| # of submissions | % of submissions | ||||||||
| area | paper+ poster | % | Accepted as Paper | Rejected | Accepted as Poster | Accepted | Rejected | Poster | avg submission score |
| inference, pragmatics, semantics incl. textual entailment, semantic role labeling | 41 | 6.66 | 9 | 23 | 9 | 0.22 | 0.56 | 0.22 | 2.73 |
| machine translation; multilinguality | 72 | 11.69 | 19 | 39 | 14 | 0.26 | 0.54 | 0.19 | 2.74 |
| language resources, corpus annotation | 29 | 4.71 | 6 | 14 | 9 | 0.21 | 0.48 | 0.31 | 2.87 |
| lexical semantics (not incl. wsd) | 24 | 3.90 | 7 | 9 | 8 | 0.29 | 0.38 | 0.33 | 3.11 |
| grammars/formal syntax;psych models | 19 | 3.08 | 7 | 9 | 3 | 0.37 | 0.47 | 0.16 | 2.98 |
| coreference, discourse, dialog, prosody and multi-modality | 40 | 6.49 | 11 | 20 | 9 | 0.28 | 0.50 | 0.23 | 3.04 |
| speech and language modeling | 41 | 6.66 | 9 | 22 | 10 | 0.22 | 0.54 | 0.24 | 2.77 |
| text classification incl. sentiment analysis | 35 | 5.68 | 7 | 24 | 4 | 0.20 | 0.69 | 0.11 | 2.59 |
| phonology, word segmentation, morphology; POS tagging, chunking | 30 | 4.87 | 5 | 17 | 8 | 0.17 | 0.57 | 0.27 | 2.53 |
| question answering | 20 | 3.25 | 6 | 13 | 1 | 0.30 | 0.65 | 0.05 | 2.75 |
| parsing | 46 | 7.47 | 15 | 18 | 13 | 0.33 | 0.39 | 0.28 | 2.94 |
| word sense disambiguation | 28 | 4.55 | 6 | 15 | 7 | 0.21 | 0.54 | 0.25 | 2.75 |
| (other) NLP applications | 23 | 3.73 | 8 | 11 | 4 | 0.35 | 0.48 | 0.17 | 2.94 |
| machine learning methods | 36 | 5.84 | 8 | 19 | 9 | 0.22 | 0.53 | 0.25 | 2.61 |
| generation | 11 | 1.79 | 4 | 5 | 2 | 0.36 | 0.45 | 0.18 | 2.97 |
| summarization | 21 | 3.41 | 4 | 12 | 5 | 0.19 | 0.57 | 0.24 | 2.69 |
| Asian languages | 25 | 4.06 | 4 | 16 | 5 | 0.16 | 0.64 | 0.20 | 2.39 |
| IR | 22 | 3.57 | 2 | 16 | 4 | 0.09 | 0.73 | 0.18 | 2.44 |
| information extraction | 53 | 8.60 | 11 | 27 | 15 | 0.21 | 0.51 | 0.28 | 2.55 |
| 616 | 100.00 | 148 | 329 | 139 | 0.24 | 0.53 | 0.23 | 2.76 | |