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Reading Group
Official name of this course is NPFL095 Modern Methods in Computational Linguistics. It is a continuation of informal Reading Group (RG) meetings. Requirements for getting credits:
- presenting one paper,
- Select a term (write your name to the schedule below) before Feb 25.
- If no paper is assigned to the term, suggest me 2–3 papers you would like to present (with pdf links, and your preferences) before March 4. Ideally, make a group of 2–4 students presenting papers on a common topic (starting from basics to more advance papers).
- Prepare your presentation and 3–6 quiz questions. At least 3 of the questions should ask for a specific answer, e.g. “write an equation for…”, “given training set X=([dog,N],[cat,Y]), what is the number…” (Not “what do you think about…”). The first question should be quite easy to answer for those who have read the whole paper. The last question may be a tricky one. Send me the questions two weeks before your presentation. We may discuss the paper and refine the questions.
- One week before the presentation, write the questions to a dedicated wiki page here. Send a reminder (questions and a link to the pdf of the paper) to rg@ufal.mff.cuni.cz (subscribe first) by Monday 16:00.
- One week after the presentation (at the latest), write your (or the best) answers below the questions, plus a summary of interesting points discussed at the presentation (report).
- active participation in the discussions, which is conditioned by reading the papers in advance and attending the meetings,
- sending your answers to me and the presenter by Friday 23:59 (so the presenter can go through all answers before the presentation and focus more on problematic parts).
- In case of more than three missed meetings or deadlines, additional reports (or answers to tricky questions) are required.
All questions, reports and presented papers must be in English. The presentations are in English by default, but if all present people agree it may be in Czech.
| Contact | popel@ufal.mff.cuni.cz |
|---|---|
| Mailing list | rg@ufal.mff.cuni.cz |
| List Archive | http://ufal.mff.cuni.cz/mailman/listinfo/rg |
| Meetings | Mondays 16:00, room S1 |
| Past meetings | courses:rg:past |
| Inspiration | courses:rg:wishlist |
Spring&Summer 2013
| date | speaker | paper |
|---|---|---|
| Feb 18 | startup meeting | |
| Feb 25 | Martin Popel | Mark Johnson: A brief introduction to kernel classifiers, 2009. You can also read a chapter from cimpl.info |
| Mar 4 | Ondřej Dušek | Michael Collins, Nigel Duffy: Convolution kernels for natural language, NIPS 2001. Questions and Answers |
| Mar 11 | Ondřej Košarko | Aron Culotta, Jeffrey Sorensen: Dependency Tree Kernels for Relation Extraction, ACL 2004. Questions |
| Mar 18 | Jindřich Helcl | Michael Collins: Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms, EMNLP 2002. Questions |
| Mar 25 | Sara van de Moosdijk | Andrew McCallum, Dayne Freitag, Fernando Pereira: Maximum Entropy Markov Models for Information Extraction and Segmentation, Conference on Machine Learning 2000, slides Questions & Answers |
| Apr 1 | — | no RG, Easter (and April Fool's Day) |
| Apr 8 | Vincent Kríž | John Lafferty, Andrew McCallum, Fernando Pereira: Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data, 2001 Questions |
| Apr 15 | Ondřej Fiala | Ashish Venugopal, Jakob Uszkoreit, David Talbot, Franz J. Och, Juri Ganitkevitch: Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation, 2011 This time, we'll meet in the corridor instead of S1. Questions |
| Apr 22 | Matěj Korvas | Yansong Feng, Mirella Lapata: Topic Models for Image Annotation and Text Illustration |
| Apr 29 | Karel Bílek | |
| May 6 | Jan Mašek | Kojima, Tamura: Natural Language Description of Human Activities from Video Images Based on Concept Hierarchy of Actions |
| May 13 | Matouš Macháček | |
| May 20 | Petr Jankovský | Farhadi, Hejrati, Sadeghi, Young: Every Picture Tells a Story: Generating Sentences from Images /last RG/ |