Search Results for author: Subhro Roy

Found 17 papers, 5 papers with code

BenchCLAMP: A Benchmark for Evaluating Language Models on Semantic Parsing

1 code implementation21 Jun 2022 Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme

We introduce BenchCLAMP, a Benchmark to evaluate Constrained LAnguage Model Parsing, which produces semantic outputs based on the analysis of input text through constrained decoding of a prompted or fine-tuned language model.

Language Modelling Pretrained Language Models +2

Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation

no code implementations Findings (ACL) 2022 Kevin Yang, Olivia Deng, Charles Chen, Richard Shin, Subhro Roy, Benjamin Van Durme

We introduce a novel setup for low-resource task-oriented semantic parsing which incorporates several constraints that may arise in real-world scenarios: (1) lack of similar datasets/models from a related domain, (2) inability to sample useful logical forms directly from a grammar, and (3) privacy requirements for unlabeled natural utterances.

Data Augmentation Semantic Parsing

Value-Agnostic Conversational Semantic Parsing

no code implementations ACL 2021 Emmanouil Antonios Platanios, Adam Pauls, Subhro Roy, Yuchen Zhang, Alexander Kyte, Alan Guo, Sam Thomson, Jayant Krishnamurthy, Jason Wolfe, Jacob Andreas, Dan Klein

Conversational semantic parsers map user utterances to executable programs given dialogue histories composed of previous utterances, programs, and system responses.

Semantic Parsing

Leveraging Past References for Robust Language Grounding

no code implementations CONLL 2019 Subhro Roy, Michael Noseworthy, Rohan Paul, Daehyung Park, Nicholas Roy

We therefore reframe the grounding problem from the perspective of coreference detection and propose a neural network that detects when two expressions are referring to the same object.

Referring Expression Visual Grounding

Mapping to Declarative Knowledge for Word Problem Solving

1 code implementation TACL 2018 Subhro Roy, Dan Roth

Solving such problems requires the understanding of several mathematical concepts such as dimensional analysis, subset relationships, etc.


Unit Dependency Graph and its Application to Arithmetic Word Problem Solving

no code implementations3 Dec 2016 Subhro Roy, Dan Roth

Math word problems provide a natural abstraction to a range of natural language understanding problems that involve reasoning about quantities, such as interpreting election results, news about casualties, and the financial section of a newspaper.

Natural Language Understanding

Equation Parsing: Mapping Sentences to Grounded Equations

no code implementations28 Sep 2016 Subhro Roy, Shyam Upadhyay, Dan Roth

We introduce the problem of Equation Parsing -- given a sentence, identify noun phrases which represent variables, and generate the mathematical equation expressing the relation described in the sentence.

Solving General Arithmetic Word Problems

no code implementations EMNLP 2015 Subhro Roy, Dan Roth

This paper presents a novel approach to automatically solving arithmetic word problems.

General Classification

Reasoning about Quantities in Natural Language

no code implementations TACL 2015 Subhro Roy, Tim Vieira, Dan Roth

In order to address these quantitative reasoning problems we first develop a computational approach which we show to successfully recognize and normalize textual expressions of quantities.

Natural Language Inference Natural Language Processing +1

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