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08/28/2023
GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction
Document-level relation extraction aims to identify relationships betwee...
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05/15/2023
TESS: Text-to-Text Self-Conditioned Simplex Diffusion
Diffusion models have emerged as a powerful paradigm for generation, obt...
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11/02/2022
RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question
Existing metrics for evaluating the quality of automatically generated q...
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10/26/2022
Privacy Analysis of Samsung's Crowd-Sourced Bluetooth Location Tracking System
We present a detailed privacy analysis of Samsung's Offline Finding (OF)...
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10/20/2022
SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages
In recent years, multilingual machine translation models have achieved p...
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07/27/2022
A Variational AutoEncoder for Transformers with Nonparametric Variational Information Bottleneck
We propose a VAE for Transformers by developing a variational informatio...
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05/22/2022
What Do Compressed Multilingual Machine Translation Models Forget?
Recently, very large pre-trained models achieve state-of-the-art results...
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04/03/2022
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models
Current methods for few-shot fine-tuning of pretrained masked language m...
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03/30/2022
Graph Refinement for Coreference Resolution
The state-of-the-art models for coreference resolution are based on inde...
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03/07/2022
HyperMixer: An MLP-based Green AI Alternative to Transformers
Transformer-based architectures are the model of choice for natural lang...
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10/13/2021
Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation
Text autoencoders are often used for unsupervised conditional text gener...
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09/02/2021
Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning
Though language model text embeddings have revolutionized NLP research, ...
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07/05/2021
The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task
We describe the DCU-EPFL submission to the IWPT 2021 Shared Task on Pars...
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06/10/2021
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning
While large-scale pretrained language models have obtained impressive re...
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06/08/2021
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
Adapting large-scale pretrained language models to downstream tasks via ...
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06/08/2021
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks
State-of-the-art parameter-efficient fine-tuning methods rely on introdu...
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06/04/2021
The Closer You Look, The More You Learn: A Grey-box Approach to Protocol State Machine Learning
In this paper, we propose a new approach to infer state machine models f...
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04/15/2021
Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling
The goal of semantic role labelling (SRL) is to recognise the predicate-...
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02/01/2021
Inducing Meaningful Units from Character Sequences with Slot Attention
Characters do not convey meaning, but sequences of characters do. We pro...
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10/16/2020
Multi-Adversarial Learning for Cross-Lingual Word Embeddings
Generative adversarial networks (GANs) have succeeded in inducing cross-...
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10/06/2020
Plug and Play Autoencoders for Conditional Text Generation
Text autoencoders are commonly used for conditional generation tasks suc...
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05/13/2020
The Unstoppable Rise of Computational Linguistics in Deep Learning
In this paper, we trace the history of neural networks applied to natura...
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03/29/2020
Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement
We propose the Recursive Non-autoregressive Graph-to-graph Transformer a...
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11/08/2019
Graph-to-Graph Transformer for Transition-based Dependency Parsing
Transition-based dependency parsing is a challenging task for conditioni...
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09/13/2019
simple but effective techniques to reduce biases
There have been several studies recently showing that strong natural lan...
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08/26/2019
Partially-supervised Mention Detection
Learning to detect entity mentions without using syntactic information c...
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05/29/2019
Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains
Neural language modeling (LM) has led to significant improvements in sev...
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05/14/2019
Deep Residual Output Layers for Neural Language Generation
Many tasks, including language generation, benefit from learning the str...
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04/20/2019
Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings
Distributed representations of words which map each word to a continuous...
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10/05/2018
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation
This paper demonstrates that word sense disambiguation (WSD) can improve...
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09/05/2018
Document-Level Neural Machine Translation with Hierarchical Attention Networks
Neural Machine Translation (NMT) can be improved by including document-l...
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08/31/2018
Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation
Tying the weights of the target word embeddings with the target word cla...
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06/16/2018
Joint Input-Label Embedding for Neural Text Classification
Neural text classification methods typically treat output classes as cat...
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10/06/2017
Learning Word Embeddings for Hyponymy with Entailment-Based Distributional Semantics
Lexical entailment, such as hyponymy, is a fundamental issue in the sema...
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09/30/2017
Bag-of-Vector Embeddings of Dependency Graphs for Semantic Induction
Vector-space models, from word embeddings to neural network parsers, hav...
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07/13/2016
A Vector Space for Distributional Semantics for Entailment
Distributional semantics creates vector-space representations that captu...
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03/04/2016
A Bayesian Model of Multilingual Unsupervised Semantic Role Induction
We propose a Bayesian model of unsupervised semantic role induction in m...
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04/16/2013
