2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2022★ 1 cited
Structured Summarization: Unified Text Segmentation and Segment Labeling as a Generation Task
Hakan Inan, Rashi Rungta, Yashar Mehdad
Text segmentation aims to divide text into contiguous, semantically coherent segments, while segment labeling deals with producing labels for each segment. Past work has shown succ…
cs.CL2021★ 2 cited
Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering
Stan Peshterliev, Barlas Oguz, Debojeet Chatterjee +2
Question answering (QA) is an important use case on voice assistants. A popular approach to QA is extractive reading comprehension (RC) which finds an answer span in a text passage…
cs.CL2020
Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data
Ankit Arun, Soumya Batra, Vikas Bhardwaj +9
Natural language generation (NLG) is a critical component in conversational systems, owing to its role of formulating a correct and natural text response. Traditionally, NLG compon…