Kristina Toutanova | DeepAI

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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...

0 Peter Shaw, et al. ∙

∙ 05/23/2023

Anchor Prediction: Automatic Refinement of Internet Links

Internet links enable users to deepen their understanding of a topic by ...

0 Nelson F. Liu, et al. ∙

∙ 05/19/2023

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations

Formulating selective information needs results in queries that implicit...

0 Chaitanya Malaviya, et al. ∙

∙ 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...

0 Hexiang Hu, et al. ∙

∙ 05/24/2022

Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing

Despite their strong performance on many tasks, pre-trained language mod...

0 Linlu Qiu, et al. ∙

∙ 04/02/2022

Generating recommendations for entity-oriented exploratory search

We introduce the task of recommendation set generation for entity-orient...

0 David Wadden, et al. ∙

∙ 12/14/2021

Improving Compositional Generalization with Latent Structure and Data Augmentation

Generic unstructured neural networks have been shown to struggle on out-...

6 Linlu Qiu, et al. ∙

∙ 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...

0 Iulia Turc, et al. ∙

∙ 04/17/2021

Joint Passage Ranking for Diverse Multi-Answer Retrieval

We study multi-answer retrieval, an under-explored problem that requires...

0 Sewon Min, et al. ∙

∙ 01/26/2021

Representations for Question Answering from Documents with Tables and Text

Tables in Web documents are pervasive and can be directly used to answer...

0 Vicky Zayats, et al. ∙

∙ 10/24/2020

Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?

Sequence-to-sequence models excel at handling natural language variation...

7 Peter Shaw, et al. ∙

∙ 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...

0 Hao Cheng, et al. ∙

∙ 05/01/2020

Sparse, Dense, and Attentional Representations for Text Retrieval

Dual encoder architectures perform retrieval by encoding documents and q...

0 Yi Luan, et al. ∙

∙ 04/24/2020

Contextualized Representations Using Textual Encyclopedic Knowledge

We present a method to represent input texts by contextualizing them joi...

0 Mandar Joshi, et al. ∙

∙ 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...

0 Iulia Turc, et al. ∙

∙ 06/18/2019

Zero-Shot Entity Linking by Reading Entity Descriptions

We present the zero-shot entity linking task, where mentions must be lin...

0 Lajanugen Logeswaran, et al. ∙

∙ 06/01/2019

Latent Retrieval for Weakly Supervised Open Domain Question Answering

Recent work on open domain question answering (QA) assumes strong superv...

0 Kenton Lee, et al. ∙

∙ 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 ---...

0 Christopher Clark, et al. ∙

∙ 01/26/2019

Language Model Pre-training for Hierarchical Document Representations

Hierarchical neural architectures are often used to capture long-distanc...

0 Ming-Wei Chang, et al. ∙

∙ 11/05/2018

Improving Span-based Question Answering Systems with Coarsely Labeled Data

We study approaches to improve fine-grained short answer Question Answer...

0 Hao Cheng, et al. ∙

∙ 10/11/2018

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

We introduce a new language representation model called BERT, which stan...

0 Jacob Devlin, et al. ∙

∙ 08/12/2017

Cross-Sentence N-ary Relation Extraction with Graph LSTMs

Past work in relation extraction has focused on binary relations in sing...

0 Nanyun Peng, et al. ∙

∙ 07/07/2017

A Nested Attention Neural Hybrid Model for Grammatical Error Correction

Grammatical error correction (GEC) systems strive to correct both global...

0 Jianshu Ji, et al. ∙

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