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Iterative Utterance Segmentation for Neural Semantic Parsing
Neural semantic parsers usually fail to parse long and complex utterance...
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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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Hierarchical Poset Decoding for Compositional Generalization in Language
We formalize human language understanding as a structured prediction tas...
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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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Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
Infographic is a data visualization technique which combines graphic and...
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UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
Prior works in cross-lingual named entity recognition (NER) with no/litt...
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Compositional Generalization by Learning Analytical Expressions
Compositional generalization is a basic but essential intellective capab...
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Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
To better tackle the named entity recognition (NER) problem on languages...
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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 Hybrid Semantic Parsing Approach for Tabular Data Analysis
This paper presents a novel approach to translating natural language que...
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AnnaParser: Semantic Parsing for Tabular Data Analysis
This paper presents a novel approach to translating natural language que...
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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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LambdaOpt: Learn to Regularize Recommender Models in Finer Levels
Recommendation models mainly deal with categorical variables, such as us...
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Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
We present a neural approach called IRNet for complex and cross-domain T...
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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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Learning-to-Ask: Knowledge Acquisition via 20 Questions
Almost all the knowledge empowered applications rely upon accurate knowl...
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