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CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering
Clinical question answering (QA) aims to automatically answer questions ...
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COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval
We present a large challenging dataset, COUGH, for COVID-19 FAQ retrieva...
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Structure-Grounded Pretraining for Text-to-SQL
Learning to capture text-table alignment is essential for table related ...
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Joint Power Allocation and User Association Optimization for IRS-Assisted mmWave Systems
Intelligent reflect surface (IRS) is a potential technology to build pro...
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Adversarial Training for Code Retrieval with Question-Description Relevance Regularization
Code retrieval is a key task aiming to match natural and programming lan...
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Learning a Cost-Effective Annotation Policy for Question Answering
State-of-the-art question answering (QA) relies upon large amounts of tr...
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Cascaded Channel Estimation for IRS-assisted Mmwave Multi-antenna with Quantized Beamforming
In this letter, we optimize the channel estimator of the cascaded channe...
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Joint Passive Beamforming and User Association Optimization for IRS-assisted mmWave Systems
In this paper, we investigate an intelligent reflect surface (IRS) assis...
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TURL: Table Understanding through Representation Learning
Relational tables on the Web store a vast amount of knowledge. Owing to ...
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Rationalizing Medical Relation Prediction from Corpus-level Statistics
Nowadays, the interpretability of machine learning models is becoming in...
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An Imitation Game for Learning Semantic Parsers from User Interaction
Despite the widely successful applications, bootstrapping and fine-tunin...
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Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset
Machine reading comprehension has made great progress in recent years ow...
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Practical Annotation Strategies for Question Answering Datasets
Annotating datasets for question answering (QA) tasks is very costly, as...
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Easy-to-Hard: Leveraging Simple Questions for Complex Question Generation
This paper makes one of the first efforts toward automatically generatin...
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An End-to-End Framework for Cold Question Routing in Community Question Answering Services
Routing newly posted questions (a.k.a cold questions) to potential answe...
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Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study
As a promising paradigm, interactive semantic parsing has shown to impro...
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Automatic Table completion using Knowledge Base
Table is a popular data format to organize and present relational inform...
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Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction
Distant supervision (DS) has been widely used to automatically construct...
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Reinforced Dynamic Reasoning for Conversational Question Generation
This paper investigates a new task named Conversational Question Generat...
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SurfCon: Synonym Discovery on Privacy-Aware Clinical Data
Unstructured clinical texts contain rich health-related information. To ...
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Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
Motivation: Graph embedding learning which aims to automatically learn l...
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CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning
To accelerate software development, much research has been performed to ...
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Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning
Given a text description, most existing semantic parsers synthesize a pr...
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StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow
Stack Overflow (SO) has been a great source of natural language question...
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Global Relation Embedding for Relation Extraction
Recent studies have shown that embedding textual relations using deep ne...
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