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An Algorithm that Learns What's in a Name

Machine learning, 1999-02, Vol.34 (1-3), p.211-231

1999

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Natural-language understanding at BBN

IEEE annals of the history of computing, 2006-01, Vol.28 (1), p.46-55

Weischedel, R.

2006

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Empirical studies on the impact of lexical resources on CLIR performance

Information processing & management, 2005-05, Vol.41 (3), p.475-487

2005

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Combining rule-based and statistical mechanisms for low-resource named entity recognition

Machine translation, 2018-06, Vol.32 (1/2), p.31-43

2018

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Knowledge representation and natural language processing

Proceedings of the IEEE, 1986-07, Vol.74 (7), p.905-920

Weischedel, R.M.

1986

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Empirical studies on the impact of lexical resources on CLIR performance: Cross-language information retrieval

Information processing & management, 2005, Vol.41 (3), p.475-487

2005

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Madeleine Bates and Ralph M. Weischedel (editors), Challenges in Natural Language Processing. Cambridge: Cambridge University Press, 1993. ISBN 0521 41015 0, US$54.95 (hardback). 307 pp

Natural Language Engineering, 1996, Vol.2 (1), p.81-93

1996

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An artificial intelligence approach to language instruction

Artificial intelligence, 1978-01, Vol.10 (3), p.225-240

1978

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Some Frills for Modal Tic-Tac-Toe: Semantics of Predicate Complement Constructions

IEEE transactions on computers, 1976-04, Vol.C-25 (4), p.374-389

1976

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Challenges in Natural Language Processing

Natural Language Engineering, 1996, Vol.2 (1), p.91-93

1996

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Computing at Bolt Beranek and Newman: The First 40 Years, Part 2

IEEE annals of the history of computing, 2006-01, Vol.28 (1), p.4-5

2006

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"We Don't Need no Stinking Badges"-Modernists vs. Post-Modernists: Kant, Foucault, Weber, Loewith, Arendt

Administrative theory & praxis, 2006-10, Vol.28 (3), p.311-329

Hummel, Ralph P.

2006

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Automated analysis of lexical features in frontotemporal degeneration

Cortex, 2021-04, Vol.137, p.215-231

2021

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Note the hierarchy: Taxonomy-guided prototype for few-shot named entity recognition

Information processing & management, 2024-01, Vol.61 (1), p.103557, Article 103557

2024

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Artificial Immune Systems-Based Classification Model for Code-Mixed Social Media Data

Ingénierie et recherche biomédicale, 2022-04, Vol.43 (2), p.120-129

2022

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From newspaper supplement to data company: Tracking rhetorical change in the Times Higher Education’s rankings coverage

Poetics (Amsterdam), 2022-06, Vol.92, p.101637, Article 101637

2022

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A neuralized feature engineering method for entity relation extraction

Neural networks, 2021-09, Vol.141, p.249-260

2021

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Automatic Testing and Improvement of Machine Translation

2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE), 2020, p.974-985

2020

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Mining actuarial risk predictors in accident descriptions using recurrent neural networks

Risks (Basel), 2021-01, Vol.9 (1), p.1-14

2021

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DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing

Journal of biomedical informatics, 2023-02, Vol.138, p.104286-104286, Article 104286

2023

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A Natural Language Processing System using CWS Pipeline for Extraction of Linguistic Features

Procedia computer science, 2023, Vol.218, p.1768-1777

2023

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BE-BLC: BERT-ELMO-Based Deep Neural Network Architecture for English Named Entity Recognition Task

Procedia computer science, 2021, Vol.192, p.168-181

2021

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Recognizing names in biomedical texts using mutual information independence model and SVM plus sigmoid

International journal of medical informatics (Shannon, Ireland), 2006-06, Vol.75 (6), p.456-467

Zhou, G.D.

2006

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Feature assembly method for extracting relations in Chinese

Artificial intelligence, 2015-11, Vol.228, p.179-194

2015

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Tectogrammatical Annotation of the Wall Street Journal

Prague bulletin of mathematical linguistics, 2009-07, Vol.92 (1), p.85

2009

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An Algorithm that Learns What's in a Name

Natural-language understanding at BBN

Empirical studies on the impact of lexical resources on CLIR performance

Combining rule-based and statistical mechanisms for low-resource named entity recognition

Knowledge representation and natural language processing

Empirical studies on the impact of lexical resources on CLIR performance: Cross-language information retrieval

Madeleine Bates and Ralph M. Weischedel (editors), Challenges in Natural Language Processing. Cambridge: Cambridge University Press, 1993. ISBN 0521 41015 0, US$54.95 (hardback). 307 pp

An artificial intelligence approach to language instruction

Some Frills for Modal Tic-Tac-Toe: Semantics of Predicate Complement Constructions

Challenges in Natural Language Processing

Computing at Bolt Beranek and Newman: The First 40 Years, Part 2

"We Don't Need no Stinking Badges"-Modernists vs. Post-Modernists: Kant, Foucault, Weber, Loewith, Arendt

Automated analysis of lexical features in frontotemporal degeneration

Note the hierarchy: Taxonomy-guided prototype for few-shot named entity recognition

Artificial Immune Systems-Based Classification Model for Code-Mixed Social Media Data

From newspaper supplement to data company: Tracking rhetorical change in the Times Higher Education’s rankings coverage

A neuralized feature engineering method for entity relation extraction

Automatic Testing and Improvement of Machine Translation

Mining actuarial risk predictors in accident descriptions using recurrent neural networks

DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing

A Natural Language Processing System using CWS Pipeline for Extraction of Linguistic Features

BE-BLC: BERT-ELMO-Based Deep Neural Network Architecture for English Named Entity Recognition Task

Recognizing names in biomedical texts using mutual information independence model and SVM plus sigmoid

Feature assembly method for extracting relations in Chinese

Tectogrammatical Annotation of the Wall Street Journal

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