Papers Entity Extraction using GAN
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Robust Benchmarking for Machine Learning of Clinical Entity Extraction
Clinical studies often require understanding elements of a patient's narrative that exist only in free text clinical notes. To transform notes into structured data for downstream use, these elements are commonly extracte…
BenchmarkingBIG-bench Machine LearningEntity Extraction using GANAugmented Understanding and Automated Adaptation of Curation Rules
Over the past years, there has been many efforts to curate and increase the added value of the raw data. Data curation has been defined as activities and processes an analyst undertakes to transform the raw data into con…
Entity Extraction using GANPOSNeural Knowledge Extraction From Cloud Service Incidents
In the last decade, two paradigm shifts have reshaped the software industry - the move from boxed products to services and the widespread adoption of cloud computing. This has had a huge impact on the software developmen…
Cloud ComputingEntity Extraction using GANManagementMulti-Task Learning+4Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction
Opinion entity extraction is a fundamental task in fine-grained opinion mining. Related studies generally extract aspects and/or opinion expressions without recognizing the relations between them. However, the relations …
Entity Extraction using GANOpinion MiningOpinion SummarizationRelation+2Named Entity Extraction with Finite State Transducers
We describe a named entity tagging system that requires minimal linguistic knowledge and can be applied to more target languages without substantial changes. The system is based on the ideas of the Brill's tagger which m…
Entity Extraction using GANTAGCausal Knowledge Extraction from Scholarly Papers in Social Sciences
The scale and scope of scholarly articles today are overwhelming human researchers who seek to timely digest and synthesize knowledge. In this paper, we seek to develop natural language processing (NLP) models to acceler…
ArticlesEntity Extraction using GANGeneral ClassificationManagementExtensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience
When comparing entities extracted by a medical entity recognition system with gold standard annotations over a test set, two types of mismatches might occur, label mismatch or span mismatch. Here we focus on span mismatc…
Entity Extraction using GANNERWhere are we in Named Entity Recognition from Speech?
Named entity recognition (NER) from speech is usually made through a pipeline process that consists in (i) processing audio using an automatic speech recognition system (ASR) and (ii) applying a NER to the ASR outputs. T…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Entity Extraction using GANnamed-entity-recognition+5MT-Clinical BERT: Scaling Clinical Information Extraction with Multitask Learning
Clinical notes contain an abundance of important but not-readily accessible information about patients. Systems to automatically extract this information rely on large amounts of training data for which their exists limi…
Entity Extraction using GANCommon-Knowledge Concept Recognition for SEVA
We build a common-knowledge concept recognition system for a Systems Engineer's Virtual Assistant (SEVA) which can be used for downstream tasks such as relation extraction, knowledge graph construction, and question-answ…
Entity Extraction using GANgraph constructionLanguage ModelingLanguage Modelling+4Entity Extraction from Wikipedia List Pages
When it comes to factual knowledge about a wide range of domains, Wikipedia is often the prime source of information on the web. DBpedia and YAGO, as large cross-domain knowledge graphs, encode a subset of that knowledge…
Entity Extraction using GANKnowledge GraphsThe STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources
We introduce the STEM (Science, Technology, Engineering, and Medicine) Dataset for Scientific Entity Extraction, Classification, and Resolution, version 1.0 (STEM-ECR v1.0). The STEM-ECR v1.0 dataset has been developed t…
Entity Extraction using GANEntity LinkingEntity ResolutionGeneral Classification+1ScopeIt: Scoping Task Relevant Sentences in Documents
Intelligent assistants like Cortana, Siri, Alexa, and Google Assistant are trained to parse information when the conversation is synchronous and short; however, for email-based conversational agents, the communication is…
Entity Extraction using GANIntent DetectionSchedulingData Mining in Clinical Trial Text: Transformers for Classification and Question Answering Tasks
This research on data extraction methods applies recent advances in natural language processing to evidence synthesis based on medical texts. Texts of interest include abstracts of clinical trials in English and in multi…
Entity Extraction using GANGeneral Classificationnamed-entity-recognitionNamed Entity Recognition+7MedCAT -- Medical Concept Annotation Tool
Biomedical documents such as Electronic Health Records (EHRs) contain a large amount of information in an unstructured format. The data in EHRs is a hugely valuable resource documenting clinical narratives and decisions,…
Active LearningEntity Extraction using GANnamed-entity-recognitionNamed Entity Recognition+2Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science
This paper describes a machine learning and data science pipeline for structured information extraction from documents, implemented as a suite of open-source tools and extensions to existing tools. It centers around a me…
BIG-bench Machine LearningEntity Extraction using GANInformation RetrievalManagement+2Latent Semantic Search and Information Extraction Architecture
The motivation, concept, design and implementation of latent semantic search for search engines have limited semantic search, entity extraction and property attribution features, have insufficient accuracy and response t…
Entity Extraction using GANCopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning
Joint extraction of entities and relations has received significant attention due to its potential of providing higher performance for both tasks. Among existing methods, CopyRE is effective and novel, which uses a seque…
Entity Extraction using GANMulti-Task LearningRelation ExtractionEntity Extraction with Knowledge from Web Scale Corpora
Entity extraction is an important task in text mining and natural language processing. A popular method for entity extraction is by comparing substrings from free text against a dictionary of entities. In this paper, we …
Entity Extraction using GANDrug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies
More than 200 generic drugs approved by the U.S. Food and Drug Administration for non-cancer indications have shown promise for treating cancer. Due to their long history of safe patient use, low cost, and widespread ava…
Entity Extraction using GANGeneral ClassificationLanguage ModelingLanguage Modelling