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05/31/2023
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces
Much of the previous work towards digital agents for graphical user inte...
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05/23/2023
Anchor Prediction: Automatic Refinement of Internet Links
Internet links enable users to deepen their understanding of a topic by ...
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05/19/2023
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations
Formulating selective information needs results in queries that implicit...
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04/11/2023
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
We propose Conditional Adapter (CoDA), a parameter-efficient transfer le...
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02/22/2023
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities
Large-scale multi-modal pre-training models such as CLIP and PaLI exhibi...
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04/02/2022
Generating recommendations for entity-oriented exploratory search
We introduce the task of recommendation set generation for entity-orient...
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06/30/2021
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer
Despite their success, large pre-trained multilingual models have not co...
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04/17/2021
Joint Passage Ranking for Diverse Multi-Answer Retrieval
We study multi-answer retrieval, an under-explored problem that requires...
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02/02/2021
Neural Data Augmentation via Example Extrapolation
In many applications of machine learning, certain categories of examples...
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01/01/2021
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
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11/09/2020
CapWAP: Captioning with a Purpose
The traditional image captioning task uses generic reference captions to...
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10/22/2020
XOR QA: Cross-lingual Open-Retrieval Question Answering
Multilingual question answering tasks typically assume answers exist in ...
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05/05/2020
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering
We address the problem of extractive question answering using document-l...
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04/24/2020
Contextualized Representations Using Textual Encyclopedic Knowledge
We present a method to represent input texts by contextualizing them joi...
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02/10/2020
REALM: Retrieval-Augmented Language Model Pre-Training
Language model pre-training has been shown to capture a surprising amoun...
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08/31/2019
Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension
Reading comprehension models have been successfully applied to extractiv...
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08/23/2019
Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation
Recent developments in NLP have been accompanied by large, expensive mod...
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06/18/2019
Zero-Shot Entity Linking by Reading Entity Descriptions
We present the zero-shot entity linking task, where mentions must be lin...
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06/01/2019
Latent Retrieval for Weakly Supervised Open Domain Question Answering
Recent work on open domain question answering (QA) assumes strong superv...
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05/24/2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
In this paper we study yes/no questions that are naturally occurring ---...
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01/26/2019
Language Model Pre-training for Hierarchical Document Representations
Hierarchical neural architectures are often used to capture long-distanc...
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01/24/2019
A BERT Baseline for the Natural Questions
This technical note describes a new baseline for the Natural Questions. ...
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11/05/2018
Improving Span-based Question Answering Systems with Coarsely Labeled Data
We study approaches to improve fine-grained short answer Question Answer...
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10/11/2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
We introduce a new language representation model called BERT, which stan...
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08/30/2018
Syntactic Scaffolds for Semantic Structures
We introduce the syntactic scaffold, an approach to incorporating syntac...
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05/12/2018
Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling
Recent BIO-tagging-based neural semantic role labeling models are very h...
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05/09/2018
Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum
LSTMs were introduced to combat vanishing gradients in simple RNNs by au...
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04/15/2018
Higher-order Coreference Resolution with Coarse-to-fine Inference
We introduce a fully differentiable approximation to higher-order infere...
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02/15/2018
Deep contextualized word representations
We introduce a new type of deep contextualized word representation that ...
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07/21/2017
End-to-end Neural Coreference Resolution
We introduce the first end-to-end coreference resolution model and show ...
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05/21/2017
Recurrent Additive Networks
We introduce recurrent additive networks (RANs), a new gated RNN which i...
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11/04/2016
Learning Recurrent Span Representations for Extractive Question Answering
The reading comprehension task, that asks questions about a given eviden...
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07/05/2016
