Lista de obras - Luke Zettlemoyer - Dominio Público Uruguay

3D Wikipedia

scholarly article by Bryan C. Russell et al published 1 November 2013 in ACM Transactions on Graphics

AllenNLP: A Deep Semantic Natural Language Processing Platform ⬇️

white paper

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension ⬇️

BERT for Coreference Resolution: Baselines and Analysis

CM3: A Causal Masked Multimodal Model of the Internet ⬇️

artículo científico publicado en 2022

Cloze-driven Pretraining of Self-attention Networks ⬇️

artículo científico publicado en 2019

Deep contextualized word representations ⬇️

scholarly article

Efficient Large Scale Language Modeling with Mixtures of Experts ⬇️

artículo científico publicado en 2021

HTLM: Hyper-Text Pre-Training and Prompting of Language Models ⬇️

artículo científico publicado en 2021

Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning ⬇️

artículo científico publicado en 2020

Learning a Neural Semantic Parser from User Feedback ⬇️

artículo científico publicado en 2017

Learning to Parse Natural Language Commands to a Robot Control System

Multi-Agent Filtering with Infinitely Nested Beliefs ⬇️

Multi-hop Reading Comprehension through Question Decomposition and Rescoring ⬇️

artículo científico publicado en 2019

OPT: Open Pre-trained Transformer Language Models ⬇️

artículo científico publicado en 2022

Pre-training via Paraphrasing ⬇️

Recognizing and Imitating Programmer Style: Adversaries in Program Authorship Attribution

artículo científico publicado en 2018

RoBERTa: A Robustly Optimized BERT Pretraining Approach ⬇️

artículo científico publicado en 2019

Situation Recognition: Visual Semantic Role Labeling for Image Understanding

artículo científico publicado en 2016

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension ⬇️

Unsupervised Cross-lingual Representation Learning at Scale ⬇️

Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering ⬇️

artículo científico publicado en 2019

Lista de obras de Luke Zettlemoyer

3D Wikipedia

AllenNLP: A Deep Semantic Natural Language Processing Platform ⬇️

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension ⬇️

BERT for Coreference Resolution: Baselines and Analysis

CM3: A Causal Masked Multimodal Model of the Internet ⬇️

Cloze-driven Pretraining of Self-attention Networks ⬇️

Deep contextualized word representations ⬇️

Efficient Large Scale Language Modeling with Mixtures of Experts ⬇️

HTLM: Hyper-Text Pre-Training and Prompting of Language Models ⬇️

Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning ⬇️

Learning a Neural Semantic Parser from User Feedback ⬇️

Learning to Parse Natural Language Commands to a Robot Control System

Multi-Agent Filtering with Infinitely Nested Beliefs ⬇️

Multi-hop Reading Comprehension through Question Decomposition and Rescoring ⬇️

OPT: Open Pre-trained Transformer Language Models ⬇️

Pre-training via Paraphrasing ⬇️

Recognizing and Imitating Programmer Style: Adversaries in Program Authorship Attribution

RoBERTa: A Robustly Optimized BERT Pretraining Approach ⬇️

Situation Recognition: Visual Semantic Role Labeling for Image Understanding

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension ⬇️

Unsupervised Cross-lingual Representation Learning at Scale ⬇️

Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering ⬇️