Search Results for author: Ronak Pradeep

Found 6 papers, 4 papers with code

Exploring Listwise Evidence Reasoning with T5 for Fact Verification

no code implementations ACL 2021 Kelvin Jiang, Ronak Pradeep, Jimmy Lin

This work explores a framework for fact verification that leverages pretrained sequence-to-sequence transformer models for sentence selection and label prediction, two key sub-tasks in fact verification.

Data Augmentation Fact Verification

A Replication Study of Dense Passage Retriever

1 code implementation12 Apr 2021 Xueguang Ma, Kai Sun, Ronak Pradeep, Jimmy Lin

Text retrieval using learned dense representations has recently emerged as a promising alternative to "traditional" text retrieval using sparse bag-of-words representations.

Open-Domain Question Answering

Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations

1 code implementation19 Feb 2021 Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira

Pyserini is an easy-to-use Python toolkit that supports replicable IR research by providing effective first-stage retrieval in a multi-stage ranking architecture.

Information Retrieval

The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models

1 code implementation14 Jan 2021 Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin

We propose a design pattern for tackling text ranking problems, dubbed "Expando-Mono-Duo", that has been empirically validated for a number of ad hoc retrieval tasks in different domains.

Document Ranking

Scientific Claim Verification with VERT5ERINI

no code implementations EACL (Louhi) 2021 Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin

This work describes the adaptation of a pretrained sequence-to-sequence model to the task of scientific claim verification in the biomedical domain.

Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset

1 code implementation EMNLP (sdp) 2020 Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin

We present Covidex, a search engine that exploits the latest neural ranking models to provide information access to the COVID-19 Open Research Dataset curated by the Allen Institute for AI.

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