The first iteration of Insights attracted 35 submissions and 11 presentation requests from authors of papers accepted to “Findings of EMNLP”. We accepted 18 research papers (51.4\% acceptance rate) and granted 5 presentation requests.
Domain adaptation challenges of BERT in tokenization and sub-word representations of Out-of-Vocabulary words
Anmol Nayak, hariprasad timmapathini, karthikeyan Ponnalagu and Vijendran Gopalan Venkoparao
Q. Can Knowledge Graphs be used to Answer Boolean Questions? A. It’s complicated!
Daria Dzendzik, Carl Vogel and Jennifer Foster
How Far Can We Go with Data Selection? A Case Study on Semantic Sequence Tagging Tasks
Samuel Louvan and Bernardo Magnini
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks
Ansel MacLaughlin, Jwala Dhamala, Anoop Kumar, Sriram Venkatapathy, Ragav Venkatesan and Rahul Gupta
Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models
Silvia Terragni, Debora Nozza, Elisabetta Fersini and Messina Enza
On Task-Level Dialogue Composition of Generative Transformer Model
Prasanna Parthasarathi, Sharan Narang and Arvind Neelakantan
How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study
Meghana Moorthy Bhat and Srinivasan Parthasarathy
Label Propagation-Based Semi-Supervised Learning for Hate Speech Classification
Ashwin Geet D’Sa, Irina Illina, Dominique Fohr and Dietrich Klakow
Layout-Aware Text Representations Harm Clustering Documents by Type
Catherine Finegan-Dollak and Ashish Verma
An Analysis of Capsule Networks for Part of Speech Tagging in High- and Low-resource Scenarios
Andrew Zupon, Faiz Rafique and Mihai Surdeanu
Can Multimodal Embeddings Tell Us What Fact-checked Claims Are About?
Valentina Beretta, Sébastien Harispe, Katarina Boland, Luke Lo Seen, Konstantin Todorov and Andon Tchechmedjiev
Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?
Zhengzhong Liang and Mihai Surdeanu
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data
William Huang, Haokun Liu and Samuel R. Bowman
NMF Ensembles? Not for Text Summarization!
Alka Khurana and Vasudha Bhatnagar
If You Build Your Own NER Scorer, Non-replicable Results Will Come
Constantine Lignos and Marjan Kamyab
HINT3: Raising the bar for Intent Detection in the Wild
Gaurav Arora, Chirag Jain, Manas Chaturvedi and Krupal Modi
Embedding Structured Dictionary Entries
Steven Wilson, Walid Magdy, Barbara McGillivray and Gareth Tyson
The Extraordinary Failure of Complement Coercion Crowdsourcing
Yanai Elazar, Victoria Basmov, Shauli Ravfogel, Yoav Goldberg and Reut Tsarfat
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers?
Shayne Longpre, Yu Wang and Christopher DuBois
Effects of Naturalistic Variation in Goal-Oriented Dialog
Jatin Ganhotra, Robert Moore, Sachindra Joshi and Kahini Wadhawan
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder
Alvin Chan, Yi Tay, Yew-Soon Ong and Aston Zhang
WER we are and WER we think we are
Piotr Szymański, Piotr Żelasko, Mikolaj Morzy, Adrian Szymczak, Marzena Żyła-Hoppe, Joanna Banaszczak, Lukasz Augustyniak, Jan Mizgajski and Yishay Carmiel
What do we expect from Multiple-choice QA Systems?
Krunal Shah, Nitish Gupta and Dan Roth