| Original language | English |
|---|---|
| Title of host publication | Essential speech and language technology for Dutch |
| Editors | P. Spyns, J. Odijk |
| Place of Publication | Mouton |
| Publisher | Springer |
| Pages | 129-145 |
| Number of pages | 420 |
| ISBN (Print) | 3642309097 |
| DOIs | |
| Publication status | Published - 2013 |
Publication series
| Name | Theory and Applications of Natural Language Processing |
|---|
Cite this
Marsi, E. C., & Krahmer, E. J. (2013). Automatic tree matching for analysing semantic similarity in comparable text. In P. Spyns, & J. Odijk (Eds.), Essential speech and language technology for Dutch (pp. 129-145). (Theory and Applications of Natural Language Processing). Mouton: Springer. https://doi.org/10.1007/978-3-642-30910-6_8
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language = "English",
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Marsi, EC & Krahmer, EJ 2013, Automatic tree matching for analysing semantic similarity in comparable text. in P Spyns & J Odijk (eds), Essential speech and language technology for Dutch. Theory and Applications of Natural Language Processing, Springer, Mouton, pp. 129-145. https://doi.org/10.1007/978-3-642-30910-6_8
Automatic tree matching for analysing semantic similarity in comparable text. / Marsi, E.C.; Krahmer, E.J.
Essential speech and language technology for Dutch. ed. / P. Spyns; J. Odijk. Mouton : Springer, 2013. p. 129-145 (Theory and Applications of Natural Language Processing).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review
TY - CHAP
T1 - Automatic tree matching for analysing semantic similarity in comparable text
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AU - Krahmer, E.J.
N1 - Pagination: 420
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M3 - Chapter
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T3 - Theory and Applications of Natural Language Processing
SP - 129
EP - 145
BT - Essential speech and language technology for Dutch
A2 - Spyns, P.
A2 - Odijk, J.
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ER -
Marsi EC, Krahmer EJ. Automatic tree matching for analysing semantic similarity in comparable text. In Spyns P, Odijk J, editors, Essential speech and language technology for Dutch. Mouton: Springer. 2013. p. 129-145. (Theory and Applications of Natural Language Processing). https://doi.org/10.1007/978-3-642-30910-6_8