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20112025
most citedLearning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars

794 citations · 5.7k across the 143 of their papers we have counts for

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Showing 2019Show all

28 papers · 1 filter

cs.CV2019

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

Mohit Shridhar, Jesse Thomason, Daniel Gordon +5

We present ALFRED (Action Learning From Realistic Environments and Directives), a benchmark for learning a mapping from natural language instructions and egocentric vision to seque…

cs.CL2019★ 11 cited

Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models

Siddharth Dalmia, Abdelrahman Mohamed, Mike Lewis +2

Inspired by modular software design principles of independence, interchangeability, and clarity of interface, we introduce a method for enforcing encoder-decoder modularity in seq2…

cs.CL2019★ 84 cited

Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering

Sewon Min, Danqi Chen, Luke Zettlemoyer +1

We introduce an approach for open-domain question answering (QA) that retrieves and reads a passage graph, where vertices are passages of text and edges represent relationships tha…

cs.CL2019★ 20 cited

Scalable Zero-shot Entity Linking with Dense Entity Retrieval

Ledell Wu, Fabio Petroni, Martin Josifoski +2

This paper introduces a conceptually simple, scalable, and highly effective BERT-based entity linking model, along with an extensive evaluation of its accuracy-speed trade-off. We…

cs.CL2019★ 3 cited

Controlled Crowdsourcing for High-Quality QA-SRL Annotation

Paul Roit, Ayal Klein, Daniela Stepanov +5

Question-answer driven Semantic Role Labeling (QA-SRL) was proposed as an attractive open and natural flavour of SRL, potentially attainable from laymen. Recently, a large-scale cr…

cs.CL2019

Unsupervised Cross-lingual Representation Learning at Scale

Alexis Conneau, Kartikay Khandelwal, Naman Goyal +7

This paper shows that pretraining multilingual language models at scale leads to significant performance gains for a wide range of cross-lingual transfer tasks. We train a Transfor…