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09/19/2023
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation
Online recommender systems (RS) aim to match user needs with the vast am...
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05/06/2023
Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval
Effective cross-lingual dense retrieval methods that rely on multilingua...
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04/17/2023
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval
Current dense retrievers (DRs) are limited in their ability to effective...
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03/29/2023
TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs
Artificial Intelligence (AI) has made incredible progress recently. On t...
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03/27/2023
Large Language Models are Diverse Role-Players for Summarization Evaluation
Text summarization has a wide range of applications in many scenarios. T...
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03/27/2023
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval
In monolingual dense retrieval, lots of works focus on how to distill kn...
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03/27/2023
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval
Recent multilingual pre-trained models have shown better performance in ...
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06/21/2022
Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation
The Differentiable Search Index (DSI) is a new, emerging paradigm for in...
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06/07/2022
Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval
Recent research demonstrates the effectiveness of using pretrained langu...
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06/01/2022
Negative Sampling for Contrastive Representation Learning: A Review
The learn-to-compare paradigm of contrastive representation learning (CR...
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05/07/2022
Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding
Although spoken language understanding (SLU) has achieved great success ...
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04/02/2022
Transformer-Empowered Content-Aware Collaborative Filtering
Knowledge graph (KG) based Collaborative Filtering is an effective appro...
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09/03/2021
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding
Lack of training data presents a grand challenge to scaling out spoken l...
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07/25/2021
A Joint and Domain-Adaptive Approach to Spoken Language Understanding
Spoken Language Understanding (SLU) is composed of two subtasks: intent ...
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06/01/2021
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition
Named entity recognition (NER) is a fundamental component in many applic...
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04/05/2021
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach
Producing the embedding of a sentence in an unsupervised way is valuable...
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02/22/2021
Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model
Modern Automatic Speech Recognition (ASR) systems can achieve high perfo...
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02/12/2021
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders
Recently, universal neural machine translation (NMT) with shared encoder...
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12/28/2020
Syntax-Enhanced Pre-trained Model
We study the problem of leveraging the syntactic structure of text to en...
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12/11/2020
Reinforced Multi-Teacher Selection for Knowledge Distillation
In natural language processing (NLP) tasks, slow inference speed and hug...
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11/11/2020
CalibreNet: Calibration Networks for Multilingual Sequence Labeling
Lack of training data in low-resource languages presents huge challenges...
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10/27/2020
Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation
Cross-lingual Machine Reading Comprehension (CLMRC) remains a challengin...
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10/15/2020
Learning Better Representation for Tables by Self-Supervised Tasks
Table-to-text generation aims at automatically generating natural text t...
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10/14/2020
A Graph Representation of Semi-structured Data for Web Question Answering
The abundant semi-structured data on the Web, such as HTML-based tables ...
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09/29/2020
MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension
Span extraction is an essential problem in machine reading comprehension...
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09/25/2020
No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension
The Natural Questions (NQ) benchmark set brings new challenges to Machin...
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09/16/2020
Tag and Correct: Question aware Open Information Extraction with Two-stage Decoding
Question Aware Open Information Extraction (Question aware Open IE) take...
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06/13/2020
Mining Implicit Relevance Feedback from User Behavior for Web Question Answering
Training and refreshing a web-scale Question Answering (QA) system for a...
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06/13/2020
Mining Implicit Relevance Feedback from User Behavior forWeb Question Answering
Training and refreshing a web-scale Question Answering (QA) system for a...
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04/29/2020
Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension
Multilingual pre-trained models could leverage the training data from a ...
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04/28/2020
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
Verifying the correctness of a textual statement requires not only seman...
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04/12/2020
Pre-training Text Representations as Meta Learning
Pre-training text representations has recently been shown to significant...
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04/09/2020
Improving Readability for Automatic Speech Recognition Transcription
Modern Automatic Speech Recognition (ASR) systems can achieve high perfo...
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04/07/2020
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning
We study the problem of generating inferential texts of events for a var...
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04/03/2020
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
In this paper, we introduce XGLUE, a new benchmark dataset to train larg...
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02/19/2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
We present CodeBERT, a bimodal pre-trained model for programming languag...
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10/18/2019
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System
Deep pre-training and fine-tuning models (such as BERT and OpenAI GPT) h...
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09/09/2019
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
Commonsense question answering aims to answer questions which require ba...
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09/03/2019
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks
We present Unicoder, a universal language encoder that is insensitive to...
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04/21/2019
Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System
Deep pre-training and fine-tuning models (like BERT, OpenAI GPT) have de...
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04/21/2019
