Pradeep Dasigi | DeepAI

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∙ 05/19/2023

Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval

Neural information retrieval often adopts a retrieve-and-rerank framewor...

0 Revanth Gangi Reddy, et al. ∙

∙ 01/30/2023

LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization

While human evaluation remains best practice for accurately judging the ...

4 Kalpesh Krishna, et al. ∙

∙ 12/02/2022

AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization

Models trained via empirical risk minimization (ERM) are known to rely o...

0 Bhargavi Paranjape, et al. ∙

∙ 12/01/2022

Data-Efficient Finetuning Using Cross-Task Nearest Neighbors

Language models trained on massive prompted multitask datasets like T0 (...

0 Hamish Ivison, et al. ∙

∙ 03/24/2022

Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets

Natural language processing models often exploit spurious correlations b...

0 Yuxiang WU, et al. ∙

∙ 05/07/2021

A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Readers of academic research papers often read with the goal of answerin...

21 Pradeep Dasigi, et al. ∙

∙ 04/18/2021

Learning with Instance Bundles for Reading Comprehension

When training most modern reading comprehension models, all the question...

13 Dheeru Dua, et al. ∙

∙ 03/22/2021

Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization

Question Answering (QA) tasks requiring information from multiple docume...

0 Ansong Ni, et al. ∙

∙ 11/13/2020

IIRC: A Dataset of Incomplete Information Reading Comprehension Questions

Humans often have to read multiple documents to address their informatio...

0 James Ferguson, et al. ∙

∙ 10/06/2020

Easy, Reproducible and Quality-Controlled Data Collection with Crowdaq

High-quality and large-scale data are key to success for AI systems. How...

0 Qiang Ning, et al. ∙

∙ 04/06/2020

Evaluating NLP Models via Contrast Sets

Standard test sets for supervised learning evaluate in-distribution gene...

0 Matt Gardner, et al. ∙

∙ 08/16/2019

Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning

Machine comprehension of texts longer than a single sentence often requi...

0 Pradeep Dasigi, et al. ∙

∙ 03/01/2019

DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Reading comprehension has recently seen rapid progress, with systems mat...

0 Dheeru Dua, et al. ∙

∙ 03/20/2018

AllenNLP: A Deep Semantic Natural Language Processing Platform

This paper describes AllenNLP, a platform for research on deep learning ...

0 Matt Gardner, et al. ∙

∙ 05/08/2017

Ontology-Aware Token Embeddings for Prepositional Phrase Attachment

Type-level word embeddings use the same set of parameters to represent a...

0 Pradeep Dasigi, et al. ∙

∙ 02/17/2017

Experiment Segmentation in Scientific Discourse as Clause-level Structured Prediction using Recurrent Neural Networks

We propose a deep learning model for identifying structure within experi...

0 Pradeep Dasigi, et al. ∙

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