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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 ...
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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 ...
Abstract: This paper presents a novel framework for reconstructing multi-hop explanations in science Question Answering (QA). While existing approaches for multi-hop reasoning build explanations considering each question in isolation, we propose a method to leverage explanatory patterns emerging in a corpus of scientific explanations. Specifically, the framework ranks a set of atomic facts by integrating lexical relevance with the notion of unification power, estimated analysing explanations for similar questions in the corpus. An extensive evaluation is performed on the Worldtree corpus, integrating k-NN clustering and Information Retrieval (IR) techniques. We present the following conclusions: (1) The proposed method achieves results competitive with Transformers, yet being orders of magnitude faster, a feature that makes it scalable to large explanatory corpora (2) The unification-based mechanism has a key role in reducing semantic drift, contributing to the reconstruction of many hops explanations (6 or more ... : Accepted at EACL 2021 ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Information Retrieval cs.IR
URL: https://arxiv.org/abs/2004.00061
https://dx.doi.org/10.48550/arxiv.2004.00061
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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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