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10/06/2020
Efficient Meta Lifelong-Learning with Limited Memory
Current natural language processing models work well on a single task, y...
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05/04/2020
Soft Gazetteers for Low-Resource Named Entity Recognition
Traditional named entity recognition models use gazetteers (lists of ent...
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03/03/2020
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking
Cross-lingual entity linking (XEL) is the task of finding referents in a...
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03/01/2020
StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization
Traditional preneural approaches to single document summarization relied...
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11/22/2019
Optimizing Data Usage via Differentiable Rewards
To acquire a new skill, humans learn better and faster if a tutor, based...
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10/10/2019
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework
Learning multilingual representations of text has proven a successful me...
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09/15/2019
Learning Rhyming Constraints using Structured Adversaries
Existing recurrent neural language models often fail to capture higher-l...
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06/19/2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
With the capability of modeling bidirectional contexts, denoising autoen...
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06/02/2019
Domain Adaptation of Neural Machine Translation by Lexicon Induction
It has been previously noted that neural machine translation (NMT) is ve...
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02/24/2019
The ARIEL-CMU Systems for LoReHLT18
This paper describes the ARIEL-CMU submissions to the Low Resource Human...
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01/09/2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer networks have a potential of learning longer-term dependency...
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11/24/2018
Characterizing and Avoiding Negative Transfer
When labeled data is scarce for a specific target task, transfer learnin...
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11/09/2018
Zero-shot Neural Transfer for Cross-lingual Entity Linking
Cross-lingual entity linking maps an entity mention in a source language...
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08/29/2018
Neural Cross-Lingual Named Entity Recognition with Minimal Resources
For languages with no annotated resources, unsupervised transfer of natu...
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08/28/2018
Towards Semi-Supervised Learning for Deep Semantic Role Labeling
Neural models have shown several state-of-the-art performances on Semant...
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07/06/2018
Towards more Reliable Transfer Learning
Multi-source transfer learning has been proven effective when within-tar...
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11/20/2017
Likelihood Almost Free Inference Networks
Variational inference for latent variable models is prevalent in various...
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07/26/2017
Enforcing Constraints on Outputs with Unconstrained Inference
Increasingly, practitioners apply neural networks to complex problems in...
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07/16/2017
Normalized Gradient with Adaptive Stepsize Method for Deep Neural Network Training
In this paper, we propose a generic and simple algorithmic framework for...
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03/03/2017
Co-Clustering for Multitask Learning
This paper presents a new multitask learning framework that learns a sha...
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03/02/2017
Self-Paced Multitask Learning with Shared Knowledge
This paper introduces self-paced task selection to multitask learning, w...
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11/10/2016
Multi-Task Multiple Kernel Relationship Learning
This paper presents a novel multitask multiple kernel learning framework...
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08/06/2015
Privacy-Preserving Multi-Document Summarization
State-of-the-art extractive multi-document summarization systems are usu...
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07/10/2015
