Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Adapting Sequence to Sequence models for Text Normalization in Social
  Media   Social media offer an abundant source of valuable raw data, however informal
writing can quickly become a bottleneck for many natural language processing
(NLP) tasks. Off-the-shelf tools are usually trained on formal text and cannot
explicitly handle noise found in short online posts. Moreover, the variety of
frequently occurring linguistic variations presents several challenges, even
for humans who might not be able to comprehend the meaning of such posts,
especially when they contain slang and abbreviations. Text Normalization aims
to transform online user-generated text to a canonical form. Current text
normalization systems rely on string or phonetic similarity and classification
models that work on a local fashion. We argue that processing contextual
information is crucial for this task and introduce a social media text
normalization hybrid word-character attention-based encoder-decoder model that
can serve as a pre-processing step for NLP applications to adapt to noisy text
in social media. Our character-based component is trained on synthetic
adversarial examples that are designed to capture errors commonly found in
online user-generated text. Experiments show that our model surpasses neural
architectures designed for text normalization and achieves comparable
performance with state-of-the-art related work.

28
The categories of this paper are: alg-geom
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
9
The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
16
The categories of this paper are: stat
2
The categories of this paper are: math
11
The categories of this paper are: hep-lat