Hannaneh Hajishirzi

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University of Washington

Research Assistant Professor at the University of Washington

IIRC: A Dataset of Incomplete Information Reading Comprehension Questions

Humans often have to read multiple documents to address their informatio...
11/13/2020 ∙ by James Ferguson, et al. ∙ 0 ∙ share

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XOR QA: Cross-lingual Open-Retrieval Question Answering

Multilingual question answering tasks typically assume answers exist in ...
10/22/2020 ∙ by Akari Asai, et al. ∙ 9 ∙ share

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MedICaT: A Dataset of Medical Images, Captions, and Textual References

Understanding the relationship between figures and text is key to scient...
10/12/2020 ∙ by Sanjay Subramanian, et al. ∙ 18 ∙ share

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Extracting a Knowledge Base of Mechanisms from COVID-19 Papers

The urgency of mitigating COVID-19 has spawned a large and diverse body ...
10/08/2020 ∙ by Aida Amini, et al. ∙ 0 ∙ share

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X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers

Mirroring the success of masked language models, vision-and-language cou...
09/23/2020 ∙ by Jaemin Cho, et al. ∙ 4 ∙ share

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Extracting Summary Knowledge Graphs from Long Documents

Knowledge graphs capture entities and relations from long documents and ...
09/19/2020 ∙ by Zeqiu Wu, et al. ∙ 0 ∙ share

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DeLighT: Very Deep and Light-weight Transformer

We introduce a very deep and light-weight transformer, DeLighT, that del...
08/03/2020 ∙ by Sachin Mehta, et al. ∙ 0 ∙ share

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HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images

Training end-to-end networks for classifying gigapixel size histopatholo...
07/25/2020 ∙ by Sachin Mehta, et al. ∙ 13 ∙ share

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UnifiedQA: Crossing Format Boundaries With a Single QA System

Question answering (QA) tasks have been posed using a variety of formats...
05/02/2020 ∙ by Daniel Khashabi, et al. ∙ 4 ∙ share

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An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction

Decisions of complex language understanding models can be rationalized b...
05/01/2020 ∙ by Bhargavi Paranjape, et al. ∙ 0 ∙ share

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Probing Text Models for Common Ground with Visual Representations

Vision, as a central component of human perception, plays a fundamental ...
05/01/2020 ∙ by Gabriel Ilharco, et al. ∙ 0 ∙ share

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A Controllable Model of Grounded Response Generation

Current end-to-end neural conversation models inherently lack the flexib...
05/01/2020 ∙ by Zeqiu Wu, et al. ∙ 0 ∙ share

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SciREX: A Challenge Dataset for Document-Level Information Extraction

Extracting information from full documents is an important problem in ma...
05/01/2020 ∙ by Sarthak Jain, et al. ∙ 0 ∙ share

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Fact or Fiction: Verifying Scientific Claims

We introduce the task of scientific fact-checking. Given a corpus of sci...
04/30/2020 ∙ by David Wadden, et al. ∙ 0 ∙ share

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AmbigQA: Answering Ambiguous Open-domain Questions

Ambiguity is inherent to open-domain question answering; especially when...
04/22/2020 ∙ by Sewon Min, et al. ∙ 7 ∙ share

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Logic-Guided Data Augmentation and Regularization for Consistent Question Answering

Many natural language questions require qualitative, quantitative or log...
04/21/2020 ∙ by Akari Asai, et al. ∙ 0 ∙ share

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Procedural Reading Comprehension with Attribute-Aware Context Flow

Procedural texts often describe processes (e.g., photosynthesis and cook...
03/31/2020 ∙ by Aida Amini, et al. ∙ 0 ∙ share

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Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

Fine-tuning pretrained contextual word embedding models to supervised do...
02/15/2020 ∙ by Jesse Dodge, et al. ∙ 0 ∙ share

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DeFINE: DEep Factorized INput Word Embeddings for Neural Sequence Modeling

For sequence models with large word-level vocabularies, a majority of ne...
11/27/2019 ∙ by Sachin Mehta, et al. ∙ 0 ∙ share

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Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Answering questions that require multi-hop reasoning at web-scale necess...
11/24/2019 ∙ by Akari Asai, et al. ∙ 0 ∙ share

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Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering

This paper presents a general approach for open-domain question answerin...
11/10/2019 ∙ by Sewon Min, et al. ∙ 30 ∙ share

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Contextualized Sparse Representation with Rectified N-Gram Attention for Open-Domain Question Answering

A sparse representation is known to be an effective means to encode prec...
11/07/2019 ∙ by Jinhyuk Lee, et al. ∙ 0 ∙ share

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Question Answering is a Format; When is it Useful?

