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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 ...
Abstract: In natural language processing, relation extraction seeks to rationally understand unstructured text. Here, we propose a novel SpanBERT-based graph convolutional network (DG-SpanBERT) that extracts semantic features from a raw sentence using the pre-trained language model SpanBERT and a graph convolutional network to pool latent features. Our DG-SpanBERT model inherits the advantage of SpanBERT on learning rich lexical features from large-scale corpus. It also has the ability to capture long-range relations between entities due to the usage of GCN on dependency tree. The experimental results show that our model outperforms other existing dependency-based and sequence-based models and achieves a state-of-the-art performance on the TACRED dataset. ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Information Retrieval cs.IR; Machine Learning cs.LG
URL: https://dx.doi.org/10.48550/arxiv.2004.03636
https://arxiv.org/abs/2004.03636
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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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