Accepted Papers

Best papers

Are All Languages Created Equal in Multilingual BERT? Shijie Wu and Mark Dredze.

Improving Bilingual Lexicon Induction with Unsupervised Post-Processing of Monolingual Word Vector Spaces. Ivan Vulić, Anna Korhonen and Goran Glavaš.

Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages. Tyler A. Chang and Anna Rafferty.
Word Embeddings as Tuples of Feature Probabilities. Siddharth Bhat, Alok Debnath, Souvik Banerjee and Manish Shrivastava.
Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks. Riccardo Volpi and Luigi Malagò.
Joint Training with Semantic Role Labeling for Better Generalization in Natural Language Inference. Cemil Cengiz and Deniz Yuret.
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.
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

Zero-Resource Cross-Domain Named Entity Recognition. Zihan Liu, Genta Indra Winata and Pascale Fung.
Learning Probabilistic Sentence Representations from Paraphrases. Mingda Chen and Kevin Gimpel.
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.
Adversarial Training for Commonsense Inference. Lis Pereira, Xiaodong Liu, Fei Cheng, Masayuki Asahara and Ichiro Kobayashi.
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.
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.
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.

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.
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.

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.