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A spectrophotometric assay for allicin, alliin, and alliinase (alliin lyase) with a chromogenic thiol: reaction of 4-mercaptopyridine with thiosulfinates.
TLDR
The 4-MP assay is an easy, sensitive, fast, noncostly, and highly efficient throughput assay of allicin, alli in, and alliinase in garlic preparations, using 4-mercaptopyridine, a commercially available chromogenic thiol.
Unsupervised Query-Focused Multi-Document Summarization using the Cross Entropy Method
TLDR
A novel unsupervised query-focused multi-document summarization approach that generates a summary by extracting a subset of sentences using the Cross-Entropy (CE) Method is presented.
Unsupervised Dual-Cascade Learning with Pseudo-Feedback Distillation for Query-Focused Extractive Summarization
TLDR
Dual-CES builds on top of the Cross Entropy Summarizer and is designed to better handle the tradeoff between saliency and focus in summarization, employing a two-step dual-cascade optimization approach with saliency-based pseudo-feedback distillation.
Understanding customer behavior using indoor location analysis and visualization
TLDR
This paper presents a solution approach for better understanding customer behavior based on mobile indoor location data as well as the technologies developed by IBM Research for realizing this solution and illustrates the use of the approach for smarter commerce in a real-world use case.
Classifying Emotions in Customer Support Dialogues in Social Media
TLDR
It is shown that, in addition to text based turn features, dialogue features can significantly improve detection of emotions in social media customer service dialogues and help predict emotional techniques used by customer service agents.
Exponential time improvement for min-wise based algorithms
TLDR
This paper defines and gives an efficient time and space construction of approximately k-min-wise independent family of hash functions by extending Indyk's construction of Approximately min-wiseindependent.
Predicting Customer Satisfaction in Customer Support Conversations in Social Media Using Affective Features
TLDR
It is shown that affective features such as customer's and agent's personality traits and emotion expression improve prediction of customer satisfaction when added to more typical text based features.
Overview of the First Workshop on Scholarly Document Processing (SDP)
TLDR
The 1st Workshop on Scholarly Document Processing at EMNLP 2020 as a virtual event, aimed at reaching to the broader NLP and AI/ML community, pool distributed efforts and enable shared access to published research.
Overview and Insights from the Shared Tasks at Scholarly Document Processing 2020: CL-SciSumm, LaySumm and LongSumm
TLDR
The quality and quantity of the submissions show that there is ample interest in scholarly document summarization, and the state of the art in this domain is at a midway point between being an impossible task and one that is fully resolved.
A Summarization System for Scientific Documents
TLDR
A system that retrieves and summarizes scientific documents for a given information need, either in form of a free-text query or by choosing categorized values such as scientific tasks, datasets and more is presented.
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