|
# 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 |
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