Your report needs to be written in LaTeX. You are required to use the ACL 2018 template (zip) which you can edit directly on Overleaf. Make sure your names and student numbers are visible at the top. (Tip: you need to uncomment
You can find some general tips about writing a research paper here, but note that you need to make your own judgment about what is appropriate for this project.
We expect you to use the following structure:
- Introduction (~1 page, 2pts) - describe the problem, your research questions and goals, a summary of your findings and contributions. Please cite related work (models, data set) as part of your introduction here, since this is a short paper.
- Introduce the task and the main goal
- Clear research questions
- Motivating the importance of the questions and explaining the expectations
- How are these addressed or not addressed in the literature
- What is your approach
- Short summary of your findings
- Background (~1/2-1 page, 1pt) -
cover the main techniques (“building blocks”) used in your project (e.g. word embeddings, LSTM, Tree LSTM) and intuitions behind them. Be accurate and concise.
- How each technique that you use works (don’t just copy the formulas)
- The relation between the techniques
- Models (~1/2 page, 1pt) - Cover the models that you used.
- The architecture of the final models (how do you use LSTM or Tree LSTM for the sentiment classification task. what layers you have, how do you do classification? What is your loss function?)
- Experiments (~1/2 page, 1pt) - Describe your experimental setup. The information here should allow someone else to re-create your experiments. Describe how you evaluate the models.
- Explain the task and the data
- Training the models (model, data, parameters and hyper parameters of the models, training algorithms, what supervision signals you use, etc.)
- Evaluation (e.g. metrics)
- Results and Analysis (~1 page, 4pts). Go over the results and analyse your findings.
- Answer each of the research questions you raised in the introduction.
- Plots and figures highlighting interesting patterns
- What are the factors that makes model A better than model B in task C? investigate to prove their effect!
- Conclusion (~1/4 page, 1pt). The main conclusions of your experiments.
- What you learned from you experiments? how does it relate to what is already known in the literature?
- Where the results as expected ? any surprising results? why?
- Based on what you learned what would you suggest to do next?
You lose points for bad writing style (because you were asked to prepare a conference-style report).
- Writing style
- did not make proper use of the latex template (e.g. tweaked the template): -0.5
- did not respect the page limit: -0.5 for the first page, we stop reading beyond that (which will affect your grade for other criteria as well).
- bad structure (e.g. missing important sections such as introduction and conclusion): -0.5 per section.
- command of English: judged case by case
- Math notation – define each variable (either in running text, or in a pseudo-legenda after or before the equation)
- Define technical terminology you need
- Avoid colloquial language – everything can be said in a scientific-sounding way
- Avoid lengthy sentences, stay to the point!
- Do not spend space on “obvious” things!
An ideal report:
- Precise, scientific-sounding, technical, to the point
- Little general “waffle”/chit-chat
- Not boring – because you don’t explain obvious things too much
- Efficient delivery of (only) the facts that we need to know to understand/reimplement
- Results visually well-presented and described with the correct priority of importance of sub-results
- Insightful analysis – speculation should connect to something interesting and not be too much; the reader “learns something new”
- No typos, no colloquialisms – well-considered language
- This normally means several re-draftings (re-orderings of information)