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06/08/2023
Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization
Large language models (LLMs)have achieved great success in general domai...
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05/24/2023
Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator
The transformer model is known to be computationally demanding, and proh...
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04/10/2023
Asymmetric Polynomial Loss For Multi-Label Classification
Various tasks are reformulated as multi-label classification problems, i...
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02/24/2023
Few-Shot Table-to-Text Generation with Prompt-based Adapter
Pre-trained language models (PLMs) have made remarkable progress in tabl...
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02/19/2023
Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset
Real-world data usually exhibits a long-tailed distribution,with a few f...
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02/09/2023
Few-Shot Table-to-Text Generation with Prompt Planning and Knowledge Memorization
Pre-trained language models (PLM) have achieved remarkable advancement i...
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02/03/2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
Most graph neural networks follow the message passing mechanism. However...
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10/21/2022
Text Editing as Imitation Game
Text editing, such as grammatical error correction, arises naturally fro...
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10/21/2022
Syntax-guided Localized Self-attention by Constituency Syntactic Distance
Recent works have revealed that Transformers are implicitly learning the...
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09/22/2022
INFINITY: A Simple Yet Effective Unsupervised Framework for Graph-Text Mutual Conversion
Graph-to-text (G2T) generation and text-to-graph (T2G) triple extraction...
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05/15/2022
Transkimmer: Transformer Learns to Layer-wise Skim
Transformer architecture has become the de-facto model for many machine ...
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05/14/2022
RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL
Relational structures such as schema linking and schema encoding have be...
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02/24/2022
Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition
Training Transformer-based models demands a large amount of data, while ...
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12/16/2021
Block-Skim: Efficient Question Answering for Transformer
Transformer models have achieved promising results on natural language p...
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06/12/2021
Incorporating External POS Tagger for Punctuation Restoration
Punctuation restoration is an important post-processing step in automati...
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05/29/2021
Annotation Inconsistency and Entity Bias in MultiWOZ
MultiWOZ is one of the most popular multi-domain task-oriented dialog da...
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12/05/2020
Reciprocal Supervised Learning Improves Neural Machine Translation
Despite the recent success on image classification, self-training has on...
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05/12/2020
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach
It is commonly believed that knowledge of syntactic structure should imp...
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10/29/2019
Ordered Memory
Stack-augmented recurrent neural networks (RNNs) have been of interest t...
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08/28/2019
Interactive Language Learning by Question Answering
Humans observe and interact with the world to acquire knowledge. However...
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06/12/2018
Focused Hierarchical RNNs for Conditional Sequence Processing
Recurrent Neural Networks (RNNs) with attention mechanisms have obtained...
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06/11/2018
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
In this work, we propose a novel constituency parsing scheme. The model ...
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01/20/2018
A Deep Reinforcement Learning Chatbot (Short Version)
We present MILABOT: a deep reinforcement learning chatbot developed by t...
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11/02/2017
Neural Language Modeling by Jointly Learning Syntax and Lexicon
We propose a neural language model capable of unsupervised syntactic str...
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09/07/2017
A Deep Reinforcement Learning Chatbot
We present MILABOT: a deep reinforcement learning chatbot developed by t...
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03/09/2017
A Structured Self-attentive Sentence Embedding
This paper proposes a new model for extracting an interpretable sentence...
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08/24/2016
Recurrent Neural Networks With Limited Numerical Precision
Recurrent Neural Networks (RNNs) produce state-of-art performance on man...
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05/09/2016
Theano: A Python framework for fast computation of mathematical expressions
Theano is a Python library that allows to define, optimize, and evaluate...
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02/26/2016
Architectural Complexity Measures of Recurrent Neural Networks
In this paper, we systematically analyze the connecting architectures of...
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11/09/2015
Spectral-Spatial Classification of Hyperspectral Image Using Autoencoders
Hyperspectral image (HSI) classification is a hot topic in the remote se...
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11/09/2015
How far can we go without convolution: Improving fully-connected networks
We propose ways to improve the performance of fully connected networks. ...
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10/11/2015