Difference between revisions of "NLP Reading Group"
| Line 26: | Line 26: | ||
|A. Prieditis | |A. Prieditis | ||
| − | [http://www.cs.jhu.edu/~jblatz/nlp-reading-group/prieditis93.pdf Machine discovery of Effective Admissible Heuristics ] | + | [http://www.cs.jhu.edu/~jblatz/nlp-reading-group/prieditis93.pdf Machine discovery of Effective Admissible Heuristics ] |
| − | Machine Learning Journal, 1993 | + | Machine Learning Journal, 1993 |
|- | |- | ||
| Line 35: | Line 35: | ||
|A. Haghighi, J. DeNero and D. Klein | |A. Haghighi, J. DeNero and D. Klein | ||
| − | [http://www.eecs.berkeley.edu/~aria42/pubs/factor-astar-naacl07.pdf Approximate Factoring for A* Search] | + | [http://www.eecs.berkeley.edu/~aria42/pubs/factor-astar-naacl07.pdf Approximate Factoring for A* Search] |
| − | NAACL-HLT 2007 | + | NAACL-HLT 2007 |
|- | |- | ||
| Line 44: | Line 44: | ||
|H. Daume III, J. Langford, and D. Marcu | |H. Daume III, J. Langford, and D. Marcu | ||
| − | [http://pub.hal3.name/daume06searn.pdf Search-based structured prediction.] | + | [http://pub.hal3.name/daume06searn.pdf Search-based structured prediction.] |
| − | Machine Learning Journal, forthcoming | + | Machine Learning Journal, forthcoming |
|- | |- | ||
| Line 53: | Line 53: | ||
|H. Daume III & D. Marcu | |H. Daume III & D. Marcu | ||
| − | [http://pub.hal3.name/daume05laso.pdf Learning as search optimization: approximate large margin methods for structured prediction.] | + | [http://pub.hal3.name/daume05laso.pdf Learning as search optimization: approximate large margin methods for structured prediction.] |
| − | ICML 2005 | + | ICML 2005 |
|- | |- | ||
| Line 62: | Line 62: | ||
|M. Kaisser, S. Scheible, and B. Webber | |M. Kaisser, S. Scheible, and B. Webber | ||
| − | [http://trec.nist.gov/pubs/trec15/papers/udeinburgh.qa.final.pdf Experiments at the University of Edinburgh for the TREC 2006 QA track.] | + | [http://trec.nist.gov/pubs/trec15/papers/udeinburgh.qa.final.pdf Experiments at the University of Edinburgh for the TREC 2006 QA track.] |
| − | TREC-15 | + | TREC-15 |
| + | |They do some fairly deep interpretation of sentences, extracting their predicate-argument structure. | ||
| + | |||
| + | |- | ||
| + | |Feb. 22 | ||
| + | |Eric Harley | ||
| + | |K. Kan Lo & W. Lam | ||
| + | |||
| + | [http://trec.nist.gov/pubs/trec15/papers/cuhk.qa.final.pdf Using Semantic Relations with World Knowledge for Question Answering] | ||
| + | |||
| + | TREC-15 | ||
| + | |||
| + | |- | ||
| + | |Feb. 15 | ||
| + | |Nikhil Bojja | ||
| + | |C. Monson et. al. | ||
| + | |||
| + | [http://acl.ldc.upenn.edu/acl2004/studentws/pdf/monson.pdf Unsupervised Induction of Natural Language Morphology Inflection Classes] | ||
| + | |||
| + | ACL Student Workshop '04 | ||
| + | |||
| + | |- | ||
| + | |Feb. 8 | ||
| + | |Delip Rao | ||
| + | |P. Schone and D. Jurafsky | ||
| + | |||
| + | [http://acl.ldc.upenn.edu/W/W00/W00-0712.pdf Knowledge-free induction of morphology using latent semantic analysis ] | ||
| + | |||
| + | CoNLL 2000 | ||
| + | |However, there was an extension of this work reported in NAACL-2001 that looks at circumfixes and prefix/affix combinations. | ||
| + | [http://www.stanford.edu/people/jurafsky/NAACL2001_Morphology_final.pdf] | ||
| + | |||
| + | |||
| + | |- | ||
| + | |Feb. 1 | ||
| + | |Nikesh Garera | ||
| + | |D. Yarowsky and R. Wicentowski | ||
| + | |||
| + | [http://www.cs.swarthmore.edu/~richardw/pubs/acl2000.ps Minimally supervised morphological analysis by multimodal alignment ] | ||
| + | |||
| + | ACL 2000 | ||
| + | |||
| + | |For more details refer to [http://www.cs.swarthmore.edu/~richardw/pubs/thesis.pdf Chapter 4] of Wicentowski's thesis. | ||
|} | |} | ||
Revision as of 04:21, 19 January 2008
The reading group attempts to keep abreast of current trends in natural language processing research. We typically read one or two recent NLP conference papers each week, and occasionally look at material from the machine learning, statistics, and linguistics communities as well.
Starting in 2008, we will be posting the weekly readings here. Past readings since 2001 will be posted shortly.
Summer 2007
| Date/Time | Presenter | Paper(s) | Supporting Papers/Notes |
|---|---|---|---|
| May. 10 | David Smith | M. Johnson, T. Griffiths, and S. Goldwater
Bayesian Inference for PCFGs via Markov Chain Monte Carlo HLT/NAACL 2007 |
Spring 2007
| Date/Time | Presenter | Paper(s) | Supporting Papers/Notes |
|---|---|---|---|
| Apr. 19 | John Blatz | A. Prieditis
Machine discovery of Effective Admissible Heuristics Machine Learning Journal, 1993 | |
| Apr. 12 | Markus Dreyer | A. Haghighi, J. DeNero and D. Klein
Approximate Factoring for A* Search NAACL-HLT 2007 | |
| Mar. 29 & Apr. 5 | Zhifei Li | H. Daume III, J. Langford, and D. Marcu
Search-based structured prediction. Machine Learning Journal, forthcoming | |
| Mar. 8 | David Smith | H. Daume III & D. Marcu
Learning as search optimization: approximate large margin methods for structured prediction. ICML 2005 | |
| Mar. 1 | Wei Chen | M. Kaisser, S. Scheible, and B. Webber
Experiments at the University of Edinburgh for the TREC 2006 QA track. TREC-15 |
They do some fairly deep interpretation of sentences, extracting their predicate-argument structure. |
| Feb. 22 | Eric Harley | K. Kan Lo & W. Lam
Using Semantic Relations with World Knowledge for Question Answering TREC-15 | |
| Feb. 15 | Nikhil Bojja | C. Monson et. al.
Unsupervised Induction of Natural Language Morphology Inflection Classes ACL Student Workshop '04 | |
| Feb. 8 | Delip Rao | P. Schone and D. Jurafsky
Knowledge-free induction of morphology using latent semantic analysis CoNLL 2000 |
However, there was an extension of this work reported in NAACL-2001 that looks at circumfixes and prefix/affix combinations.
|
| Feb. 1 | Nikesh Garera | D. Yarowsky and R. Wicentowski
Minimally supervised morphological analysis by multimodal alignment ACL 2000 |
For more details refer to Chapter 4 of Wicentowski's thesis. |