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08/10/2023
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning
We present a novel approach for structured data-to-text generation that ...
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06/28/2023
NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID Data
Federated learning (FL), a privacy-preserving distributed machine learni...
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05/30/2023
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge
The open-ended Visual Question Answering (VQA) task requires AI models t...
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05/27/2023
Benchmarking Diverse-Modal Entity Linking with Generative Models
Entities can be expressed in diverse formats, such as texts, images, or ...
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05/25/2023
UNITE: A Unified Benchmark for Text-to-SQL Evaluation
A practical text-to-SQL system should generalize well on a wide variety ...
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01/21/2023
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness
Neural text-to-SQL models have achieved remarkable performance in transl...
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12/17/2022
Importance of Synthesizing High-quality Data for Text-to-SQL Parsing
Recently, there has been increasing interest in synthesizing data to imp...
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12/03/2022
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework
As a novel distributed learning paradigm, federated learning (FL) faces ...
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11/09/2022
Nonlinear Set Membership Filter with State Estimation Constraints via Consensus-ADMM
This paper considers the state estimation problem for nonlinear dynamic ...
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09/30/2022
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
Question answering over knowledge bases (KBs) aims to answer natural lan...
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09/28/2022
Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding
Most recent research on Text-to-SQL semantic parsing relies on either pa...
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06/10/2022
REKnow: Enhanced Knowledge for Joint Entity and Relation Extraction
Relation extraction is an important but challenging task that aims to ex...
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03/29/2022
An Unbiased Symmetric Matrix Estimator for Topology Inference under Partial Observability
Network topology inference is a fundamental problem in many applications...
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11/27/2021
Towards Understanding the Impact of Model Size on Differential Private Classification
Differential privacy (DP) is an essential technique for privacy-preservi...
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10/29/2021
Federated Semi-Supervised Learning with Class Distribution Mismatch
Many existing federated learning (FL) algorithms are designed for superv...
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08/05/2021
Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering
The current state-of-the-art generative models for open-domain question ...
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06/17/2021
End-to-End Cross-Domain Text-to-SQL Semantic Parsing with Auxiliary Task
In this work, we focus on two crucial components in the cross-domain tex...
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05/10/2021
Improving Factual Consistency of Abstractive Summarization via Question Answering
A commonly observed problem with the state-of-the art abstractive summar...
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05/04/2021
Randomized Multiple Model Multiple Hypothesis Tracking
This paper considers the data association problem for multi-target track...
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02/18/2021
Entity-level Factual Consistency of Abstractive Text Summarization
A key challenge for abstractive summarization is ensuring factual consis...
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12/18/2020
Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
Most recently, there has been significant interest in learning contextua...
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11/26/2020
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
In open-domain question answering, questions are highly likely to be amb...
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11/10/2020
Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems
While many distributed optimization algorithms have been proposed for so...
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10/12/2020
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems
We propose an end-to-end approach for synthetic QA data generation. Our ...
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06/10/2020
Hybrid Tree-based Models for Insurance Claims
Two-part models and Tweedie generalized linear models (GLMs) have been u...
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06/07/2020
Optimally Combining Classifiers for Semi-Supervised Learning
This paper considers semi-supervised learning for tabular data. It is wi...
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05/24/2020
Master-Auxiliary: an efficient aggregation strategy for video anomaly detection
The aim of surveillance video anomaly detection is to detect events that...
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04/24/2020
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering
Question Answering (QA) is in increasing demand as the amount of informa...
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02/24/2020
Triplet Online Instance Matching Loss for Person Re-identification
Mining the shared features of same identity in different scene, and the ...
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11/25/2019
Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer
Conversation structure is useful for both understanding the nature of co...
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11/19/2019
A Boost Strategy to the Generative Error Based Video Anomaly Detection Algorithms
The generation error (GE) based algorithms show excellent performances i...
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11/17/2019
Multiple-Source Ellipsoidal Localization Using Acoustic Energy Measurements
In this paper, the multiple-source ellipsoidal localization problem base...
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10/17/2019
Universal Text Representation from BERT: An Empirical Study
We present a systematic investigation of layer-wise BERT activations for...
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08/22/2019
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering
BERT model has been successfully applied to open-domain QA tasks. Howeve...
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07/19/2019
Multi-Granular Text Encoding for Self-Explaining Categorization
Self-explaining text categorization requires a classifier to make a pred...
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05/28/2019
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network
Previous cross-lingual knowledge graph (KG) alignment studies rely on en...
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02/19/2019
Semantic Neural Machine Translation using AMR
It is intuitive that semantic representations can be useful for machine ...
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09/14/2018
SQL-to-Text Generation with Graph-to-Sequence Model
Previous work approaches the SQL-to-text generation task using vanilla S...
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09/06/2018
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks
Multi-hop reading comprehension focuses on one type of factoid question,...
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08/28/2018
N-ary Relation Extraction using Graph State LSTM
Cross-sentence n-ary relation extraction detects relations among n entit...
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08/23/2018
Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model
Existing neural semantic parsers mainly utilize a sequence encoder, i.e....
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05/07/2018
A Graph-to-Sequence Model for AMR-to-Text Generation
The problem of AMR-to-text generation is to recover a text representing ...
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04/03/2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Celebrated Sequence to Sequence learning (Seq2Seq) and its fruitful vari...
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03/01/2018
Knowledge Base Relation Detection via Multi-View Matching
Relation detection is a core component for Knowledge Base Question Answe...
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11/14/2017
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
A popular recent approach to answering open-domain questions is to first...
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09/04/2017
A Unified Query-based Generative Model for Question Generation and Question Answering
We propose a query-based generative model for solving both tasks of ques...
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08/31/2017
R^3: Reinforced Reader-Ranker for Open-Domain Question Answering
In recent years researchers have achieved considerable success applying ...
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08/25/2017
k-Nearest Neighbor Augmented Neural Networks for Text Classification
In recent years, many deep-learning based models are proposed for text c...
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02/13/2017
Bilateral Multi-Perspective Matching for Natural Language Sentences
Natural language sentence matching is a fundamental technology for a var...
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02/01/2017