ServiceNow Research

Summarization

S-LLM: Semi-Supervised Large Language Model for Chat Summarization
As producing high-quality summaries of chat dialogues currently requires large labeled datasets, we propose a method to efficiently …
Montreal AI Symposium (MAIS),  2022.
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On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
We present a method to produce abstractive summaries of long documents that exceed several thousand words via neural abstractive …
Conference on Empirical Methods in Natural Language Processing (EMNLP),  2020.
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On the impressive performance of randomly weighted encoders in summarization tasks
On the impressive performance of randomly weighted encoders in summarization tasks
In this work, we investigate the performance of untrained randomly initialized encoders in a general class of sequence to sequence …
Annual Meeting of the Association for Computational Linguistics (ACL),  2019.
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