Ensemble Model

method ID: ensemblemodel

Related Papers

An Ensemble of Grapheme and Phoneme for Machine Transliteration

Authors: nan

Publication: TIPSTER (2005)

DOI: nan

. Machine transliteration is an automatic method to generate characters or words in one alphabetical system for the corresponding characters in another alphabetical system. There has been increasing concern on …...

13070

Effective Approaches to Attention-based Neural Machine Translation

Authors: nan

Publication: TIPSTER (2015)

DOI: nan

An attentional mechanism has lately been used to improve neural machine transla- tion (NMT) by selectively focusing on parts of the source sentence during trans- lation. However, there has been …...

34485

Non-sentential Question Resolution using Sequence to Sequence Learning

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractAn interactive Question Answering (QA) system frequently encounters non-sentential (incomplete) questions. These non-sentential questions may not make sense to the system when a user asks them without the context of …...

4427

DCU System Report on the WMT 2017 Multi-modal Machine Translation Task

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

We report experiments with multi-modal neural machine translation models that in- corporate global visual features in differ- ent parts of the encoder and decoder, and use the VGG19 network to …...

27964

Multi-source Neural Automatic Post-Editing: FBK’s participation in the WMT 2017 APE shared task

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

Previous phrase-based approaches to Au- tomatic Post-editing (APE) have shown that the dependency of MT errors from the source sentence can be exploited by jointly learning from source and target …...

27893

AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweets

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractIn this paper we describe our submission to SemEval-2018 Task 1: Affects in Tweets. The model which we present is an ensemble of various neural architectures and gradient boosted trees, …...

26089

HHU at SemEval-2018 Task 12: Analyzing an Ensemble-based Deep Learning Approach for the Argument Mining Task of Choosing the Correct Warrant

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractThis paper describes our participation in the SemEval-2018 Task 12 Argument Reasoning Comprehension Task which calls to develop systems that, given a reason and a claim, predict the correct warrant …...

25937

Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractThis paper describes our system for the SemEval 2019 Task 4 on hyperpartisan news detection. We build on an existing deep learning approach for sentence classification based on a Convolutional …...

25529

TUVD team at SemEval-2019 Task 6: Offense Target Identification

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractThis article presents our approach for detecting a target of offensive messages in Twitter, including Individual, Group and Others classes. The model we have created is an ensemble of simpler …...

25679

UVA Wahoos at SemEval-2019 Task 6: Hate Speech Identification using Ensemble Machine Learning

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractWith the growth in the usage of social media, it has become increasingly common for people to hide behind a mask and abuse others. We have attempted to detect such …...

25673

A Simple and Efficient Ensemble Classifier Combining Multiple Neural Network Models on Social Media Datasets in Vietnamese

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

Text classification is a popular topic of natural language processing, which has currently at- tracted numerous research efforts worldwide. The significant increase of data in social me- dia requires the …...

18842

Analysis of Hierarchical Multi-Content Text Classification Model on B-SHARP Dataset for Early Detection of Alzheimer’s Disease

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper presents a new dataset, B-SHARP, that can be used to develop NLP models for the detection of Mild Cognitive Impairment (MCI) known as an early sign of Alzheimer’s …...

416

CIRCE at SemEval-2020 Task 1: Ensembling Context-Free and Context-Dependent Word Representations

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes the winning contribution to SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection (Subtask 2) handed in by team UG Student Intern. We present an ensemble model that …...

24640

Hitachi at SemEval-2020 Task 11: An Empirical Study of Pre-Trained Transformer Family for Propaganda Detection

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIn this paper, we show our system for SemEval-2020 task 11, where we tackle propaganda span identification (SI) and technique classification (TC). We investigate heterogeneous pre-trained language models (PLMs) such …...

24438

Infosys Machine Translation System for WMT20 Similar Language Translation Task

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes Infosys’s submission to the WMT20 Similar Language Translation shared task. We participated in Indo-Aryan language pair in the language direction Hindi to Marathi. Our baseline system is …...

27628

Nova-Wang at SemEval-2020 Task 12: OffensEmblert: An Ensemble ofOffensive Language Classifiers

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper presents our contribution to the Offensive Language Classification Task (English SubTask A) of Semeval 2020. We propose different Bert models trained on several offensive language classification and profanity …...

