NLP代写 Understanding how to read and synthesize articles in NLP is an important part of carrying out research in this space. To cultivate…

Understanding how to read and synthesize articles in NLP is an important part of carrying out research in this space. To cultivate this skill, your final report will be a survey (2000 words [+/- 200 words], excluding the list of references at the end) for a specific NLP subfield of your choice (e.g., coreference resolution, question answering, interpretability, narrative generation, etc.), synthesizing at least 25 papers published in NLP or related venues; 10 of these citations must be from ACL, EMNLP, NAACL, EACL, AACL, Transactions of the ACL or Computational Linguistics (the main conferences and journals, not affiliated workshops); the remaining 15 can be from other venues so long as they are computational in nature. Your survey should report the word count as a footnote on the first page.

This survey should be able to provide a newcomer (such as yourself at the start of the semester) the following information: NLP代写

  • A sense of the current state of the art in the subfield in 2022
  • The major historical papers that have defined the area
  • Any different schools of thought or classes of solutions within it. (An example of different schools of thought would be the different approaches to machine translation discussed in SLP3 ch. 10 (pp. 26-29), or the difference between generative, discriminative, and neural approaches we’ve seen throughout the semester).

Your survey should not just be a list of 25 bullet points describing each paper in turn; you should take care to synthesize all of the works into a continuous narrative well enough that your survey conveys a comprehensive view of the subfield, identifying the major tasks, datasets, methods, and means of evaluation. See the example surveys below for the kind of description (but not the length!) we expect.

The survey should use the ACL 2021 style files for formatting, which are available as an Overleaf template

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and source templates for LaTeX and Microsoft Word

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To calculate word count on Overleaf, see this post: NLP代写

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You do not need to use Overleaf (or LaTeX) to complete this assignment (see the Microsoft Word templates above instead), but if you would like to use this as an opportunity to learn it, see this tutorial

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Here are some existing surveys — while these are all of course much longer than the ones you will be writing, they can still give you a sense about what the genre of a survey is all about:

  • “Automated Essay Scoring: A Survey of the State of the Art”
  • (Links to an external site.)
  • “A Survey on Recent Advances in Named Entity Recognition from Deep Learning models”
  • “A Survey of Arabic Named Entity Recognition and Classification”
  • (Links to an external site.)
  • “A Comprehensive Survey of Deep Learning for Image Captioning”
  • (Links to an external site.)
  • “A Systematic Review of Automatic Question Generation for Educational Purposes”
  • (Links to an external site.)
  • “Survey of the State of the Art in Natural Language Generation”
  • (Links to an external site.)
  • “Extraction and Analysis of Fictional Character Networks: A Survey”
  • (Links to an external site.)