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In this paper we propose and investigate a novel end-to-end method for automatically generating short email responses, called Smart Reply. It generates semantically diverse suggestions that can be used as complete email responses with just…

To-do lists are a popular medium for personal information management. As to-do tasks are increasingly tracked in electronic form with mobile and desktop organizers, so does the potential for software support for the corresponding tasks by…

Computation and Language · Computer Science 2018-06-22 Paul Landes , Barbara Di Eugenio

Given the overwhelming number of emails, an effective subject line becomes essential to better inform the recipient of the email's content. In this paper, we propose and study the task of email subject line generation: automatically…

Computation and Language · Computer Science 2019-06-11 Rui Zhang , Joel Tetreault

In this paper, a workflow for designing a bot using Robotic Process Automation (RPA), associated with Artificial Intelligence (AI) that is used for information extraction, classification, etc., is proposed. The bot is equipped with many…

Machine Learning · Computer Science 2022-05-13 Arpit Khare , Sudhakar Singh , Richa Mishra , Shiv Prakash , Pratibha Dixit

Intelligent recommendation and reminder systems are the need of the fast-pacing life. Current intelligent systems such as Siri, Google Assistant, Microsoft Cortona, etc., have limited capability. For example, if you want to wake up at 6 am…

Information Retrieval · Computer Science 2021-08-16 Rohan Saxena , Maheep Chaudhary , Chandresh Kumar Maurya , Shitala Prasad

In this paper, we present Smart Compose, a novel system for generating interactive, real-time suggestions in Gmail that assists users in writing mails by reducing repetitive typing. In the design and deployment of such a large-scale and…

Computation and Language · Computer Science 2019-06-04 Mia Xu Chen , Benjamin N Lee , Gagan Bansal , Yuan Cao , Shuyuan Zhang , Justin Lu , Jackie Tsay , Yinan Wang , Andrew M. Dai , Zhifeng Chen , Timothy Sohn , Yonghui Wu

We propose an approach for helping agents compose email replies to customer requests. To enable that, we use LDA to extract latent topics from a collection of email exchanges. We then use these latent topics to label our data, obtaining a…

Computation and Language · Computer Science 2015-10-08 Spandana Gella , Marc Dymetman , Jean Michel Renders , Sriram Venkatapathy

UI task automation enables efficient task execution by simulating human interactions with graphical user interfaces (GUIs), without modifying the existing application code. However, its broader adoption is constrained by the need for…

Human-Computer Interaction · Computer Science 2025-03-19 Tian Huang , Chun Yu , Weinan Shi , Zijian Peng , David Yang , Weiqi Sun , Yuanchun Shi

Recent advances in data-to-text generation have led to the use of large-scale datasets and neural network models which are trained end-to-end, without explicitly modeling what to say and in what order. In this work, we present a neural…

Computation and Language · Computer Science 2019-04-15 Ratish Puduppully , Li Dong , Mirella Lapata

A major component for developing intelligent and autonomous robots is a suitable knowledge representation, from which a robot can acquire knowledge about its actions or world. However, unlike humans, robots cannot creatively adapt to novel…

Robotics · Computer Science 2021-12-07 Md. Sadman Sakib , David Paulius , Yu Sun

Recommendation emails are among the best ways to re-engage with customers after they have left a website. While on-site recommendation systems focus on finding the most relevant items for a user at the moment (right item), email…

Artificial Intelligence · Computer Science 2016-09-21 Mohammed Korayem , Khalifeh Aljadda , Trey Grainger

Email classification is still a mostly manual task. Consequently, most Web mail users never define a single folder. Recently however, automatic classification offering the same categories to all users has started to appear in some Web mail…

Artificial Intelligence · Computer Science 2016-07-01 Mihajlo Grbovic , Guy Halawi , Zohar Karnin , Yoelle Maarek

Table-to-text generation aims at automatically generating natural text to help people to conveniently obtain the important information in tables. Although neural models for table-to-text have achieved remarkable progress, some problems…

Computation and Language · Computer Science 2021-03-31 Liang Li , Can Ma , Yinliang Yue , Linjun Shou , Dayong Hu

Data-to-text systems are powerful in generating reports from data automatically and thus they simplify the presentation of complex data. Rather than presenting data using visualisation techniques, data-to-text systems use natural (human)…

Computation and Language · Computer Science 2016-10-27 Dimitra Gkatzia

The Internet has dramatically changed the relationship among people and their relationships with others people and made the valuable information available for the users. Email is the service, which the Internet provides today for its own…

Information Retrieval · Computer Science 2013-10-24 Foruzan Kiamarzpour , Rouhollah Dianat , Mohammad bahrani , Mehdi Sadeghzadeh

Recent approaches to data-to-text generation have adopted the very successful encoder-decoder architecture or variants thereof. These models generate text which is fluent (but often imprecise) and perform quite poorly at selecting…

Computation and Language · Computer Science 2021-02-05 Ratish Puduppully , Mirella Lapata

Email continues to serve as a central medium for managing collaborations. While unstructured email messaging is lightweight and conducive to coordination, it is easy to overlook commitments and requests for collaborations that are embedded…

Human-Computer Interaction · Computer Science 2024-03-05 Katelyn Morrison , Shamsi Iqbal , Eric Horvitz

Email responses often contain items-such as a file or a hyperlink to an external document-that are attached to or included inline in the body of the message. Analysis of an enterprise email corpus reveals that 35% of the time when users…

Information Retrieval · Computer Science 2017-11-17 Christophe Van Gysel , Bhaskar Mitra , Matteo Venanzi , Roy Rosemarin , Grzegorz Kukla , Piotr Grudzien , Nicola Cancedda

Automatic evaluation of generative tasks using large language models faces challenges due to ambiguous criteria. Although automatic checklist generation is a potentially promising approach, its usefulness remains underexplored. We…

Computation and Language · Computer Science 2025-08-22 Momoka Furuhashi , Kouta Nakayama , Takashi Kodama , Saku Sugawara

Electronic exams (e-exams) have the potential to substantially reduce the effort required for conducting an exam through automation. Yet, care must be taken to sacrifice neither task complexity nor constructive alignment nor grading…

Computers and Society · Computer Science 2023-08-17 Ole Lübke , Konrad Fuger , Fin Hendrik Bahnsen , Katrin Billerbeck , Sibylle Schupp
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