Sparc: Cross-domain semantic parsing in context
We present SParC, a dataset for cross-domainSemanticParsing inContext that consists of
4,298 coherent question sequences (12k+ individual questions annotated with SQL …
4,298 coherent question sequences (12k+ individual questions annotated with SQL …
[图书][B] Reinforcement learning for adaptive dialogue systems: a data-driven methodology for dialogue management and natural language generation
The past decade has seen a revolution in the field of spoken dialogue systems. As in other
areas of Computer Science and Artificial Intelligence, data-driven methods are now being …
areas of Computer Science and Artificial Intelligence, data-driven methods are now being …
Designing an interactive open-domain question answering system
S Quarteroni, S Manandhar - Natural Language Engineering, 2009 - cambridge.org
Interactive question answering (QA), where a dialogue interface enables follow-up and
clarification questions, is a recent although long-advocated field of research. We report on …
clarification questions, is a recent although long-advocated field of research. We report on …
Photon: A robust cross-domain text-to-SQL system
Natural language interfaces to databases (NLIDB) democratize end user access to relational
data. Due to fundamental differences between natural language communication and …
data. Due to fundamental differences between natural language communication and …
Towards ecologically valid research on language user interfaces
Language User Interfaces (LUIs) could improve human-machine interaction for a wide
variety of tasks, such as playing music, getting insights from databases, or instructing …
variety of tasks, such as playing music, getting insights from databases, or instructing …
Casa-nlu: Context-aware self-attentive natural language understanding for task-oriented chatbots
Natural Language Understanding (NLU) is a core component of dialog systems. It typically
involves two tasks-intent classification (IC) and slot labeling (SL), which are then followed by …
involves two tasks-intent classification (IC) and slot labeling (SL), which are then followed by …
Augmenting multi-turn text-to-SQL datasets with self-play
The task of context-dependent text-to-SQL aims to convert multi-turn user utterances to
formal SQL queries. This is a challenging task due to both the scarcity of training data from …
formal SQL queries. This is a challenging task due to both the scarcity of training data from …
How far are we from effective context modeling? an exploratory study on semantic parsing in context
Recently semantic parsing in context has received considerable attention, which is
challenging since there are complex contextual phenomena. Previous works verified their …
challenging since there are complex contextual phenomena. Previous works verified their …
On the vulnerabilities of text-to-sql models
Although it has been demonstrated that Natural Language Processing (NLP) algorithms are
vulnerable to deliberate attacks, the question of whether such weaknesses can lead to …
vulnerable to deliberate attacks, the question of whether such weaknesses can lead to …
A wizard of oz study simulating api usage dialogues with a virtual assistant
Virtual Assistant technology is rapidly proliferating to improve productivity in a variety of
tasks. While several virtual assistants for everyday tasks are well-known (eg, Siri, Cortana …
tasks. While several virtual assistants for everyday tasks are well-known (eg, Siri, Cortana …