Shay B. Cohen

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Chancellor's fellow (assistant professor) at the University of Edinburgh (School of Informatics). Before that, he was a postdoctoral research scientist in the Department of Computer Science at Columbia University

Narration Generation for Cartoon Videos

Research on text generation from multimodal inputs has largely focused o...
01/17/2021 ∙ by Nikos Papasarantopoulos, et al. ∙ 0 ∙ share

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A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing

Abstract Meaning Representations (AMR) are a broad-coverage semantic for...
10/23/2020 ∙ by Chunchuan Lyu, et al. ∙ 7 ∙ share

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Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation

AMR-to-text generation is used to transduce Abstract Meaning Representat...
10/09/2020 ∙ by Yan Zhang, et al. ∙ 0 ∙ share

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Reducing Quantity Hallucinations in Abstractive Summarization

It is well-known that abstractive summaries are subject to hallucination...
09/28/2020 ∙ by Zheng Zhao, et al. ∙ 0 ∙ share

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Learning Two-Layer Residual Networks with Nonparametric Function Estimation by Convex Programming

We focus on learning a two-layer residual neural network with preactivat...
08/17/2020 ∙ by Zhunxuan Wang, et al. ∙ 0 ∙ share

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Learning Dialog Policies from Weak Demonstrations

Deep reinforcement learning is a promising approach to training a dialog...
04/23/2020 ∙ by Gabriel Gordon-Hall, et al. ∙ 0 ∙ share

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Semantic Role Labeling with Iterative Structure Refinement

Modern state-of-the-art Semantic Role Labeling (SRL) methods rely on exp...
09/07/2019 ∙ by Chunchuan Lyu, et al. ∙ 0 ∙ share

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What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks

We introduce 'extreme summarization', a new single-document summarizatio...
07/19/2019 ∙ by Shashi Narayan, et al. ∙ 0 ∙ share

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Obfuscation for Privacy-preserving Syntactic Parsing

The goal of homomorphic encryption is to encrypt data such that another ...
04/21/2019 ∙ by Zhifeng Hu, et al. ∙ 6 ∙ share

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Jointly Extracting and Compressing Documents with Summary State Representations

We present a new neural model for text summarization that first extracts...
04/03/2019 ∙ by Afonso Mendes, et al. ∙ 0 ∙ share

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Jointly Extracting and Compressing Documentswith Summary State Representations

We present a new neural model for text summarization that first extracts...
04/03/2019 ∙ by Afonso Mendes, et al. ∙ 0 ∙ share

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Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle

We introduce a novel transition system for discontinuous constituency pa...
04/01/2019 ∙ by Maximin Coavoux, et al. ∙ 0 ∙ share

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Structural Neural Encoders for AMR-to-text Generation

AMR-to-text generation is a problem recently introduced to the NLP commu...
03/27/2019 ∙ by Marco Damonte, et al. ∙ 0 ∙ share

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Unlexicalized Transition-based Discontinuous Constituency Parsing

Lexicalized parsing models are based on the assumptions that (i) constit...
02/24/2019 ∙ by Maximin Coavoux, et al. ∙ 0 ∙ share

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Multilingual Clustering of Streaming News

Clustering news across languages enables efficient media monitoring by a...
09/03/2018 ∙ by Sebastião Miranda, et al. ∙ 0 ∙ share

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Privacy-preserving Neural Representations of Text

This article deals with adversarial attacks towards deep learning system...
08/28/2018 ∙ by Maximin Coavoux, et al. ∙ 0 ∙ share

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Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

We introduce extreme summarization, a new single-document summarization ...
08/27/2018 ∙ by Shashi Narayan, et al. ∙ 0 ∙ share

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Ranking Sentences for Extractive Summarization with Reinforcement Learning

Single document summarization is the task of producing a shorter version...
02/23/2018 ∙ by Shashi Narayan, et al. ∙ 0 ∙ share

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Whodunnit? Crime Drama as a Case for Natural Language Understanding

In this paper we argue that crime drama exemplified in television progra...
10/31/2017 ∙ by Lea Frermann, et al. ∙ 0 ∙ share

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Split and Rephrase

We propose a new sentence simplification task (Split-and-Rephrase) where...
07/21/2017 ∙ by Shashi Narayan, et al. ∙ 0 ∙ share

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Cross-lingual Abstract Meaning Representation Parsing

Abstract Meaning Representation (AMR) annotation efforts have mostly foc...
04/14/2017 ∙ by Marco Damonte, et al. ∙ 0 ∙ share

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Neural Extractive Summarization with Side Information

Most extractive summarization methods focus on the main body of the docu...
04/14/2017 ∙ by Shashi Narayan, et al. ∙ 0 ∙ share

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An Incremental Parser for Abstract Meaning Representation

Meaning Representation (AMR) is a semantic representation for natural la...
08/22/2016 ∙ by Marco Damonte, et al. ∙ 0 ∙ share

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Canonical Correlation Inference for Mapping Abstract Scenes to Text

We describe a technique for structured prediction, based on canonical co...
08/09/2016 ∙ by Nikos Papasarantopoulos, et al. ∙ 0 ∙ share

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Optimizing Spectral Learning for Parsing

We describe a search algorithm for optimizing the number of latent state...
06/07/2016 ∙ by Shashi Narayan, et al. ∙ 0 ∙ share

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Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing

One of the limitations of semantic parsing approaches to open-domain que...
01/22/2016 ∙ by Shashi Narayan, et al. ∙ 0 ∙ share

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Encoding Prior Knowledge with Eigenword Embeddings

Canonical correlation analysis (CCA) is a method for reducing the dimens...
09/03/2015 ∙ by Dominique Osborne, et al. ∙ 0 ∙ share

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Parsing Linear Context-Free Rewriting Systems with Fast Matrix Multiplication

We describe a matrix multiplication recognition algorithm for a subset o...
04/30/2015 ∙ by Shay B. Cohen, et al. ∙ 0 ∙ share

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Elimination of Spurious Ambiguity in Transition-Based Dependency Parsing

We present a novel technique to remove spurious ambiguity from transitio...
06/28/2012 ∙ by Shay B. Cohen, et al. ∙ 0 ∙ share

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Shay B. Cohen

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