Who Cited It

AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale

2018 · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 46,036 citations · 27 from inside this corpus

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Although geospatial question answering systems have received increasing attention in recent years, existing prototype systems struggle to properly answer qualitative spatial questions. In this work, we propose a unique framework for answering qualitative spatial questions, which comprises three main components: a geoparser that takes the input questions and extracts place semantic information from text, a reasoning system which is embedded with a crisp reasoner, and finally, answer extraction, which refines the solution space and generates final answers. We present an experimental design to evaluate our framework for point-based cardinal direction calculus (CDC) relations by developing an automated approach for generating three types of synthetic qualitative spatial questions. The initial evaluations of generated answers in our system are promising because a high proportion of answers were labelled correct.

AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S… (2018)AI-Assisted Pipeline for Dyna…Glove: Global Vectors for Word Representation (2014)Glove: Global Vectors for Wor…Distributed Representations of Words and Phrases and their Compositionality (2013)Distributed Representations o…Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank (2013)Recursive Deep Models for Sem…SQuAD: 100,000+ Questions for Machine Comprehension of Text (2016)SQuAD: 100,000+ Questions for…Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr… (2016)Google's Neural Machine Trans…A unified architecture for natural language processing (2008)A unified architecture for na…Distributed Representations of Sentences and Documents (2014)Distributed Representations o…Class-based n -gram models of natural language (1992)Class-based n -gram models of…Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen… (2017)Supervised Learning of Univer…Word Representations: A Simple and General Method for Semi-Supervised Learning (2010)Word Representations: A Simpl…GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding (2018)GLUE: A Multi-Task Benchmark …The PASCAL Recognising Textual Entailment Challenge (2006)The PASCAL Recognising Textua…Domain adaptation with structural correspondence learning (2006)Domain adaptation with struct…A Decomposable Attention Model for Natural Language Inference (2016)A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data (2005)A Framework for Learning Pred…Momentum Contrast for Unsupervised Visual Representation Learning (2020)Momentum Contrast for Unsuper…Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks (2019)Sentence-BERT: Sentence Embed…Transformers: State-of-the-Art Natural Language Processing (2020)Transformers: State-of-the-Ar…Graph neural networks: A review of methods and applications (2020)Graph neural networks: A revi…Emerging Properties in Self-Supervised Vision Transformers (2021)ALBERT: A Lite BERT for Self-supervised Learning of Language\n Representations (2019)ALBERT: A Lite BERT for Self-…Transformer-XL: Attentive Language Models beyond a Fixed-Length Context (2019)Transformer-XL: Attentive Lan…HuggingFace's Transformers: State-of-the-art Natural Language Processing (2019)HuggingFace's Transformers: S…SciBERT: A Pretrained Language Model for Scientific Text (2019)SciBERT: A Pretrained Languag…A Survey on Evaluation of Large Language Models (2024)A Survey on Evaluation of Lar…CodeBERT: A Pre-Trained Model for Programming and Natural Languages (2020)CodeBERT: A Pre-Trained Model…In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication (2020)ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning (2021)ProtTrans: Toward Understandi…LXMERT: Learning Cross-Modality Encoder Representations from Transformers (2019)LXMERT: Learning Cross-Modali…Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing (2021)Shortcut learning in deep neural networks (2020)Shortcut learning in deep neu…EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta… (2019)EDA: Easy Data Augmentation T…WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing (2022)WavLM: Large-Scale Self-Super…Language Models as Knowledge Bases? (2019)Language Models as Knowledge …TinyBERT: Distilling BERT for Natural Language Understanding (2020)TinyBERT: Distilling BERT for…TabNet: Attentive Interpretable Tabular Learning (2021)TabNet: Attentive Interpretab…
36 of 42 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Glove: Global Vectors for Word Representation201434,067
Distributed Representations of Words and Phrases and their Compositionality201318,054
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank20136,849
SQuAD: 100,000+ Questions for Machine Comprehension of Text20166,435
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr…20165,668
A unified architecture for natural language processing20085,207
Distributed Representations of Sentences and Documents20145,121
Class-based n -gram models of natural language19922,894
Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…20172,077
Word Representations: A Simple and General Method for Semi-Supervised Learning20101,941
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding20181,861
The PASCAL Recognising Textual Entailment Challenge20061,672
Domain adaptation with structural correspondence learning20061,565
A Decomposable Attention Model for Natural Language Inference20161,377
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data20051,370

What cites it, inside the corpus

PaperYearCited
Momentum Contrast for Unsupervised Visual Representation Learning202012,515
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks201911,789
Transformers: State-of-the-Art Natural Language Processing20208,295
Graph neural networks: A review of methods and applications20205,808
Emerging Properties in Self-Supervised Vision Transformers20215,394
ALBERT: A Lite BERT for Self-supervised Learning of Language\n Representations20194,076
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context20193,202
HuggingFace's Transformers: State-of-the-art Natural Language Processing20193,147
SciBERT: A Pretrained Language Model for Scientific Text20193,109
A Survey on Evaluation of Large Language Models20242,736
CodeBERT: A Pre-Trained Model for Programming and Natural Languages20202,630
In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication20202,452
ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning20212,446
LXMERT: Learning Cross-Modality Encoder Representations from Transformers20192,335
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing20212,146
Shortcut learning in deep neural networks20202,040
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta…20191,952
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing20221,843
Language Models as Knowledge Bases?20191,798
TinyBERT: Distilling BERT for Natural Language Understanding20201,706
TabNet: Attentive Interpretable Tabular Learning20211,700

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Topics

Topic ModelingComputer Science
Natural Language Processing TechniquesComputer Science
Speech Recognition and SynthesisComputer Science

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