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Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
Human intelligence exhibits compositional generalization (i.e., the capa...
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"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL
In Natural Language Interfaces to Databases systems, the text-to-SQL tec...
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Incomplete Utterance Rewriting as Semantic Segmentation
Recent years the task of incomplete utterance rewriting has raised a lar...
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Discovering Traveling Companions using Autoencoders
With the wide adoption of mobile devices, today's location tracking syst...
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Compositional Generalization by Learning Analytical Expressions
Compositional generalization is a basic but essential intellective capab...
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You Impress Me: Dialogue Generation via Mutual Persona Perception
Despite the continuing efforts to improve the engagingness and consisten...
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How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context
Recently semantic parsing in context has received a considerable attenti...
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A Split-and-Recombine Approach for Follow-up Query Analysis
Context-dependent semantic parsing has proven to be an important yet cha...
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Statistical and machine learning ensemble modelling to forecast sea surface temperature
In situ and remotely sensed observations have huge potential to develop ...
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Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements
Combining data content with visual embellishments, infographics can effe...
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LambdaOpt: Learn to Regularize Recommender Models in Finer Levels
Recommendation models mainly deal with categorical variables, such as us...
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FANDA: A Novel Approach to Perform Follow-up Query Analysis
Recent work on Natural Language Interfaces to Databases (NLIDB) has attr...
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Castor: Contextual IoT Time Series Data and Model Management at Scale
We demonstrate Castor, a cloud-based system for contextual IoT time seri...
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Learning-to-Ask: Knowledge Acquisition via 20 Questions
Almost all the knowledge empowered applications rely upon accurate knowl...
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One button machine for automating feature engineering in relational databases
Feature engineering is one of the most important and time consuming task...
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Max-Margin Nonparametric Latent Feature Models for Link Prediction
Link prediction is a fundamental task in statistical network analysis. R...
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Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation
We present a discriminative nonparametric latent feature relational mode...
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Jointly Modeling Topics and Intents with Global Order Structure
Modeling document structure is of great importance for discourse analysi...
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(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories
Real-time estimation of destination and travel time for taxis is of grea...
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