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Narration Generation for Cartoon Videos
Research on text generation from multimodal inputs has largely focused o...
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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...
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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...
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Reducing Quantity Hallucinations in Abstractive Summarization
It is well-known that abstractive summaries are subject to hallucination...
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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...
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Learning Dialog Policies from Weak Demonstrations
Deep reinforcement learning is a promising approach to training a dialog...
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Semantic Role Labeling with Iterative Structure Refinement
Modern state-of-the-art Semantic Role Labeling (SRL) methods rely on exp...
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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...
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Obfuscation for Privacy-preserving Syntactic Parsing
The goal of homomorphic encryption is to encrypt data such that another ...
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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...
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Jointly Extracting and Compressing Documentswith Summary State Representations
We present a new neural model for text summarization that first extracts...
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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...
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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...
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Unlexicalized Transition-based Discontinuous Constituency Parsing
Lexicalized parsing models are based on the assumptions that (i) constit...
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Multilingual Clustering of Streaming News
Clustering news across languages enables efficient media monitoring by a...
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Privacy-preserving Neural Representations of Text
This article deals with adversarial attacks towards deep learning system...
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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 ...
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Ranking Sentences for Extractive Summarization with Reinforcement Learning
Single document summarization is the task of producing a shorter version...
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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...
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Split and Rephrase
We propose a new sentence simplification task (Split-and-Rephrase) where...
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Cross-lingual Abstract Meaning Representation Parsing
Abstract Meaning Representation (AMR) annotation efforts have mostly foc...
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Neural Extractive Summarization with Side Information
Most extractive summarization methods focus on the main body of the docu...
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An Incremental Parser for Abstract Meaning Representation
Meaning Representation (AMR) is a semantic representation for natural la...
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Canonical Correlation Inference for Mapping Abstract Scenes to Text
We describe a technique for structured prediction, based on canonical co...
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Optimizing Spectral Learning for Parsing
We describe a search algorithm for optimizing the number of latent state...
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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...
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Encoding Prior Knowledge with Eigenword Embeddings
Canonical correlation analysis (CCA) is a method for reducing the dimens...
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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...
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Elimination of Spurious Ambiguity in Transition-Based Dependency Parsing
We present a novel technique to remove spurious ambiguity from transitio...
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