CS 690N, Spring 2018, UMass Amherst


Your in-class paper presentation will focus on one research paper, and be about 20 minutes long.

Papers may cover any topic in NLP -- typically, something at the granularity of a section of a textbook chapter might make sense. If you need ideas, try looking at papers cited in the Jurafsky+Martin textbook (draft chapters, or the full 2nd edition book), which often have extensive bibliographies. Also see Eisenstein's draft textbook or other textbook or review sources.

Email me and Katie one to two weeks before your presentation with one to three possible papers you are interested in presenting. We'll approve one or give you a different one.

A few guidelines on paper selection, and paper research in general:

Things to make sure to explain in your presentation:

For clarity and presentation style:

Presentations will be graded based on both content and clarity/presentation quality. This is a great chance to practice your presentation skills!

General tips for researching the literature

This may come in handy for finding an interesting paper to present, as well as doing the literature review.

Literature Review

The literature review is a paper that reviews a subfield of NLP of your choice. It must cover at least 15 resesarch papers, including at least 5 from before the year 2000. (It can sometimes be harder to find older NLP papers that are also good/relevant. But machine learning, statistics, and linguistics are substantially older disciplines and nearly all NLP work builds on their ideas.)

We generally expect it to be 8-15 pages long (not inculding the references list at the end).

It should not merely describe the papers, but also synthesize, organize, and relate them to one another and the broader literature in NLP, and ideally also ML and linguistics. It can be done either individually or in a group of two.

An excellent example is Das and Martins (2007), "A Survey on Automatic Text Summarization" (which itself was a class assignment, now highly cited!). Another example, which has much more synthesis so isn't purely a literature review, is the Turney and Pantel (2010) survey paper.

There are different ways to structure a literature review. Typically, you should have something like:

Also make sure to:

Suggested Papers

Here is a random sampling of papers that may be of interest, either as themselves or as jumping off points for others.

Possibly of interest: these ACL Anthology pages let you see number citations of papers for entire venues; you can rank by citation count (it only tracks within ACL Anthology papers) to see popular ones. They're not always interesting, but are sometimes.

Papers on text analysis as a tool for social science and the humanities:

Other areas.