Partha Talukdar

Zero-shot Word Sense Disambiguation using Sense Definition Embeddings

2019

Word Sense Disambiguation (WSD) is a longstanding but open problem in Natural Language Processing (NLP). WSD corpora are typically small in size, owing to an expensive annotation process. Current supervised WSD methods treat senses as …

NHP: Neural Hypergraph Link Prediction

2020

Link prediction insimple graphs is a fundamental problem in which new links between vertices are predicted based on the observed structure of the graph. However, in many real-world applications, there is a need to model …

Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages

2022 · arXiv (Cornell University)

Pre-trained multilingual language models such as mBERT and XLM-R have demonstrated great potential for zero-shot cross-lingual transfer to low web-resource languages (LRL). However, due to limited model capacity, the large difference in the sizes of …

Salient Span Masking for Temporal Understanding

2023

Salient Span Masking (SSM) has shown itself to be an effective strategy to improve closed-book question answering performance. SSM extends general masked language model pretraining by creating additional unsupervised training sentences that mask a single …

SMOL: Professionally translated parallel data for 115 under-represented languages

2025 · arXiv (Cornell University)

We open-source SMOL (Set of Maximal Overall Leverage), a suite of training data to unlock machine translation for low-resource languages. SMOL has been translated into 124 (and growing) under-resourced languages (125 language pairs), including many …

RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

2018

Distantly-supervised Relation Extraction (RE) methods train an extractor by automatically aligning relation instances in a Knowledge Base (KB) with unstructured text. In addition to relation instances, KBs often contain other relevant side information, such as …