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05/01/2023
Learning to Reason and Memorize with Self-Notes
Large language models have been shown to struggle with limited context m...
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09/21/2022
Adapting Pretrained Text-to-Text Models for Long Text Sequences
We present an empirical study of adapting an existing pretrained text-to...
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08/30/2022
Efficient and Interpretable Neural Models for Entity Tracking
What would it take for a natural language model to understand a novel, s...
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09/20/2021
On Generalization in Coreference Resolution
While coreference resolution is defined independently of dataset domain,...
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02/26/2021
Learning Chess Blindfolded: Evaluating Language Models on State Tracking
Transformer language models have made tremendous strides in natural lang...
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10/06/2020
Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks
Long document coreference resolution remains a challenging task due to t...
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06/06/2020
A Cross-Task Analysis of Text Span Representations
Many natural language processing (NLP) tasks involve reasoning with text...
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05/06/2020
PeTra: A Sparsely Supervised Memory Model for People Tracking
We propose PeTra, a memory-augmented neural network designed to track en...
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02/21/2019
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Lingvo is a Tensorflow framework offering a complete solution for collab...
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07/27/2018
A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition
Attention-based recurrent neural encoder-decoder models present an elega...
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07/17/2018
Hierarchical Multitask Learning for CTC-based Speech Recognition
Previous work has shown that neural encoder-decoder speech recognition c...
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11/06/2017
Multilingual Speech Recognition With A Single End-To-End Model
Training a conventional automatic speech recognition (ASR) system to sup...
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04/24/2017
Joint Modeling of Text and Acoustic-Prosodic Cues for Neural Parsing
In conversational speech, the acoustic signal provides cues that help li...
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04/05/2017
Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition
End-to-end training of deep learning-based models allows for implicit le...
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10/20/2016
