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03/16/2022
Label Semantics for Few Shot Named Entity Recognition
We study the problem of few shot learning for named entity recognition. ...
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06/17/2021
Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction
Detecting what emotions are expressed in text is a well-studied problem ...
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11/30/2020
Meta learning to classify intent and slot labels with noisy few shot examples
Recently deep learning has dominated many machine learning areas, includ...
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10/27/2020
To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging
Leveraging large amounts of unlabeled data using Transformer-like archit...
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10/06/2020
Resource-Enhanced Neural Model for Event Argument Extraction
Event argument extraction (EAE) aims to identify the arguments of an eve...
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05/04/2020
Exploring Content Selection in Summarization of Novel Chapters
We present a new summarization task, generating summaries of novel chapt...
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05/04/2020
Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions
Visual referring expression recognition is a challenging task that requi...
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05/01/2020
Evaluating Robustness to Input Perturbations for Neural Machine Translation
Neural Machine Translation (NMT) models are sensitive to small perturbat...
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04/10/2020
Joint translation and unit conversion for end-to-end localization
A variety of natural language tasks require processing of textual data w...
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04/08/2020
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events
In this paper, we propose a neural architecture and a set of training me...
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11/13/2019
Robustness to Capitalization Errors in Named Entity Recognition
Robustness to capitalization errors is a highly desirable characteristic...
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10/02/2019
Neural Word Decomposition Models for Abusive Language Detection
User generated text on social media often suffers from a lot of undesire...
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06/03/2019
Training Neural Machine Translation To Apply Terminology Constraints
This paper proposes a novel method to inject custom terminology into neu...
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07/24/2017
AMR Parsing using Stack-LSTMs
We present a transition-based AMR parser that directly generates AMR par...
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06/12/2017
Attention-based Vocabulary Selection for NMT Decoding
Neural Machine Translation (NMT) models usually use large target vocabul...
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02/06/2017
Beam Search Strategies for Neural Machine Translation
The basic concept in Neural Machine Translation (NMT) is to train a larg...
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02/06/2017
Ensemble Distillation for Neural Machine Translation
Knowledge distillation describes a method for training a student network...
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12/20/2016
Fast Domain Adaptation for Neural Machine Translation
Neural Machine Translation (NMT) is a new approach for automatic transla...
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08/09/2016
Temporal Attention Model for Neural Machine Translation
Attention-based Neural Machine Translation (NMT) models suffer from atte...
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06/13/2016