Bhuwan Dhingra

research

∙ 05/30/2023

Hierarchical Multi-Instance Multi-Label Learning for Detecting Propaganda Techniques

Since the introduction of the SemEval 2020 Task 11 (Martino et al., 2020...

0 Anni Chen, et al. ∙

research

∙ 05/24/2023

Selectively Answering Ambiguous Questions

Trustworthy language models should abstain from answering questions when...

0 Jeremy R. Cole, et al. ∙

research

∙ 03/22/2023

Salient Span Masking for Temporal Understanding

Salient Span Masking (SSM) has shown itself to be an effective strategy ...

0 Jeremy R. Cole, et al. ∙

research

∙ 03/09/2023

Learning the Legibility of Visual Text Perturbations

Many adversarial attacks in NLP perturb inputs to produce visually simil...

0 Dev Seth, et al. ∙

research

∙ 03/01/2023

DIFFQG: Generating Questions to Summarize Factual Changes

Identifying the difference between two versions of the same article is u...

0 Jeremy R. Cole, et al. ∙

research

∙ 02/06/2023

Interface Design for Crowdsourcing Hierarchical Multi-Label Text Annotations

Human data labeling is an important and expensive task at the heart of s...

0 Rickard Stureborg, et al. ∙

research

∙ 09/14/2022

On the State of the Art in Authorship Attribution and Authorship Verification

Despite decades of research on authorship attribution (AA) and authorshi...

0 Jacob Tyo, et al. ∙

research

∙ 04/15/2022

Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models

With many real-world applications of Natural Language Processing (NLP) c...

0 Phyllis Ang, et al. ∙

research

∙ 04/12/2022

ASQA: Factoid Questions Meet Long-Form Answers

An abundance of datasets and availability of reliable evaluation metrics...

0 Ivan Stelmakh, et al. ∙

research

∙ 06/29/2021

Time-Aware Language Models as Temporal Knowledge Bases

Many facts come with an expiration date, from the name of the President ...

0 Bhuwan Dhingra, et al. ∙

research

∙ 04/10/2021

Fool Me Twice: Entailment from Wikipedia Gamification

We release FoolMeTwice (FM2 for short), a large dataset of challenging e...

0 Julian Martin Eisenschlos, et al. ∙

research

∙ 02/14/2021

Reasoning Over Virtual Knowledge Bases With Open Predicate Relations

We present the Open Predicate Query Language (OPQL); a method for constr...

0 Haitian Sun, et al. ∙

research

∙ 12/01/2020

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

While many methods purport to explain predictions by highlighting salien...

8 Danish Pruthi, et al. ∙

research

∙ 11/03/2020

Weakly- and Semi-supervised Evidence Extraction

For many prediction tasks, stakeholders desire not only predictions but ...

0 Danish Pruthi, et al. ∙

research

∙ 04/29/2020

ToTTo: A Controlled Table-To-Text Generation Dataset

We present ToTTo, an open-domain English table-to-text dataset with over...

0 Ankur P. Parikh, et al. ∙

research

∙ 02/25/2020

Differentiable Reasoning over a Virtual Knowledge Base

We consider the task of answering complex multi-hop questions using a co...

0 Bhuwan Dhingra, et al. ∙

research

∙ 09/17/2019

Learning to Deceive with Attention-Based Explanations

Attention mechanisms are ubiquitous components in neural architectures a...

0 Danish Pruthi, et al. ∙

research

∙ 09/13/2019

PubMedQA: A Dataset for Biomedical Research Question Answering

We introduce PubMedQA, a novel biomedical question answering (QA) datase...

0 Qiao Jin, et al. ∙

research

∙ 06/03/2019

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation

Automatically constructed datasets for generating text from semi-structu...

0 Bhuwan Dhingra, et al. ∙

research

∙ 05/27/2019

Combating Adversarial Misspellings with Robust Word Recognition

To combat adversarial spelling mistakes, we propose placing a word recog...

0 Danish Pruthi, et al. ∙

research

∙ 04/09/2019

Text Generation with Exemplar-based Adaptive Decoding

We propose a novel conditioned text generation model. It draws inspirati...

0 Hao Peng, et al. ∙

research

∙ 04/03/2019

Probing Biomedical Embeddings from Language Models

Contextualized word embeddings derived from pre-trained language models ...

0 Qiao Jin, et al. ∙

research

∙ 09/04/2018

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

Open Domain Question Answering (QA) is evolving from complex pipelined s...

0 Haitian Sun, et al. ∙

research

∙ 06/14/2018

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations

Modern deep transfer learning approaches have mainly focused on learning...

0 Zhilin Yang, et al. ∙

research

∙ 06/12/2018

Embedding Text in Hyperbolic Spaces

Natural language text exhibits hierarchical structure in a variety of re...

0 Bhuwan Dhingra, et al. ∙

research

∙ 04/16/2018

Neural Models for Reasoning over Multiple Mentions using Coreference

Many problems in NLP require aggregating information from multiple menti...

0 Bhuwan Dhingra, et al. ∙

research

∙ 04/02/2018

Simple and Effective Semi-Supervised Question Answering

Recent success of deep learning models for the task of extractive Questi...

0 Bhuwan Dhingra, et al. ∙

research

∙ 07/12/2017

Quasar: Datasets for Question Answering by Search and Reading

We present two new large-scale datasets aimed at evaluating systems desi...

0 Bhuwan Dhingra, et al. ∙

research

∙ 03/26/2017

Question Answering from Unstructured Text by Retrieval and Comprehension

Open domain Question Answering (QA) systems must interact with external ...

0 Yusuke Watanabe, et al. ∙

research

∙ 03/07/2017

Linguistic Knowledge as Memory for Recurrent Neural Networks

Training recurrent neural networks to model long term dependencies is di...

0 Bhuwan Dhingra, et al. ∙

research

∙ 03/05/2017

Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning

We propose a general approach to modeling semi-supervised learning (SSL)...

0 Lidong Bing, et al. ∙

research

∙ 03/02/2017

A Comparative Study of Word Embeddings for Reading Comprehension

The focus of past machine learning research for Reading Comprehension ta...

0 Bhuwan Dhingra, et al. ∙

research

∙ 12/17/2016

A User Simulator for Task-Completion Dialogues

Despite widespread interests in reinforcement-learning for task-oriented...

0 Xiujun Li, et al. ∙

research

∙ 11/06/2016

Words or Characters? Fine-grained Gating for Reading Comprehension

Previous work combines word-level and character-level representations us...

0 Zhilin Yang, et al. ∙

research

∙ 09/03/2016

Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access

This paper proposes KB-InfoBot -- a multi-turn dialogue agent which help...

0 Bhuwan Dhingra, et al. ∙

research

∙ 06/10/2016

Bootstrapping Distantly Supervised IE using Joint Learning and Small Well-structured Corpora

We propose a framework to improve performance of distantly-supervised re...

0 Lidong Bing, et al. ∙

research

∙ 06/05/2016

Gated-Attention Readers for Text Comprehension

In this paper we study the problem of answering cloze-style questions ov...

0 Bhuwan Dhingra, et al. ∙

research

∙ 05/11/2016

Tweet2Vec: Character-Based Distributed Representations for Social Media

Text from social media provides a set of challenges that can cause tradi...

0 Bhuwan Dhingra, et al. ∙

Bhuwan Dhingra

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