Recent years have seen a dramatic expansion of tasks and datasets posed ...
09/25/2019 ∙ by Matt Gardner, et al. ∙ 0 ∙ share

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A Discrete Hard EM Approach for Weakly Supervised Question Answering

Many question answering (QA) tasks only provide weak supervision for how...
09/11/2019 ∙ by Sewon Min, et al. ∙ 0 ∙ share

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Entity. Relation, and Event Extraction with Contextualized Span Representations

We examine the capabilities of a unified, multi-task framework for three...
09/08/2019 ∙ by David Wadden, et al. ∙ 0 ∙ share

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Mixture Content Selection for Diverse Sequence Generation

Generating diverse sequences is important in many NLP applications such ...
09/04/2019 ∙ by Jaemin Cho, et al. ∙ 0 ∙ share

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Potential-Based Advice for Stochastic Policy Learning

This paper augments the reward received by a reinforcement learning agen...
07/20/2019 ∙ by Baicen Xiao, et al. ∙ 6 ∙ share

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Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index

Existing open-domain question answering (QA) models are not suitable for...
06/13/2019 ∙ by Minjoon Seo, et al. ∙ 0 ∙ share

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DiCENet: Dimension-wise Convolutions for Efficient Networks

In this paper, we propose a new CNN model DiCENet, that is built using: ...
06/08/2019 ∙ by Sachin Mehta, et al. ∙ 4 ∙ share

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Multi-hop Reading Comprehension through Question Decomposition and Rescoring

Multi-hop Reading Comprehension (RC) requires reasoning and aggregation ...
06/07/2019 ∙ by Sewon Min, et al. ∙ 2 ∙ share

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Compositional Questions Do Not Necessitate Multi-hop Reasoning

Multi-hop reading comprehension (RC) questions are challenging because t...
06/07/2019 ∙ by Sewon Min, et al. ∙ 6 ∙ share

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MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

We introduce a large-scale dataset of math word problems and an interpre...
05/30/2019 ∙ by Aida Amini, et al. ∙ 0 ∙ share

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A General Framework for Information Extraction using Dynamic Span Graphs

We introduce a general framework for several information extraction task...
04/05/2019 ∙ by Yi Luan, et al. ∙ 0 ∙ share

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Text Generation from Knowledge Graphs with Graph Transformers

Generating texts which express complex ideas spanning multiple sentences...
04/04/2019 ∙ by Rik Koncel-Kedziorski, et al. ∙ 0 ∙ share

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ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network

We introduce a light-weight, power efficient, and general purpose convol...
11/28/2018 ∙ by Sachin Mehta, et al. ∙ 10 ∙ share

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Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction

We introduce a multi-task setup of identifying and classifying entities,...
08/29/2018 ∙ by Yi Luan, et al. ∙ 0 ∙ share

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Pyramidal Recurrent Unit for Language Modeling

LSTMs are powerful tools for modeling contextual information, as evidenc...
08/27/2018 ∙ by Sachin Mehta, et al. ∙ 0 ∙ share

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Scientific Relation Extraction with Selectively Incorporated Concept Embeddings

This paper describes our submission for the SemEval 2018 Task 7 shared t...
08/26/2018 ∙ by Yi Luan, et al. ∙ 0 ∙ share

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Semi-Supervised Event Extraction with Paraphrase Clusters

Supervised event extraction systems are limited in their accuracy due to...
08/26/2018 ∙ by James Ferguson, et al. ∙ 0 ∙ share

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Data-Driven Methods for Solving Algebra Word Problems

We explore contemporary, data-driven techniques for solving math word pr...
04/28/2018 ∙ by Benjamin Robaidek, et al. ∙ 0 ∙ share

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Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension

The current trend of extractive question answering (QA) heavily relies o...
04/20/2018 ∙ by Minjoon Seo, et al. ∙ 0 ∙ share

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ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

We introduce a fast and efficient convolutional neural network, ESPNet, ...
03/19/2018 ∙ by Sachin Mehta, et al. ∙ 0 ∙ share

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Identifying Most Walkable Direction for Navigation in an Outdoor Environment

We present an approach for identifying the most walkable direction for n...
11/21/2017 ∙ by Sachin Mehta, et al. ∙ 0 ∙ share

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Neural Speed Reading via Skim-RNN

Inspired by the principles of speed reading, we introduce Skim-RNN, a re...
11/06/2017 ∙ by Minjoon Seo, et al. ∙ 0 ∙ share

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Scientific Information Extraction with Semi-supervised Neural Tagging

This paper addresses the problem of extracting keyphrases from scientifi...
08/21/2017 ∙ by Yi Luan, et al. ∙ 0 ∙ share

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Question Answering through Transfer Learning from Large Fine-grained Supervision Data

We show that the task of question answering (QA) can significantly benef...
02/07/2017 ∙ by Sewon Min, et al. ∙ 0 ∙ share

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Bidirectional Attention Flow for Machine Comprehension

Machine comprehension (MC), answering a query about a given context para...
11/05/2016 ∙ by Minjoon Seo, et al. ∙ 0 ∙ share

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A Theme-Rewriting Approach for Generating Algebra Word Problems

Texts present coherent stories that have a particular theme or overall s...
10/19/2016 ∙ by Rik Koncel-Kedziorski, et al. ∙ 0 ∙ share

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Query-Reduction Networks for Question Answering

In this paper, we study the problem of question answering when reasoning...
06/14/2016 ∙ by Minjoon Seo, et al. ∙ 0 ∙ share

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Disfluency Detection using a Bidirectional LSTM

We introduce a new approach for disfluency detection using a Bidirection...
04/12/2016 ∙ by Vicky Zayats, et al. ∙ 0 ∙ share

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Hannaneh Hajishirzi

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