7 citations · 16 across the 9 of their papers we have counts for
9 papers
Enhancing Healthcare Search Intent Recognition with Query Representation Learning and Session Context
Chen Lin, Harshita Jagdish Sahijwani, Madhav Sigdel +4
Classifying the intent behind healthcare search queries is crucial for improving the delivery of online healthcare information. The intricate nature of medical search queries, coup…
Benchmark Dataset Generation and Evaluation for Excel Formula Repair with LLMs
Ananya Singha, Harshita Sahijwani, Walt Williams +10
Excel is a pervasive yet often complex tool, particularly for novice users, where runtime errors arising from logical mistakes or misinterpretations of functions pose a significant…
Contextual Response Interpretation for Automated Structured Interviews: A Case Study in Market Research
Harshita Sahijwani, Kaustubh Dhole, Ankur Purwar +2
Structured interviews are used in many settings, importantly in market research on topics such as brand perception, customer habits, or preferences, which are critical to product d…
Emora: An Inquisitive Social Chatbot Who Cares For You
Sarah E. Finch, James D. Finch, Ali Ahmadvand +9
Inspired by studies on the overwhelming presence of experience-sharing in human-human conversations, Emora, the social chatbot developed by Emory University, aims to bring such exp…
Would You Like to Hear the News? Investigating Voice-BasedSuggestions for Conversational News Recommendation
Harshita Sahijwani, Jason Ingyu Choi, Eugene Agichtein
One of the key benefits of voice-based personal assistants is the potential to proactively recommend relevant and interesting information. One of the most valuable sources of such…
Would you Like to Talk about Sports Now? Towards Contextual Topic Suggestion for Open-Domain Conversational Agents
Ali Ahmadvand, Harshita Sahijwani, Eugene Agichtein
To hold a true conversation, an intelligent agent should be able to occasionally take initiative and recommend the next natural conversation topic. This is a challenging task. A to…
ConCET: Entity-Aware Topic Classification for Open-Domain Conversational Agents
Ali Ahmadvand, Harshita Sahijwani, Jason Ingyu Choi +1
Identifying the topic (domain) of each user's utterance in open-domain conversational systems is a crucial step for all subsequent language understanding and response tasks. In par…
User Profile Based Research Paper Recommendation
Harshita Sahijwani, Sourish Dasgupta
We design a recommender system for research papers based on topic-modeling. The users feedback to the results is used to make the results more relevant the next time they fire a qu…
SimDoc: Topic Sequence Alignment based Document Similarity Framework
Gaurav Maheshwari, Priyansh Trivedi, Harshita Sahijwani +3
Document similarity is the problem of estimating the degree to which a given pair of documents has similar semantic content. An accurate document similarity measure can improve sev…