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05/31/2023
Knowledge Base Question Answering for Space Debris Queries
Space agencies execute complex satellite operations that need to be supp...
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05/26/2023
Sentence-Incremental Neural Coreference Resolution
We propose a sentence-incremental neural coreference resolution system w...
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05/24/2023
The Larger They Are, the Harder They Fail: Language Models do not Recognize Identifier Swaps in Python
Large Language Models (LLMs) have successfully been applied to code gene...
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05/23/2023
Detecting and Mitigating Hallucinations in Multilingual Summarisation
Hallucinations pose a significant challenge to the reliability of neural...
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05/15/2023
PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India
This paper introduces PMIndiaSum, a new multilingual and massively paral...
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02/21/2023
Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making
We present a novel framework to generate causal explanations for the dec...
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02/18/2023
BERT is not The Count: Learning to Match Mathematical Statements with Proofs
We introduce a task consisting in matching a proof to a given mathematic...
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11/17/2022
Abstractive Summarization Guided by Latent Hierarchical Document Structure
Sequential abstractive neural summarizers often do not use the underlyin...
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10/22/2022
Understanding Domain Learning in Language Models Through Subpopulation Analysis
We investigate how different domains are encoded in modern neural networ...
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06/17/2022
A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning
Inscrutable AI systems are difficult to trust, especially if they operat...
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05/25/2022
Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents by Sampling Summary Views
We argue that disentangling content selection from the budget used to co...
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05/20/2022
On the Trade-off between Redundancy and Local Coherence in Summarization
Extractive summarization systems are known to produce poorly coherent an...
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03/15/2022
Gold Doesn't Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information
We describe a simple and effective method (Spectral Attribute removaL; S...
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10/05/2021
Co-training an Unsupervised Constituency Parser with Weak Supervision
We introduce a method for unsupervised parsing that relies on bootstrapp...
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04/16/2021
Unsupervised Extractive Summarization by Human Memory Simulation
Summarization systems face the core challenge of identifying and selecti...
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02/03/2021
Learning to Match Mathematical Statements with Proofs
We introduce a novel task consisting in assigning a proof to a given mat...
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01/17/2021
Narration Generation for Cartoon Videos
Research on text generation from multimodal inputs has largely focused o...
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10/23/2020
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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10/09/2020
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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09/28/2020
Reducing Quantity Hallucinations in Abstractive Summarization
It is well-known that abstractive summaries are subject to hallucination...
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08/17/2020
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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04/23/2020
Learning Dialog Policies from Weak Demonstrations
Deep reinforcement learning is a promising approach to training a dialog...
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09/07/2019
Semantic Role Labeling with Iterative Structure Refinement
Modern state-of-the-art Semantic Role Labeling (SRL) methods rely on exp...
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07/19/2019
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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04/21/2019
Obfuscation for Privacy-preserving Syntactic Parsing
The goal of homomorphic encryption is to encrypt data such that another ...
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04/03/2019
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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04/03/2019
Jointly Extracting and Compressing Documentswith Summary State Representations
We present a new neural model for text summarization that first extracts...
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04/01/2019
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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03/27/2019
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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02/24/2019
Unlexicalized Transition-based Discontinuous Constituency Parsing
Lexicalized parsing models are based on the assumptions that (i) constit...
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09/03/2018
Multilingual Clustering of Streaming News
Clustering news across languages enables efficient media monitoring by a...
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08/28/2018
Privacy-preserving Neural Representations of Text
This article deals with adversarial attacks towards deep learning system...
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08/27/2018
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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02/23/2018
Ranking Sentences for Extractive Summarization with Reinforcement Learning
Single document summarization is the task of producing a shorter version...
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10/31/2017
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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07/21/2017
Split and Rephrase
We propose a new sentence simplification task (Split-and-Rephrase) where...
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04/14/2017
Cross-lingual Abstract Meaning Representation Parsing
Abstract Meaning Representation (AMR) annotation efforts have mostly foc...
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04/14/2017
Neural Extractive Summarization with Side Information
Most extractive summarization methods focus on the main body of the docu...
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08/22/2016
An Incremental Parser for Abstract Meaning Representation
Meaning Representation (AMR) is a semantic representation for natural la...
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08/09/2016
Canonical Correlation Inference for Mapping Abstract Scenes to Text
We describe a technique for structured prediction, based on canonical co...
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06/07/2016
Optimizing Spectral Learning for Parsing
We describe a search algorithm for optimizing the number of latent state...
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01/22/2016
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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09/03/2015
Encoding Prior Knowledge with Eigenword Embeddings
Canonical correlation analysis (CCA) is a method for reducing the dimens...
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04/30/2015
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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06/28/2012