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21
CDA: a Cost Efficient Content-based Multilingual Web Document Aligner ...
Vu, Thuy; Moschitti, Alessandro. - : arXiv, 2021
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22
Extracting Synonyms from Bilingual Dictionaries ...
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23
Open Knowledge Graphs Canonicalization using Variational Autoencoders ...
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24
Cross-lingual Entity Alignment with Incidental Supervision ...
Chen, Muhao; Shi, Weijia; Zhou, Ben. - : arXiv, 2020
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25
CoDEx: A Comprehensive Knowledge Graph Completion Benchmark ...
Safavi, Tara; Koutra, Danai. - : arXiv, 2020
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26
EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question Answering ...
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27
A Voice Interactive Multilingual Student Support System using IBM Watson ...
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28
Biomedical Concept Relatedness -- A large EHR-based benchmark ...
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29
Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering ...
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30
ColloQL: Robust Cross-Domain Text-to-SQL Over Search Queries ...
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31
Testing the Quantitative Spacetime Hypothesis using Artificial Narrative Comprehension (II) : Establishing the Geometry of Invariant Concepts, Themes, and Namespaces ...
Burgess, Mark. - : arXiv, 2020
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32
Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of Polyglotism ...
Roberts, Denisa A. O.. - : arXiv, 2020
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33
Using Image Captions and Multitask Learning for Recommending Query Reformulations ...
Abstract: Interactive search sessions often contain multiple queries, where the user submits a reformulated version of the previous query in response to the original results. We aim to enhance the query recommendation experience for a commercial image search engine. Our proposed methodology incorporates current state-of-the-art practices from relevant literature -- the use of generation-based sequence-to-sequence models that capture session context, and a multitask architecture that simultaneously optimizes the ranking of results. We extend this setup by driving the learning of such a model with captions of clicked images as the target, instead of using the subsequent query within the session. Since these captions tend to be linguistically richer, the reformulation mechanism can be seen as assistance to construct more descriptive queries. In addition, via the use of a pairwise loss for the secondary ranking task, we show that the generated reformulations are more diverse. ... : Accepted as a full paper at ECIR 2020 ...
Keyword: Artificial Intelligence cs.AI; FOS Computer and information sciences; Information Retrieval cs.IR
URL: https://arxiv.org/abs/2003.00708
https://dx.doi.org/10.48550/arxiv.2003.00708
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34
Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval ...
Mitra, Bhaskar. - : arXiv, 2020
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35
Efficient long-distance relation extraction with DG-SpanBERT ...
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36
Unification-based Reconstruction of Multi-hop Explanations for Science Questions ...
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37
Building Large Lexicalized Ontologies from Text: a Use Case in Automatic Indexing of Biotechnology Patents ...
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38
Studying Dishonest Intentions in Brazilian Portuguese Texts ...
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39
Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search ...
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40
The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources ...
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