NaLIR: an interactive natural language interface for querying relational databases

By Fei Li, Hosagrahar Visvesvaraya Jagadish. 2014

197 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems, Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Computer Networks and Communications

In Information Systems

In Natural Language Processing

Citations in the corpus

Break It Down: A Question Understanding Benchmark (2020, methodology): “…Collection Questions in BREAK were randomly sampled from ten QA datasets over the following tasks (Table 3): • Semantic Parsing: Mapping natural language utterances into formal queries, to be executed on a target KB (Price, 1990; Zelle and Mooney, 1996; Li and Jagadish, 2014; Yu et al., 2018).”
Summarizing Source Code using a Neural Attention Model (2016, methodology): “…n s(c, n) (1) RET We also use the scoring function s to retrieve the highest scoring code snippet c∗j from our training corpus, given a NL question n ∈ UN : c∗j = argmax cj s(cj , n), 1 ≤ j ≤ J (2) In this work, s is computed using an LSTM neural attention model, to be described in Section 5.”
Constrained Language Models Yield Few-Shot Semantic Parsers (2021, methodology): “The utterances u were questions sampled from multiple existing datasets for semantic parsing (Price, 1990; Zelle and Mooney, 1996; Li and Jagadish, 2014; Yu et al., 2018), reading comprehension (Talmor and Berant, 2018; Yang et al.”
DataTone: Managing Ambiguity in Natural Language Interfaces for Data Visualization (2015, background): “Since it is hard to scale this approach to other domains, researchers build NLIDBs that can learn semantic grammars from training examples.”
Photon: A Robust Cross-Domain Text-to-SQL System (2020, background): “Natural language interfaces to databases (Popescu et al., 2003; Li and Jagadish, 2014) democratize end user access to relational data and have attracted significant research attention for decades (Hemphill et al.”
ChartDialogs: Plotting from Natural Language Instructions (2020, background): “Natural language interfaces to structured languages such as SQL have been explored in Databases (DB) (Li and Jagadish, 2014), Programming Languages (PL) (Yaghmazadeh et al., 2017), and NLP (Zelle and Mooney, 1996).”