Search Results for author: Daniel Deutch

Found 4 papers, 3 papers with code

Explaining Queries over Web Tables to Non-Experts

no code implementations • 14 Aug 2018 • Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo, Tomer Wolfson

Designing a reliable natural language (NL) interface for querying tables has been a longtime goal of researchers in both the data management and natural language processing (NLP) communities.

Management Translation

Paper
Add Code

Break It Down: A Question Understanding Benchmark

4 code implementations • TACL 2020 • Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch, Jonathan Berant

Understanding natural language questions entails the ability to break down a question into the requisite steps for computing its answer.

Open-Domain Question Answering Reading Comprehension +2

Paper
Code

Weakly Supervised Text-to-SQL Parsing through Question Decomposition

1 code implementation • Findings (NAACL) 2022 • Tomer Wolfson, Daniel Deutch, Jonathan Berant

Given questions, their QDMR structures (annotated by non-experts or automatically predicted), and the answers, we are able to automatically synthesize SQL queries that are used to train text-to-SQL models.

SQL Parsing Text-To-SQL

Paper
Code

Answering Questions by Meta-Reasoning over Multiple Chains of Thought

1 code implementation • 25 Apr 2023 • Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant

Modern systems for multi-hop question answering (QA) typically break questions into a sequence of reasoning steps, termed chain-of-thought (CoT), before arriving at a final answer.

Ranked #2 on Question Answering on Bamboogle

Multi-hop Question Answering Question Answering

Paper
Code

Cannot find the paper you are looking for? You can Submit a new open access paper.