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Found 19 papers, 1 papers with code
Addressing Limitations of Encoder-Decoder Based Approach to Text-to-SQL
Most attempts on Text-to-SQL task using encoder-decoder approach show a big problem of dramatic decline in performance for new databases.
Domain Adaptation of a State of the Art Text-to-SQL Model: Lessons Learned and Challenges Found
There are many recent advanced developments for the Text-to-SQL task, where the Picard model is one of the the top performing models as measured by the Spider dataset competition.
Recognizing and Splitting Conditional Sentences for Automation of Business Processes Management
Business Process Management (BPM) is the discipline which is responsible for management of discovering, analyzing, redesigning, monitoring, and controlling business processes.
Identifying Motion Entities in Natural Language and A Case Study for Named Entity Recognition
Motion recognition is one of the basic cognitive capabilities of many life forms, however, detecting and understanding motion in text is not a trivial task.
LiMiT: The Literal Motion in Text Dataset
Motion recognition is one of the basic cognitive capabilities of many life forms, yet identifying motion of physical entities in natural language have not been explored extensively and empirically.
DISCO: A System Leveraging Semantic Search in Document Review
This paper presents Disco, a prototype for supporting knowledge workers in exploring, reviewing and sorting collections of textual data.
Corpora for Learning the Mutual Relationship between Semantic Relatedness and Textual Entailment
In this paper we present the creation of a corpora annotated with both semantic relatedness (SR) scores and textual entailment (TE) judgments.
