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Named Entity Recognition

94 papers with code · Natural Language Processing

Named entity recognition (NER) is the task of tagging entities in text with their corresponding type. Approaches typically use BIO notation, which differentiates the beginning (B) and the inside (I) of entities. O is used for non-entity tokens.

Example:

Mark Watney visited Mars
B-PER I-PER O B-LOC

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Latest papers without code

Transfer Learning for Sequence Labeling Using Source Model and Target Data

14 Feb 2019Lingzhen Chen et al

In this paper, we propose an approach for transferring the knowledge of a neural model for sequence labeling, learned from the source domain, to a new model trained on a target domain, where new label categories appear.

NAMED ENTITY RECOGNITION TRANSFER LEARNING

14 Feb 2019

Revised JNLPBA Corpus: A Revised Version of Biomedical NER Corpus for Relation Extraction Task

29 Jan 2019Ming-Siang Huang et al

Moreover, the cross-validation test is carried out which we train the NER systems on JNLPBA/Revised JNLPBA corpora and access the performance in both protein-protein interaction extraction (PPIE) and biomedical event extraction (BEE) corpora to confirm that the newly refined Revised JNLPBA is a competent NER corpus in biomedical relation application.

NAMED ENTITY RECOGNITION RELATION EXTRACTION

29 Jan 2019

Named Entity Recognition in Electronic Health Records Using Transfer Learning Bootstrapped Neural Networks

6 Jan 2019Luka Gligic et al

In our study, we develop an approach that solves these problems for named entity recognition, obtaining 94.6 F1 score in I2B2 2009 Medical Extraction Challenge [6], 4.3 above the architecture that won the competition.

NAMED ENTITY RECOGNITION TRANSFER LEARNING

06 Jan 2019

Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks

31 Dec 2018Edward Kim et al

Leveraging new data sources is a key step in accelerating the pace of materials design and discovery.

NAMED ENTITY RECOGNITION WORD EMBEDDINGS

31 Dec 2018

A Survey on Deep Learning for Named Entity Recognition

22 Dec 2018Jing Li et al

NER serves as the basis for a variety of natural language applications such as question answering, text summarization, and machine translation.

MACHINE TRANSLATION NAMED ENTITY RECOGNITION QUESTION ANSWERING SEMANTIC COMPOSITION TEXT SUMMARIZATION

22 Dec 2018

A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization

14 Dec 2018Sendong Zhao et al

State-of-the-art studies have demonstrated the superiority of joint modelling over pipeline implementation for medical named entity recognition and normalization due to the mutual benefits between the two processes.

MEDICAL NAMED ENTITY RECOGNITION MULTI-TASK LEARNING

14 Dec 2018

Dynamic Transfer Learning for Named Entity Recognition

13 Dec 2018Parminder Bhatia et al

We complement a standard hierarchical NER model with a general transfer learning framework consisting of parameter sharing between the source and target tasks, and showcase scores significantly above the baseline architecture.

NAMED ENTITY RECOGNITION TRANSFER LEARNING

13 Dec 2018

End-to-end Joint Entity Extraction and Negation Detection for Clinical Text

13 Dec 2018Parminder Bhatia et al

Most of the existing systems treat this task as a pipeline of two separate tasks, i.e., named entity recognition (NER) and rule-based negation detection.

ENTITY EXTRACTION NAMED ENTITY RECOGNITION NEGATION DETECTION

13 Dec 2018

Statement networks: a power structure narrative as depicted by newspapers

10 Dec 2018Shoumik Sharar Chowdhury et al

We report a data mining pipeline and subsequent analysis to understand the core periphery power structure created in three national newspapers in Bangladesh, as depicted by statements made by people appearing in news.

NAMED ENTITY RECOGNITION

10 Dec 2018

Pathology Extraction from Chest X-Ray Radiology Reports: A Performance Study

6 Dec 2018Tahsin Mostafiz et al

Our results demonstrate the inadequacy of generic APIs for pathology extraction task and establish the importance of domain specific model training for improved results.

NAMED ENTITY RECOGNITION

06 Dec 2018