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    Event Information

    Event Information

    Event Information

    Last updated 2840 days ago by George Giannakopoulos (Admin)

    Categories: events

    Invited Talk

    Bio:
    Enrique Alfonseca is a Staff Research Scientist at Google Research Europe, where
    he manages a team working on language understanding. Over the past ten years, he 
    has worked at Google in ads quality, search quality and natural language processing,
    with a current focus on conversational search.
     
    Abstract: In this talk, I will discuss some of the challenges that conversational search 
    faces in providing information to users. Some of them stem from the fact that many
    questions are answered with snippets from the web, which may not be the most
    appropriate to be inserted inside conversations. Secondly, I will describe in more 
    detail the sentence compression and summarization approaches that are running 
    in production in Google Home for improving the user experience around question
    answering.
     
    Accepted papers and Proposed Schedule
    April 3rd, 2017
    09:30 - 11:00    Opening and Invited talk
    		     
    09:30 - 09:45    MultiLing 2017 Welcome
    George Giannakopoulos
    		     
    09:45 - 11:00    Invited talk: Sentence Compression for Conversational Search
    Enrique Alfonseca, Google
    		     
    11:00 - 11:30    Coffee break
    		     
    11:30 - 13:00    MultiLing Tasks and Systems I
    Chair: John Conroy, IDA
    Co-Chair: Elena Lloret, Univ. of Alicante
    		     
    11:30 - 11:50    MultiLing 2017 Overview
    George Giannakopoulos1, John Conroy2, Jeff Kubina3, Peter A. Rankel4, Elena Lloret5, Josef Steinberger6, Marina Litvak7, Benoit Favre8
    1NCSR Demokritos & SciFY NPC, 2IDA Center for Computing Sciences, 3U.S. Department of Defense, 4University of Maryland, 5University of Alicante, 6University of West Bohemia, 7Shamoon College of Engineering, 8Aix-Marseille University LIF/CNRS
    		     
    11:50 - 12:10    Decoupling Encoder and Decoder Networks for Abstractive Document Summarization
    Ying Xu1, Jey Han Lau2, Timothy Baldwin3, Trevor Cohn4
    1Monash University, IBM Research, 2IBM Research, 3The University of Melbourne, 4University of Melbourne
    		     
    12:10 - 12:30    Centroid-based Text Summarization through Compositionality of Word Embeddings
    Gaetano Rossiello1, Pierpaolo Basile2, Giovanni Semeraro1
    1University of Bari "Aldo Moro", 2Department of Computer Science, University of Bari Aldo Moro
    		     
    12:30 - 12:50    Query-based summarization using MDL principle
    Marina Litvak and Natalia Vanetik
    Shamoon College of Engineering
    		     
    14:30 - 16:00    MultiLing Tasks and Systems II
    Chair: Marina Litvak, Shamoon College of Engineering
    Co-Chair: Josef Steinberger, Univ. of West Bohemia
    		     
    14:30 - 14:50    Multilingual Single Document Summarization Overview
    John Conroy
    		     
    14:50 - 15:10    Word Embedding and Topic Modeling Enhanced Multiple Features for Content Linking and Argument / Sentiment Labeling in Online Forums
    Lei Li, Liyuan Mao, Moye Chen
    Beijing University of Posts and Telecommunications
    		     
    15:10 - 15:30    Ultra-Concise Multi-genre Summarisation of Web2.0: towards Intelligent Content Generation
    Elena Lloret1, Ester Boldrini2, Patricio Martinez-Barco3, Manuel Palomar1
    1University of Alicante, 2University of Alicante, GPLSI Research Group, 3Universidad de Alicante
    		     
    15:30 - 15:50    Machine Learning Approach to Evaluate MultiLingual Summaries
    Samira Ellouze1, Maher Jaoua2, Lamia Hadrich Belguith2
    1ANLP Group, MIRACL Laboratory, University of Sfax, Tunisia, 2ANLP Group, MIRACL Laboratory, University of Sfax
    		     
    16:00 - 16:30    Coffee break and poster setup
    		     
    16:30 - 18:00    Poster session and Closing
    		     
    16:30 - 17:30    Poster session
    		     
    17:30 - 18:00    Closing remarks and planning
    		     

     

    George Giannakopoulos (Admin)

    George Giannakopoulos (Admin)

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