24458

TMUOU Submission for WMT20 Quality Estimation Shared Task

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe introduce the TMUOU submission for the WMT20 Quality Estimation Shared Task 1: Sentence-Level Direct Assessment. Our system is an ensemble model of four regression models based on XLM-RoBERTa with …...

27509

Will_go at SemEval-2020 Task 9: An Accurate Approach for Sentiment Analysis on Hindi-English Tweets Based on Bert and Pesudo Label Strategy

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractMixing languages are widely used in social media, especially in multilingual societies like India. Detecting the emotions contained in these languages, which is of great significance to the development of …...

24487

XD at SemEval-2020 Task 12: Ensemble Approach to Offensive Language Identification in Social Media Using Transformer Encoders

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper presents six document classification models using the latest transformer encoders and a high-performing ensemble model for a task of offensive language identification in social media. For the individual …...

24367

YNU-HPCC at SemEval-2020 Task 7: Using an Ensemble BiGRU Model to Evaluate the Humor of Edited News Titles

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes an ensemble model designed for Semeval-2020 Task 7. The task is based on the Humicroedit dataset that is comprised of news titles and one-word substitutions designed to …...

24551

YNU-HPCC at SemEval-2020 Task 8: Using a Parallel-Channel Model for Memotion Analysis

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

Abstractthis paper proposed a parallel-channel model to process the textual and visual information in memes and then analyze the sentiment polarity of memes. In the shared task of identifying and …...

24361

Analyzing Semantic Changes in Japanese Words Using BERT

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

There are two cases describing how a classi- fier processes input text, namely, misclassi- fication and correct classification. In terms of misclassified texts, a classifier handles the texts with both …...

19593

MinD at SemEval-2021 Task 6: Propaganda Detection using Transfer Learning and Multimodal Fusion

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractWe describe our systems of subtask1 and subtask3 for SemEval-2021 Task 6 on Detection of Persuasion Techniques in Texts and Images. The purpose of subtask1 is to identify propaganda techniques …...

25437

DS4DH at SemEval-2022 Task 11: Multilingual Named Entity Recognition Using an Ensemble of Transformer-based Language Models

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractIn this paper, we describe our proposed method for the SemEval 2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER). The goal of this task is to locate and classify …...

24347

Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractIn this paper, we investigate improvements to the GEC sequence tagging architecture with a focus on ensembling of recent cutting-edge Transformer-based encoders in Large configurations. We encourage ensembling models by …...

39113

SPDB Innovation Lab at SemEval-2022 Task 3: Recognize Appropriate Taxonomic Relations Between Two Nominal Arguments with ERNIE-M Model

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractSynonym and antonym practice are the most common practices in our early childhood. It correlated our known words to a better place deep in our intuition. At the beginning of …...

25139

Team LRL_NC at SemEval-2022 Task 4: Binary and Multi-label Classification of PCL using Fine-tuned Transformer-based Models

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Publication: TIPSTER (2022)

DOI: nan

AbstractPatronizing and condescending language (PCL) can find its way into many mediums of public discourse. Presence of PCL in text can produce negative effects in the society. The challenge presented …...

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The NiuTrans’s Submission to the IWSLT22 English-to-Chinese Offline Speech Translation Task

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper describes NiuTrans’s submission to the IWSLT22 English-to-Chinese (En-Zh) offline speech translation task. The end-to-end and bilingual system is built by constrained English and Chinese data and translates the …...

20672

UC3M-PUCPR at SemEval-2022 Task 11: An Ensemble Method of Transformer-based Models for Complex Named Entity Recognition

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis study introduces the system submitted to the SemEval 2022 Task 11: MultiCoNER (Multilingual Complex Named Entity Recognition) by the UC3M-PUCPR team. We proposed an ensemble of transformer-based models for …...

24984

WKU_NLP at SemEval-2023 Task 9: Translation Augmented Multilingual Tweet Intimacy Analysis

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper describes a system for the SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis. This system consists of a pretrained multilingual masked language model as a text encoder and …...

24760