4 citations · 8 across the 8 of their papers we have counts for
10 papers
Hybrid Generative-Tagging Decoding for Efficient Product Attribute-Value Extraction
Keshav Kolluru, Manas Gupta, Maroof Ahmad +1
Attribute-value extraction is important for building high-quality product catalogs in e-commerce. Existing systems either rely on generative or tagging strategies for extracting th…
TAGMol: Target-Aware Gradient-guided Molecule Generation
Vineeth Dorna, D. Subhalingam, Keshav Kolluru +5
3D generative models have shown significant promise in structure-based drug design (SBDD), particularly in discovering ligands tailored to specific target binding sites. Existing a…
A Framework for Leveraging Partially-Labeled Data for Product Attribute-Value Identification
D. Subhalingam, Keshav Kolluru, Mausam +1
In the e-commerce domain, the accurate extraction of attribute-value pairs (e.g., Brand: Apple) from product titles and user search queries is crucial for enhancing search and reco…
mOKB6: A Multilingual Open Knowledge Base Completion Benchmark
Shubham Mittal, Keshav Kolluru, Soumen Chakrabarti +1
Automated completion of open knowledge bases (Open KBs), which are constructed from triples of the form (subject phrase, relation phrase, object phrase), obtained via open informat…
"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds
Keshav Kolluru, Gabriel Stanovsky, Mausam
Proper noun compounds, e.g., "Covid vaccine", convey information in a succinct manner (a "Covid vaccine" is a "vaccine that immunizes against the Covid disease"). These are commonl…
Multilingual Fact Linking
Keshav Kolluru, Martin Rezk, Pat Verga +2
Knowledge-intensive NLP tasks can benefit from linking natural language text with facts from a Knowledge Graph (KG). Although facts themselves are language-agnostic, the fact label…
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion
Keshav Kolluru, Mayank Singh Chauhan, Yatin Nandwani +2
Pre-trained language models (LMs) like BERT have shown to store factual knowledge about the world. This knowledge can be used to augment the information present in Knowledge Bases,…
OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction
Keshav Kolluru, Vaibhav Adlakha, Samarth Aggarwal +2
A recent state-of-the-art neural open information extraction (OpenIE) system generates extractions iteratively, requiring repeated encoding of partial outputs. This comes at a sign…
IMoJIE: Iterative Memory-Based Joint Open Information Extraction
Keshav Kolluru, Samarth Aggarwal, Vipul Rathore +2
While traditional systems for Open Information Extraction were statistical and rule-based, recently neural models have been introduced for the task. Our work builds upon CopyAttent…
Why and when should you pool? Analyzing Pooling in Recurrent Architectures
Pratyush Maini, Keshav Kolluru, Danish Pruthi +1
Pooling-based recurrent neural architectures consistently outperform their counterparts without pooling. However, the reasons for their enhanced performance are largely unexamined.…