Information Retrieval / Question Answering
Summary
Building effective, efficient information retrieval (IR) systems is important and challenging, and such systems are indispensable for our daily lives. We need to be aware of latency, accuracy, contents, misinformation, and more. Information retrieval is also an essential component of question answering (QA) systems. Especially for Web-based QA systems, we retrieve relevant documents from tons of web articles by ranking them given a query, and extracting correct answers from such a large search space is challenging.
Related Publications
Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages
ACL 2023 (Findings)
This work was done while Shivanshu Gupta was an applied science intern at Amazon Alexa AI.
Paper Amazon Science Preprint Xtr-WikiQA TyDi-AS2Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems
EMNLP 2022 (Findings)
This work was done while I was an applied science intern at Amazon Alexa AI.
Paper Amazon Science Preprint CodeCOVIDLies: Detecting COVID-19 Misinformation on Social Media
EMNLP 2020 Workshop on NLP for COVID-19 (Part 2)
Best Paper Award* First four authors contributed equally.
Paper OpenReview DemoZOTBOT: Using Reading Comprehension and Commonsense Reasoning in Conversational Agents
Alexa Prize 2019
* Apart from the first and last authors, the authors are listed in alphabetical order.
PaperReranking for Efficient Transformer-based Answer Selection
SIGIR 2020
This work was done while I was an applied science intern at Amazon Alexa.
Paper Amazon Science Video