The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
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Citations
Cites
Building a Large Annotated Corpus of English: The Penn Treebank
Marcus, M. (1993) · doi:10.21236/ada273556 · Cited by 7,405
Framewise phoneme classification with bidirectional LSTM and other neural network architectures
Graves, A., & Schmidhuber, J. (2005) · Neural Networks · doi:10.1016/j.neunet.2005.06.042 · Cited by 5,839
Rhetorical Structure Theory: Toward a functional theory of text organization
MANN, W. C., & THOMPSON, S. A. (1988) · Text - Interdisciplinary Journal for the Study of Discourse · doi:10.1515/text.1.1988.8.3.243 · Cited by 3,853
Sentence level discourse parsing using syntactic and lexical information
Soricut, R., & Marcu, D. (2003) · Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - NAACL '03 · doi:10.3115/1073445.1073475 · Cited by 402
Straka, M., Hajič, J., & Straková, J. (2016) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/2q6bwb9anobz · Cited by 350
DyNet: The Dynamic Neural Network Toolkit
Neubig, G., Dyer, C., Goldberg, Y., Matthews, A., Ammar, W., Anastasopoulos, A., Ballesteros, M., Chiang, D., Clothiaux, D., Cohn, T., et al. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1701.03980 · Cited by 302
Building a Discourse-Tagged Corpus in the Framework of Rhetorical Structure Theory
Carlson, L., Marcu, D., & Okurowski, M. E. (2003) · Text, Speech and Language Technology · doi:10.1007/978-94-010-0019-2_5 · Cited by 298
Representation Learning for Text-level Discourse Parsing
Ji, Y., & Eisenstein, J. (2014) · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.3115/v1/p14-1002 · Cited by 228
Discourse Tagging Reference Manual
Rieg, N., Romera, M., Watanabe, M., & West, M. (2001) · Cited by 224
CODRA: A Novel Discriminative Framework for Rhetorical Analysis
Joty, S., Carenini, G., & Ng, R. T. (2015) · Computational Linguistics · doi:10.1162/coli_a_00226 · Cited by 181
Cited by
Domain-specific language model pretraining for biomedical natural language processing
Gu, Y., Tinn, R., Cheng, H., Lucas, M., Usuyama, N., Liu, X., Naumann, T., Gao, J., & Poon, H. (2022) · ACM Transactions on Computing for Healthcare · doi:10.1145/3458754 · Cited by 2,170
Word embeddings quantify 100 years of gender and ethnic stereotypes
Garg, N., Schiebinger, L., Jurafsky, D., & Zou, J. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1720347115 · Cited by 1,065
A survey on active learning and human-in-the-loop deep learning for medical image analysis
Budd, S., Robinson, E. C., & Kainz, B. (2021) · Medical Image Analysis · doi:10.1016/j.media.2021.102062 · Cited by 606
Sentiment analysis based on improved pre-trained word embeddings
Rezaeinia, S. M., Rahmani, R., Ghodsi, A., & Veisi, H. (2019) · Expert Systems with Applications · doi:10.1016/j.eswa.2018.08.044 · Cited by 325
Named Entity Recognition and Relation Extraction: State-of-the-Art
Nasar, Z., Jaffry, S. W., & Malik, M. K. (2022) · ACM Computing Surveys · doi:10.1145/3445965 · Cited by 245
Metadata
- Published
- 2017
- OpenAlex
- W4237040408
- Cited by
- 909
- References
- 24
- Type
- paratext
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
