activity
20182022
most citedImproved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation

4 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2022

PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation

Ishan Jindal, Alexandre Rademaker, Khoi-Nguyen Tran +4

Semantic role labeling (SRL) identifies the predicate-argument structure in a sentence. This task is usually accomplished in four steps: predicate identification, predicate sense d…

cs.CL2020★ 4 cited

Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation

Ishan Jindal, Ranit Aharonov, Siddhartha Brahma +2

Deep neural models achieve some of the best results for semantic role labeling. Inspired by instance-based learning that utilizes nearest neighbors to handle low-frequency context-…

cs.CL2020

CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling

Ishan Jindal, Yunyao Li, Siddhartha Brahma +1

Semantic role labeling (SRL) identifies predicate-argument structure(s) in a given sentence. Although different languages have different argument annotations, polyglot training, th…

cs.CL2020

Small but Mighty: New Benchmarks for Split and Rephrase

Li Zhang, Huaiyu Zhu, Siddhartha Brahma +1

Split and Rephrase is a text simplification task of rewriting a complex sentence into simpler ones. As a relatively new task, it is paramount to ensure the soundness of its evaluat…

cs.DC2018

Giving Text Analytics a Boost

Raphael Polig, Kubilay Atasu, Laura Chiticariu +5

The amount of textual data has reached a new scale and continues to grow at an unprecedented rate. IBM's SystemT software is a powerful text analytics system, which offers a query-…