5 citations · 6 across the 7 of their papers we have counts for
4 papers · 1 filter
Learning Representations for Zero-Shot Retrieval over Structured Data
Harsh Kohli
Large Scale Question-Answering systems today are widely used in downstream applications such as chatbots and conversational dialogue agents. Typically, such systems consist of an A…
Training Mixed-Objective Pointing Decoders for Block-Level Optimization in Search Recommendation
Harsh Kohli
Related or ideal follow-up suggestions to a web query in search engines are often optimized based on several different parameters -- relevance to the original query, diversity, cli…
Training Bi-Encoders for Word Sense Disambiguation
Harsh Kohli
Modern transformer-based neural architectures yield impressive results in nearly every NLP task and Word Sense Disambiguation, the problem of discerning the correct sense of a word…
Transfer Learning and Augmentation for Word Sense Disambiguation
Harsh Kohli
Many downstream NLP tasks have shown significant improvement through continual pre-training, transfer learning and multi-task learning. State-of-the-art approaches in Word Sense Di…