duong Trinh, Robert J. Ross, John D. Kelleher

Structured Prediction for Joint Class Cardinality and Entity Property Inference in Model-Complete Text Comprehension

Hendrik ter Horst, Philipp Cimiano

Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations

Ke Tran, Ming Tan

CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models

Abhinav Singh, Patrick Xia, Guanghui Qin, Mahsa Yarmohammadi, Benjamin Van Durme

Syntax-driven Iterative Expansion Language Models for Controllable Text Generation

Noe Casas, José A. R. Fonollosa, Marta R. Costa-jussà

Retouchdown: Releasing Touchdown on StreetLearn as a Public Resource for Language Grounding Tasks in Street View

Harsh Mehta, Yoav Artzi, Jason Baldridge, Eugene Ie, Piotr Mirowski

A Hybrid Deep Learning Approach for Spatial Trigger Extraction from Radiology Reports

Surabhi Datta, Kirk Roberts

Categorisation, Typicality & Object-Specific Features in Spatial Referring Expressions

Adam Richard-Bollans, Anthony Cohn, Lucía Gómez Álvarez

They Are Not All Alike: Answering Different Spatial Questions Requires Different Grounding Strategies

Alberto Testoni, Claudio Greco, Tobias Bianchi, Mauricio Mazuecos, Agata Marcante

A Cognitively Motivated Approach to Spatial Information Extraction

Chao Xu, Emmanuelle-Anna Dietz Saldanha, Dagmar Gromann, Beihai Zhou

BERT-based Spatial Information Extraction

Hyeong Jin Shin, Jeong Yeon Park, Dae Bum Yuk, Jae Sung Lee

An Element-wise Visual-enhanced BiLSTM-CRF Model for Location Name Recognition

Takuya Komada, Takashi Inui

NUIG: Multitasking Self-attention based approach to SigTyp 2020 Shared Task

Chinmay Choudhary

Imputing typological values via phylogenetic inference

Gerhard Jäger

Predicting Typological Features in WALS using Language Embeddings and Conditional Probabilities: ÚFAL Submission to the SIGTYP 2020 Shared Task

Martin Vastl, Daniel Zeman, Rudolf Rosa

NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task

Alexander Gutkin, Richard Sproat

KMI-Panlingua-IITKGP @SIGTYP2020: Exploring rules and hybrid systems for automatic prediction of typological features

Ritesh Kumar, Deepak Alok, Akanksha Bansal, Bornini Lahiri, Atul Kr. Ojha

SIGTYP 2020 Shared Task: Prediction of Typological Features

Johannes Bjerva, Elizabeth Salesky, Sabrina J. Mielke, Aditi Chaudhary, Giuseppe G. A. Celano

GUIR @ LongSumm 2020: Learning to Generate Long Summaries from Scientific Documents

Sajad Sotudeh Gharebagh, Arman Cohan, Nazli Goharian

Divide and Conquer: From Complexity to Simplicity for Lay Summarization

Rochana Chaturvedi, Saachi, Jaspreet Singh Dhani, Anurag Joshi, Ankush Khanna

Summaformers @ LaySumm 20, LongSumm 20

Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma

Using Pre-Trained Transformer for Better Lay Summarization

Seungwon Kim

Monash-Summ@LongSumm 20 SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline

Jiaxin Ju, Ming Liu, Longxiang Gao, Shirui Pan

ARTU / TU Wien and Artificial Researcher@ LongSumm 20

Alaa El-Ebshihy, Annisa Maulida Ningtyas, Linda Andersson, Florina Piroi, Andreas Rauber

Dimsum @LaySumm 20

Tiezheng Yu, Dan Su, Wenliang Dai, Pascale Fung

CiteQA@CLSciSumm 2020

Anjana Umapathy, Karthik Radhakrishnan, Kinjal Jain, Rahul Singh

IR&TM-NJUST@CLSciSumm 20

Heng Zhang, Lifan Liu, Ruping Wang, Shaohu Hu, Shutian Ma

Team MLU@CL-SciSumm20: Methods for Computational Linguistics Scientific Citation Linkage

Rong Huang, Kseniia Krylova

1A-Team / Martin-Luther-Universität Halle-Wittenberg@CLSciSumm 20

Artur Jurk, Maik Boltze, Georg Keller, Lorna Ulbrich, Anja Fischer

IITP-AI-NLP-ML@ CL-SciSumm 2020, CL-LaySumm 2020, LongSumm 2020

Santosh Kumar Mishra, Harshavardhan Kundarapu, Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya

UniHD@CL-SciSumm 2020: Citation Extraction as Search

Dennis Aumiller, Satya Almasian, Philip Hausner, Michael Gertz

AUTH @ CLSciSumm 20, LaySumm 20, LongSumm 20

Alexios Gidiotis, Stefanos Stefanidis, Grigorios Tsoumakas

IIITBH-IITP@CL-SciSumm20, CL-LaySumm20, LongSumm20

Saichethan Reddy, Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya

NLP-PINGAN-TECH @ CL-SciSumm 2020

Ling Chai, Guizhen Fu, Yuan Ni

CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization

Lei Li, Yang Xie, Wei Liu, Yinan Liu, Yafei Jiang

Overview and Insights from the Shared Tasks at Scholarly Document Processing 2020: CL-SciSumm, LaySumm and LongSumm

Muthu Kumar Chandrasekaran, Guy Feigenblat, Eduard Hovy, Abhilasha Ravichander, Michal Shmueli-Scheuer

A New Neural Search and Insights Platform for Navigating and Organizing AI Research

Marzieh Fadaee, Olga Gureenkova, Fernando Rejon Barrera, Carsten Schnober, Wouter Weerkamp

Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions

Dongyeop Kang, Andrew Head, Risham Sidhu, Kyle Lo, Daniel Weld

Scaling Systematic Literature Reviews with Machine Learning Pipelines

Seraphina Goldfarb-Tarrant, Alexander Robertson, Jasmina Lazic, Theodora Tsouloufi, Louise Donnison

On the Use of Web Search to Improve Scientific Collections

Krutarth Patel, Cornelia Caragea, Sujatha Das Gollapalli

Cydex: Neural Search Infrastructure for the Scholarly Literature

Shane Ding, Edwin Zhang, Jimmy Lin

Structure-Tags Improve Text Classification for Scholarly Document Quality Prediction

Gideon Maillette de Buy Wenniger, Thomas van Dongen, Eleri Aedmaa, Herbert Teun Kruitbosch, Edwin A. Valentijn

SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction.

Thomas van Dongen, Gideon Maillette de Buy Wenniger, Lambert Schomaker

Towards Grounding of Formulae

Takuto Asakura, Andre Greiner-Petter, Akiko Aizawa, Yusuke Miyao

ERLKG: Entity Representation Learning and Knowledge Graph based association analysis of COVID-19 through mining of unstructured biomedical corpora

Sayantan Basu, Sinchani Chakraborty, Atif Hassan, Sana Siddique, Ashish Anand

Multi-task Peer-Review Score Prediction

Jiyi Li, Ayaka Sato, Kazuya Shimura, Fumiyo Fukumoto

SciWING– A Software Toolkit for Scientific Document Processing

Abhinav Ramesh Kashyap, Min-Yen Kan

On the effectiveness of small, discriminatively pre-trained language representation models for biomedical text mining

Ibrahim Burak Ozyurt

Improved Local Citation Recommendation Based on Context Enhanced with Global Information

Zoran Medić, Jan Šnajder