A Comparison of Question Rewriting Methods for Conversational Passage Retrieval

ECIR 2021.

Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval

ArXiv Preprint. (Dec 2020)

A Wrong Answer or a Wrong Question? An Intricate Relationship between Question Reformulation and Answer Selection in Conversational Question Answering

SCAI Workshop @ EMNLP 2020. (Best Paper Award)

How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers?

Findings of EMNLP 2020. Mentioned in [Seb Ruder's NLP Newsletter](http://newsletter.ruder.io/issues/emnlp-2020-iclr-2021-toxicity-detection-data-augmentation-and-adversarial-examples-285207)

How Big Data Confers Market Power to Big Tech: Leveraging the Perspective of Data Science

The Antitrust Bulletin (Vol 65, Issue 3) -- September 2020

Question Rewriting for Conversational Question Answering

WSDM 2021. (Preprint: April 2020)

An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering

Machine Reading for Question Answering __Workshop at EMNLP 2019__ _(2nd place in Multi-Domain Generalization Competition)_

A way out of the Odyssey: Analyzing and combining recent insights for LSTMs

ArXiv. (November 2016)