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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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05/25/2023
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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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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10/16/2021
Virtual Augmentation Supported Contrastive Learning of Sentence Representations
Despite profound successes, contrastive representation learning relies o...
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10/16/2021
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
Pretrained language models (PTLMs) are typically learned over a large, s...
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09/12/2021
Pairwise Supervised Contrastive Learning of Sentence Representations
Many recent successes in sentence representation learning have been achi...
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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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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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03/24/2021
Supporting Clustering with Contrastive Learning
Unsupervised clustering aims at discovering the semantic categories of d...
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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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01/20/2021
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering
Dialog State Tracking (DST), an integral part of modern dialog systems, ...
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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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10/05/2020
An Ensemble Approach to Automatic Structuring of Radiology Reports
Automatic structuring of electronic medical records is of high demand fo...
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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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10/24/2018
Clinical Concept Extraction with Contextual Word Embedding
Automatic extraction of clinical concepts is an essential step for turni...
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05/31/2017
Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget
Deep neural network (DNN) based approaches hold significant potential fo...
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01/21/2017