Results 101 to 110 of about 1,392,663 (358)

PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis

open access: yesConference on Empirical Methods in Natural Language Processing, 2015
This paper presents a new method to identify sentiment of an aspect of an entity. It is an extension of RNN (Recursive Neural Network) that takes both dependency and constituent trees of a sentence into account.
Thien Hai Nguyen, Kiyoaki Shirai
semanticscholar   +1 more source

Comparing constituency and dependency representations for SMT phrase-extraction [PDF]

open access: yes, 2008
We consider the value of replacing and/or combining string-based methods with syntax-based methods for phrase-based statistical machine translation (PBSMT), and we also consider the relative merits of using constituency-annotated vs.
Hearne, Mary   +2 more
core  

Time trends and predictors of gout remission over six years

open access: yesArthritis Care &Research, Accepted Article.
Objectives This study aims to describe the trends in remission rates over six years of follow‐up among people with gout taking urate‐lowering therapy (ULT), and to identify variables that predict remission. Methods A post hoc analysis was conducted using data from the Cardiovascular Safety of Febuxostat or Allopurinol in Patients with Gout (CARES ...
Adwoa Dansoa Tabi‐Amponsah   +5 more
wiley   +1 more source

CHAMBER VOCAL CREATIONS BY SNEJANA PÎSLARI: GENERAL CHARACTERISTICS, GENRE AND STYLE FEATURES [PDF]

open access: yesStudiul Artelor şi Culturologie: Istorie, Teorie, Practică, 2016
The author suggests a general characterization of the chamber vocal creations by Snejana Pîslari. The present work represents a detailed analysis of the romances, written by the composer on lyrics by M. Eminescu and N. Labiş. The author reveals the genre
COADĂ TATIANA
doaj  

What\u27s In a Phrase? [PDF]

open access: yes, 2005
We all use phrases without a second thought or glance. Many of these word liaisons, however, are host to a world of hidden words and hidden letter patterns. Some of these are now about to be exposed. The phrases under scrutiny here are mostly, but not
Thorpe, Susan
core   +1 more source

CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information

open access: yes, 2018
Open Information Extraction (OpenIE) methods extract (noun phrase, relation phrase, noun phrase) triples from text, resulting in the construction of large Open Knowledge Bases (Open KBs).
Jain, Prince   +2 more
core   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

Memory-Based Shallow Parsing

open access: yes, 2002
We present memory-based learning approaches to shallow parsing and apply these to five tasks: base noun phrase identification, arbitrary base phrase recognition, clause detection, noun phrase parsing and full parsing.
Sang, Erik F. Tjong Kim
core   +1 more source

Retrotransposon Expression Is Upregulated in Adulthood and Suppressed during Regeneration of the Limb in the Axolotl (Ambystoma mexicanum)

open access: yesAdvanced Biology, EarlyView.
The axolotl's remarkable regenerative abilities decline with age, the causes may include the numerous repetitive elements within its genome. This study uncovers how Ty3 retrotransposons and coexpression networks involving muscle and immune pathways respond to aging and regeneration, suggesting that transposons respond to physiological shifts and may ...
Samuel Ruiz‐Pérez   +8 more
wiley   +1 more source

A Stochastic Parts Program and Noun Phrase Parser for Unrestricted Text

open access: yesApplied Natural Language Processing Conference, 1988
A program that tags each word in an input sentence with the most likely part of speech has been written. The program uses a linear-time dynamic programming algorithm to find an assignment of parts of speech to words that optimizes the product of (a ...
Kenneth Ward Church
semanticscholar   +1 more source

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