Pre-recorded Talks

Zero-Resource Cross-Domain Named Entity Recognition

Zihan Liu, Genta Indra Winata and Pascale Fung

Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages

Tyler A. Chang and Anna Rafferty

Learning Probabilistic Sentence Representations from Paraphrases

Mingda Chen and Kevin Gimpel

Word Embeddings as Tuples of Feature Probabilities

Siddharth Bhat, Alok Debnath, Souvik Banerjee and Manish Shrivastava

Compositionality and Capacity in Emergent Languages

Abhinav Gupta, Cinjon Resnick, Jakob Foerster, Andrew Dai and Kyunghyun Cho

Learning Geometric Word Meta-Embeddings

Pratik Jawanpuria, Satya Dev N T V, Anoop Kunchukuttan and Bamdev Mishra

Improving Bilingual Lexicon Induction with Unsupervised Post-Processing of Monolingual Word Vector Spaces

Ivan Vulić, Anna Korhonen and Goran Glavaš

Adversarial Training for Commonsense Inference

Lis Pereira, Xiaodong Liu, Fei Cheng, Masayuki Asahara and Ichiro Kobayashi

Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks

Riccardo Volpi and Luigi Malagò

Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT

Ashutosh Adhikari, Achyudh Ram, Raphael Tang, William L. Hamilton and Jimmy Lin

Joint Training with Semantic Role Labeling for Better Generalization in Natural Language Inference

Cemil Cengiz and Deniz Yuret

A Metric Learning Approach to Misogyny Categorization

Juan Manuel Coria, Sahar Ghannay, Sophie Rosset and Hervé Bredin

On the Choice of Auxiliary Languages for Improved Sequence Tagging

Lukas Lange, Heike Adel and Jannik Strötgen

Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text

Lukas Lange, Anastasiia Iurshina, Heike Adel and Jannik Strötgen

Contextual and Non-Contextual Word Embeddings: an in-depth Linguistic Investigation

Alessio Miaschi and Felice Dell'Orletta

Are All Languages Created Equal in Multilingual BERT?

Shijie Wu and Mark Dredze

Staying True to Your Word: (How) Can Attention Become Explanation?

Martin Tutek and Jan Snajder

Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning

Mitchell Gordon, Kevin Duh and Nicholas Andrews

On Dimensional Linguistic Properties of the Word Embedding Space

Vikas Raunak, Vaibhav Kumar, Vivek Gupta and Florian Metze

A Cross-Task Analysis of Text Span Representations

Shubham Toshniwal, Haoyue Shi, Bowen Shi, Lingyu Gao, Karen Livescu and Kevin Gimpel

Enhancing Transformer with Sememe Knowledge

Yuhui Zhang, Chenghao Yang, Zhengping Zhou and Zhiyuan Liu

Evaluating Compositionality of Sentence Representation Models

Hanoz Bhathena, Angelica Willis and Nathan Dass

Supertagging with CCG primitives

Aditya Bhargava and Gerald Penn

What's in a Name? Are BERT Named Entity Representations just as Good for any other Name?

Sriram Balasubramanian, Naman Jain, Gaurav Jindal, Abhijeet Awasthi and Sunita Sarawagi

On the Ability of Self-Attention Networks to Recognize Counter Languages

Satwik Bhattamishra, Kabir Ahuja and Navin Goyal

Variational Inference for Learning Representations of Natural Language Edits

Edison Marrese-Taylor, Machel Reid and Yutaka Matsuo

Predicting Sexual and Reproductive Health of Migrants using Data Science

Amber Nigam, Pragati Jaiswal, Teertha Arora, Uma Girkar and Leo Anthony Celi

Job Recommendation through Progression of Job Selection

Amber Nigam, Aakash Roy, Hartaran Singh and Arpan Saxena

A Simple Approach to Learning Unsupervised Multilingual Embeddings

Pratik Jawanpuria, Mayank Meghwanshi and Bamdev Mishra

AI4Bharat-IndicNLP Dataset: Monolingual Corpora and Word Embeddings for Indic Languages: Monolingual Corpora and Word Embeddings for Indic Languages

Anoop Kunchukuttan, Divyanshu Kakwani, Satish Golla, Gokul N.C., Avik Bhattacharyya, Mitesh M. Khapra and Pratyush Kumar

Invited Talk 1

Kristina Toutanova

Invited Talk 2

Ellie Pavlick

Invited Talk 3

Mike Lewis

Invited Talk 4

Evelina Fedorenko