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1Reinforced Self-Training (ReST) for Language Modeling
C. Gulcehre, T. Paine, S. Srinivasan, K. Konyushkova, L. Weerts, A. Sharma, A. Siddhant, A. Ahern, M. Wang, C. Gu and 4 other author(s). (2023)cite arxiv:2308.08998Comment: 23 pages, 16 figures.
a year ago by @tomvoelker
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nlp
deep-learning
nlpdeep-learning
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5Training language models to follow instructions with human feedback
L. Ouyang, J. Wu, X. Jiang, D. Almeida, C. Wainwright, P. Mishkin, C. Zhang, S. Agarwal, K. Slama, A. Ray and 10 other author(s). ArXiv, (2022)
a year ago by @tomvoelker
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NLP
posted_with_chatgpt
deep-learning
machine-learning
AI
NLPposted_with_chatgptdeep-learningmachine-learningAI
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1Automated Clinical Coding: What, Why, and Where We Are?
H. Dong, M. Falis, W. Whiteley, B. Alex, S. Ji, J. Chen, and H. Wu. (2022)cite arxiv:2203.11092.
3 years ago by @hangdong
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NLP
myown
knowledge_based
automated_clinical_coding
AI
NHS
medical_informatics
clinical_coding
healthcare
NLPmyownknowledge_basedautomated_clinical_codingAINHSmedical_informaticsclinical_codinghealthcare
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3CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification
M. Falis, H. Dong, A. Birch, and B. Alex. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, page 907--912. Online and Punta Cana, Dominican Republic, Association for Computational Linguistics, (November 2021)
3 years ago by @hangdong
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nlp
hierarchical_relation
hierarchy
evaluation_metrics
multi-label_classification
icd
mimic
ontologies
ontology
nlphierarchical_relationhierarchyevaluation_metricsmulti-label_classificationicdmimicontologiesontology
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1A Systematic Review of Natural Language Processing Applied to Radiology Reports
A. Casey, E. Davidson, M. Poon, H. Dong, D. Duma, A. Grivas, C. Grover, V. Suárez-Paniagua, R. Tobin, W. Whiteley and 2 other author(s). (2021)cite arxiv:2102.09553.
4 years ago by @hangdong
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clinical_notes
myown
systematic_review
edinburgh
usher
nlp
natural-language-processing
radiology
review
radiology_reports
survey
clinical_nlp
knowledge
computational_linguistics
clinical_notesmyownsystematic_reviewedinburghushernlpnatural-language-processingradiologyreviewradiology_reportssurveyclinical_nlpknowledgecomputational_linguistics
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2GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
A. Wang, A. Singh, J. Michael, F. Hill, O. Levy, and S. Bowman. ICLR (Poster), OpenReview.net, (2019)
4 years ago by @nosebrain
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nlp
dataset
glue
nlpdatasetglue
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8Recursive deep models for semantic compositionality over a sentiment treebank
R. Socher, A. Perelygin, J. Wu, J. Chuang, C. Manning, A. Ng, and C. Potts. Proceedings of the 2013 conference on empirical methods in natural language processing, page 1631--1642. (2013)
5 years ago by @albinzehe
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sentiment
nlp
sst
sentimentanalysis
treebank
sentimentnlpsstsentimentanalysistreebank
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4What do you learn from context? Probing for sentence structure in contextualized word representations
I. Tenney, P. Xia, B. Chen, A. Wang, A. Poliak, R. McCoy, N. Kim, B. Van Durme, S. Bowman, D. Das and 1 other author(s). (2019)cite arxiv:1905.06316Comment: ICLR 2019 camera-ready version, 17 pages including appendices.
5 years ago by @schwemmlein
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nlp
neural
embeddings
context
network
tasks
word
nlpneuralembeddingscontextnetworktasksword
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4What do you learn from context? Probing for sentence structure in contextualized word representations
I. Tenney, P. Xia, B. Chen, A. Wang, A. Poliak, R. McCoy, N. Kim, B. Durme, S. Bowman, D. Das and 1 other author(s). ArXiv, (2019)
5 years ago by @dallmann
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nlp
contextual_representations
analysis
nlpcontextual_representationsanalysis
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1Association measures for estimating semantic similarity and relatedness between biomedical concepts.
S. Henry, A. McQuilkin, and B. McInnes. Artificial Intelligence in Medicine, (2019)
5 years ago by @dawa
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nlp
mapping
measures
merging
biomedical-similarity
matching
nlpmappingmeasuresmergingbiomedical-similaritymatching
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2Skip-Gram - Zipf + Uniform = Vector Additivity.
A. Gittens, D. Achlioptas, and M. Mahoney. ACL, page 69-76. Association for Computational Linguistics, (2017)
7 years ago by @schwemmlein
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nlp
embeddings
addition
vector
ecl
word
nlpembeddingsadditionvectoreclword
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3Requirements Analysis Tool: A Tool for Automatically Analyzing Software Requirements Documents.
K. Verma, and A. Kass. International Semantic Web Conference, volume 5318 of Lecture Notes in Computer Science, page 751--763. Berlin, Heidelberg, Springer, (2008)
14 years ago by @lama
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nlp
tool
accenture
rat
automatically
analysis
requirements
nlptoolaccentureratautomaticallyanalysisrequirements
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2Automated review of natural language requirements documents: generating useful warnings with user-extensible glossaries driving a simple state machine.
P. Jain, K. Verma, A. Kass, and R. Vasquez. ISEC, page 37-46. ACM, (2009)
15 years ago by @lama
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nlp
accenture
engineering
requirements
nlpaccentureengineeringrequirements
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2Using Chunk Based Partial Parsing of Spontaneous Speech in Unrestricted Domains for Reducing Word Error Rate in Speech Recognition
K. Zechner, and A. Waibel. COLING/ACL-98, page 1453--1459. Montreal, ACL, (1998)
17 years ago by @nlp
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nlp
book
2000
nlpbook2000
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2Verbmobil: The Combination of Deep and Shallow Processing for Spontaneous Speech Translation
T. Bub, W. Wahlster, and A. Waibel. IEEE ICASSP-97, page 71--74. IEEE, (1997)
17 years ago by @nlp
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nlp
book
2000
nlpbook2000
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2An Interlingua Based on Domain Actions for Machine Translation of Task-Oriented Dialogues
L. Levin, D. Gates, A. Lavie, and A. Waibel. ICSLP-98, page 1155--1158. Sydney, (1998)
17 years ago by @nlp
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nlp
book
2000
nlpbook2000
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1Default Representation in Constraint-based Frameworks
A. Lascarides, and A. Copestake. Computational Linguistics, 25 (1): 55--106 (1997)
17 years ago by @nlp
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nlp
book
2000
nlpbook2000
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3Temporal Interpretation, Discourse Relations, and Common Sense Entailment
A. Lascarides, and N. Asher. Linguistics and Philosophy, 16 (5): 437--493 (1993)
17 years ago by @nlp
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nlp
book
2000
nlpbook2000
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2Detecting Novel Compounds: The Role of Distributional Evidence
M. Lapata, and A. Lascarides. Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics, page 235--242. (2003)
18 years ago by @seandalai
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nlp
compounds
2003
eacl
nlpcompounds2003eacl
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