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05/22/2023
Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis
Sentiment analysis (SA) systems are widely deployed in many of the world...
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05/19/2023
Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages
Sentiment analysis (SA) systems are used in many products and hundreds o...
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03/12/2022
Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in Practice
Classifiers in natural language processing (NLP) often have a large numb...
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12/31/2020
Intrinsic Bias Metrics Do Not Correlate with Application Bias
Natural Language Processing (NLP) systems learn harmful societal biases ...
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10/21/2020
LemMED: Fast and Effective Neural Morphological Analysis with Short Context Windows
We present LemMED, a character-level encoder-decoder for contextual morp...
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10/06/2020
LSTMs Compose (and Learn) Bottom-Up
Recent work in NLP shows that LSTM language models capture hierarchical ...
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05/18/2020
Inflecting when there's no majority: Limitations of encoder-decoder neural networks as cognitive models for German plurals
Can artificial neural networks learn to represent inflectional morpholog...
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04/27/2020
Word Interdependence Exposes How LSTMs Compose Representations
Recent work in NLP shows that LSTM language models capture compositional...
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11/12/2019
How to Evaluate Word Representations of Informal Domain?
Diverse word representations have surged in most state-of-the-art natura...
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09/30/2019
Semantic Graph Parsing with Recurrent Neural Network DAG Grammars
Semantic parses are directed acyclic graphs (DAGs), so semantic parsing ...
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09/06/2019
A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages
Parsers are available for only a handful of the world's languages, since...
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08/29/2019
Classifying topics in speech when all you have is crummy translations
Given a large amount of unannotated speech in a language with few resour...
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07/22/2019
Sparsity Emerges Naturally in Neural Language Models
Concerns about interpretability, computational resources, and principled...
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11/01/2018
Understanding Learning Dynamics Of Language Models with SVCCA
Recent work has demonstrated that neural language models encode linguist...
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10/29/2018
The problem with probabilistic DAG automata for semantic graphs
Semantic representations in the form of directed acyclic graphs (DAGs) h...
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10/04/2018
Neural Networks for Cross-lingual Negation Scope Detection
Negation scope has been annotated in several English and Chinese corpora...
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09/05/2018
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation
We present a simple approach to improve direct speech-to-text translatio...
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08/31/2018
Indicatements that character language models learn English morpho-syntactic units and regularities
Character language models have access to surface morphological patterns,...
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08/28/2018
What do character-level models learn about morphology? The case of dependency parsing
When parsing morphologically-rich languages with neural models, it is be...
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03/24/2018
Low-Resource Speech-to-Text Translation
Speech-to-text translation has many potential applications for low-resou...
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08/01/2017
A Generative Parser with a Discriminative Recognition Algorithm
Generative models defining joint distributions over parse trees and sent...
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04/26/2017
From Characters to Words to in Between: Do We Capture Morphology?
Words can be represented by composing the representations of subword uni...
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02/13/2017
Towards speech-to-text translation without speech recognition
We explore the problem of translating speech to text in low-resource sce...
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02/10/2017
Universal Dependencies to Logical Forms with Negation Scope
Many language technology applications would benefit from the ability to ...
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06/27/2016