• Publications
  • Influence
Multimodal Distributional Semantics
TLDR
This work proposes a flexible architecture to integrate text- and image-based distributional information, and shows in a set of empirical tests that the integrated model is superior to the purely text-based approach, and it provides somewhat complementary semantic information with respect to the latter.
Distributional Semantics in Technicolor
TLDR
While visual models with state-of-the-art computer vision techniques perform worse than textual models in general tasks, they are as good or better models of the meaning of words with visual correlates such as color terms, even in a nontrivial task that involves nonliteral uses of such words.
Leveraging Learning To Rank in an Optimization Framework for Timeline Summarization
TLDR
This paper proposes an optimization framework and demonstrates the use of Learning To Rank (LTR) to automatically construct timeline summaries from Web news articles, showing that this approach outperforms existing solutions in producing high quality Timeline summaries.
Multihop Attention Networks for Question Answer Matching
TLDR
This paper proposes Multihop Attention Networks (MAN) which use multiple vectors which focus on different parts of the question for its overall semantic representation and apply multiple steps of attention to learn representations for the candidate answers.
How to Search the Internet Archive Without Indexing It
TLDR
This paper proposes an entity-oriented search system to support retrieval and analytics on the Internet Archive that complements existing web archive search tools through a user-friendly interface, and provides a great benefit of taking user feedback on the current web into account also forweb archive search.
Semantic Annotation for Microblog Topics Using Wikipedia Temporal Information
TLDR
This work proposes a novel model that complements traditional text-based approaches by rewarding entities that exhibit a high temporal correlation with topics during their burst time period by exploiting temporal information from the Wikipedia edit history and page view logs.
Back to the Past: Supporting Interpretations of Forgotten Stories by Time-aware Re-Contextualization
TLDR
Experimental results show that the proposed approaches retrieve contextualization information for older articles from the New York Times Archive with high precision and outperform baselines significantly.
Beyond Time: Dynamic Context-Aware Entity Recommendation
TLDR
This paper proposes a novel method of computing the contextual relatedness of entity relatedness with integrated time and topic models, and shows that the proposed relatedness can effectively recommend entities, taking contexts into account.
Classification and Learning-to-rank Approaches for Cross-Device Matching at CIKM Cup 2016
  • N. Tran
  • Computer Science
    ArXiv
  • 20 December 2016
TLDR
The results show that the proposed methods for tackling the problem of cross-device matching for online advertising at CIKM Cup 2016 obtain promising results, in which the ranking-based method outperforms the classification- based method for the task.
A Pipeline Tweet Contextualization System at INEX 2013
TLDR
A pipeline system and preliminary results for Tweet Contextualization at INEX 2013 are described and it is shown that the approach does not work well where the run was ranked 22nd out of 24 runs.
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