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09/10/2023
Personalized Search Via Neural Contextual Semantic Relevance Ranking
Existing neural relevance models do not give enough consideration for qu...
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02/13/2023
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark
We introduce STREET, a unified multi-task and multi-domain natural langu...
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12/19/2022
Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks
Generative models have been widely applied to solve extractive tasks, wh...
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12/17/2022
Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations
There has been great progress in unifying various table-to-text tasks us...
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10/12/2022
Language Agnostic Multilingual Information Retrieval with Contrastive Learning
Multilingual information retrieval is challenging due to the lack of tra...
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05/18/2022
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner
Large language models have achieved high performance on various question...
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10/20/2021
Contrastive Document Representation Learning with Graph Attention Networks
Recent progress in pretrained Transformer-based language models has show...
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10/12/2021
Attention-guided Generative Models for Extractive Question Answering
We propose a novel method for applying Transformer models to extractive ...
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09/27/2021
Multiplicative Position-aware Transformer Models for Language Understanding
Transformer models, which leverage architectural improvements like self-...
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10/06/2020
Beyond [CLS] through Ranking by Generation
Generative models for Information Retrieval, where ranking of documents ...
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09/28/2020
Improve Transformer Models with Better Relative Position Embeddings
Transformer architectures rely on explicit position encodings in order t...
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09/22/2020
Embedding-based Zero-shot Retrieval through Query Generation
Passage retrieval addresses the problem of locating relevant passages, u...
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03/16/2020
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding
Bidirectional Encoder Representations from Transformers (BERT) has recen...
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04/08/2019
WeNet: Weighted Networks for Recurrent Network Architecture Search
In recent years, there has been increasing demand for automatic architec...
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01/22/2019
Self-Attention Networks for Connectionist Temporal Classification in Speech Recognition
Self-attention has demonstrated great success in sequence-to-sequence ta...
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07/17/2018
Learning Noise-Invariant Representations for Robust Speech Recognition
Despite rapid advances in speech recognition, current models remain brit...
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02/24/2017
Residual Convolutional CTC Networks for Automatic Speech Recognition
Deep learning approaches have been widely used in Automatic Speech Recog...
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04/15/2016
CNN-RNN: A Unified Framework for Multi-label Image Classification
While deep convolutional neural networks (CNNs) have shown a great succe...
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08/09/2015
Bidirectional LSTM-CRF Models for Sequence Tagging
In this paper, we propose a variety of Long Short-Term Memory (LSTM) bas...
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04/25/2015
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images
In this paper, we address the task of learning novel visual concepts, an...
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12/20/2014
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
In this paper, we present a multimodal Recurrent Neural Network (m-RNN) ...
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09/01/2014