Results 1 to 10 of about 4,914,786 (311)
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks [PDF]
Annual Meeting of the Association for Computational Linguistics, 2015 Because of their superior ability to preserve sequence information over time, Long Short-Term Memory (LSTM) networks, a type of recurrent neural network with a more complex computational unit, have obtained strong results on a variety of sequence ...
Kai Sheng Tai +2 more
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Jurnal Ilmiah SINERGI, 2023 Dipterocarpaceae is one of the most prominent plant families, with more than 500 members of species. This family mostly used timber plants for housing, making ships, decking, and primary materials for making furniture. In Indonesia, many Dipterocarpaceae
Mirna Yunita +2 more
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A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving
Conference on Empirical Methods in Natural Language Processing, 2020 With the advancements in natural language processing tasks, math word problem solving has received increasing attention. Previous methods have achieved promising results but ignore background common-sense knowledge not directly provided by the problem ...
Qinzhuo Wu +3 more
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Taxonomic colouring of phylogenetic trees of protein sequences
BMC Bioinformatics, 2006 Background Phylogenetic analyses of protein families are used to define the evolutionary relationships between homologous proteins. The interpretation of protein-sequence phylogenetic trees requires the examination of the taxonomic properties of the ...
Andrade-Navarro Miguel A +2 more
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Tree-to-Sequence Attentional Neural Machine Translation [PDF]
Annual Meeting of the Association for Computational Linguistics, 2016 Most of the existing Neural Machine Translation (NMT) models focus on the conversion of sequential data and do not directly use syntactic information.
Akiko Eriguchi +2 more
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bioRxiv, 2021 Multiple sequence alignments are widely used to infer evolutionary relationships, enabling inferences of structure, function, and phylogeny. Standard practice is to construct one alignment by some preferred method and use it in further analysis; however,
Robert C. Edgar
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Tree Sequence Kernel for Natural Language
AAAI Conference on Artificial Intelligence, 2011 We propose Tree Sequence Kernel (TSK), which implicitly exhausts the structure features of a sequence of subtrees embedded in the phrasal parse tree.
Jun Sun, Min Zhang, C. Tan
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Forest-based Tree Sequence to String Translation Model
Annual Meeting of the Association for Computational Linguistics, 2009 This paper proposes a forest-based tree sequence to string translation model for syntax-based statistical machine translation, which automatically learns tree sequence to string translation rules from word-aligned source-side-parsed bilingual texts.
Hui Zhang +4 more
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A non-contiguous Tree Sequence Alignment-based Model for Statistical Machine Translation
Annual Meeting of the Association for Computational Linguistics, 2009 The tree sequence based translation model allows the violation of syntactic boundaries in a rule to capture non-syntactic phrases, where a tree sequence is a contiguous sequence of subtrees. This paper goes further to present a translation model based on
Jun Sun, Min Zhang, C. Tan
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End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures [PDF]
Annual Meeting of the Association for Computational Linguistics, 2016 We present a novel end-to-end neural model to extract entities and relations between them. Our recurrent neural network based model captures both word sequence and dependency tree substructure information by stacking bidirectional tree-structured LSTM ...
Makoto Miwa, Mohit Bansal
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