Search Results for author: Danish Pruthi

Found 13 papers, 11 papers with code

Learning to Scaffold: Optimizing Model Explanations for Teaching

1 code implementation22 Apr 2022 Patrick Fernandes, Marcos Treviso, Danish Pruthi, André F. T. Martins, Graham Neubig

In this work, leveraging meta-learning techniques, we extend this idea to improve the quality of the explanations themselves, specifically by optimizing explanations such that student models more effectively learn to simulate the original model.

Meta-Learning Natural Language Processing

Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations

1 code implementation17 Dec 2021 Siddhant Arora, Danish Pruthi, Norman Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig

Through our evaluation, we observe that for a linear bag-of-words model, participants with access to the feature coefficients during training are able to cause a larger reduction in model confidence in the testing phase when compared to the no-explanation control.

Deception Detection

Evaluating Explanations: How much do explanations from the teacher aid students?

1 code implementation1 Dec 2020 Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen

While many methods purport to explain predictions by highlighting salient features, what aims these explanations serve and how they ought to be evaluated often go unstated.

Question Answering Text Classification

Weakly- and Semi-supervised Evidence Extraction

1 code implementation Findings of the Association for Computational Linguistics 2020 Danish Pruthi, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton

For many prediction tasks, stakeholders desire not only predictions but also supporting evidence that a human can use to verify its correctness.

Why and when should you pool? Analyzing Pooling in Recurrent Architectures

1 code implementation Findings of the Association for Computational Linguistics 2020 Pratyush Maini, Keshav Kolluru, Danish Pruthi, Mausam

We find that pooling-based architectures substantially differ from their non-pooling equivalents in their learning ability and positional biases--which elucidate their performance benefits.

Text Classification

Combating Adversarial Misspellings with Robust Word Recognition

3 code implementations ACL 2019 Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton

To combat adversarial spelling mistakes, we propose placing a word recognition model in front of the downstream classifier.

Sentiment Analysis

compare-mt: A Tool for Holistic Comparison of Language Generation Systems

2 code implementations NAACL 2019 Graham Neubig, Zi-Yi Dou, Junjie Hu, Paul Michel, Danish Pruthi, Xinyi Wang, John Wieting

In this paper, we describe compare-mt, a tool for holistic analysis and comparison of the results of systems for language generation tasks such as machine translation.

Machine Translation Text Generation +1

Simple and Effective Semi-Supervised Question Answering

no code implementations NAACL 2018 Bhuwan Dhingra, Danish Pruthi, Dheeraj Rajagopal

Recent success of deep learning models for the task of extractive Question Answering (QA) is hinged on the availability of large annotated corpora.

Question Answering TriviaQA

SPINE: SParse Interpretable Neural Embeddings

1 code implementation23 Nov 2017 Anant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard Hovy

We propose a novel variant of denoising k-sparse autoencoders that generates highly efficient and interpretable distributed word representations (word embeddings), beginning with existing word representations from state-of-the-art methods like GloVe and word2vec.

Denoising Word Embeddings

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