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05/26/2023
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies
Autoregressive language models are trained by minimizing the cross-entro...
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03/30/2023
BloombergGPT: A Large Language Model for Finance
The use of NLP in the realm of financial technology is broad and complex...
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02/10/2023
Distillation of encoder-decoder transformers for sequence labelling
Driven by encouraging results on a wide range of tasks, the field of NLP...
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01/25/2023
Weakly Supervised Headline Dependency Parsing
English news headlines form a register with unique syntactic properties ...
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10/01/2022
PathFinder: Discovering Decision Pathways in Deep Neural Networks
Explainability is becoming an increasingly important topic for deep neur...
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06/16/2021
Disentangling Online Chats with DAG-Structured LSTMs
Many modern messaging systems allow fast and synchronous textual communi...
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04/28/2021
Diversity-Aware Batch Active Learning for Dependency Parsing
While the predictive performance of modern statistical dependency parser...
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04/28/2021
Learning Syntax from Naturally-Occurring Bracketings
Naturally-occurring bracketings, such as answer fragments to natural lan...
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12/30/2020
kōan: A Corrected CBOW Implementation
It is a common belief in the NLP community that continuous bag-of-words ...
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10/21/2020
Semantic Role Labeling as Syntactic Dependency Parsing
We reduce the task of (span-based) PropBank-style semantic role labeling...
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08/02/2019
Dialogue Act Classification in Group Chats with DAG-LSTMs
Dialogue act (DA) classification has been studied for the past two decad...
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05/01/2019
On Expected Accuracy
We empirically investigate the (negative) expected accuracy as an altern...
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12/25/2018
Dropout Regularization in Hierarchical Mixture of Experts
Dropout is a very effective method in preventing overfitting and has bec...
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04/07/2018
Continuously Constructive Deep Neural Networks
Traditionally, deep learning algorithms update the network weights where...
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02/28/2018
Collective Entity Disambiguation with Structured Gradient Tree Boosting
We present a gradient-tree-boosting-based structured learning model for ...
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06/24/2015
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
Most tasks in natural language processing can be cast into question answ...
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12/20/2014
Modeling Compositionality with Multiplicative Recurrent Neural Networks
We present the multiplicative recurrent neural network as a general mode...
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12/19/2014
Distributed Decision Trees
Recently proposed budding tree is a decision tree algorithm in which eve...
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09/26/2014
Autoencoder Trees
We discuss an autoencoder model in which the encoding and decoding funct...
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12/02/2013
