Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
By Philipp Koehn, Hieu D. Hoang. 2007
314 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/bb9b679a6a321291d22d2d286df01f00d307987a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- L. Elisa Celis
- Timo Honkela
- Vijay Keswani
- Kyungjun Lee
- Jaakko J. Väyrynen
- Hernisa Kacorri
- Ramiz M. Aliguliyev
- Aapo Hyvärinen
Citations in the corpus
- Hands Holding Clues for Object Recognition in Teachable Machines (2019, methodology): “10, to allow for the comparison, we use V-measure [57] by comparing desirable properties of the two, such as consistency of their predictions given images of the same object, and ability to distinguish between two diferent objects.”
- WordICA—emergence of linguistic representations for words by independent component analysis (2010, methodology): “POS tagging has been investigated in relation to statistical machine translation in which the factor models can be enriched with the tags (Ueffing and Ney 2003; Koehn and Hoang 2007).”
- Dialect Diversity in Text Summarization on Twitter (2020, background): “[63] Andrew Rosenberg and Julia Hirschberg.”
- Productivity and Reuse in Language (2011, unknown): “Zuidema (2007) introduced Parsimonious Data–Oriented Parsing, a version of DOP which explicitly eschews the all–subtree approach in favor of finding a set of subtrees which best explains the data.”
- A new sentence similarity measure and sentence based extractive technique for automatic text summarization (2009, methodology): “Comparison our methods with four methods CRF, NetSum, Manifold–Ranking and SVM are shown in Tables 3 and 4.”