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| The CLIP Colloquium is a weekly speaker series organized and hosted by CLIP Lab. The talks are open to everyone. Most talks are held at 11AM in AV Williams 3258 unless otherwise noted. Typically, external speakers have slots for one-on-one meetings with Maryland researchers before and after the talks; contact the host if you'd like to have a meeting.
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| If you would like to get on the cl-colloquium@umiacs.umd.edu list or for other questions about the colloquium series, e-mail [mailto:jimmylin@umd.edu Jimmy Lin], the current organizer.
| | == CLIP Colloquium == |
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| | The CLIP Colloquium is a weekly speaker series organized and hosted by CLIP Lab. The talks are open to everyone. Most talks are held on Wednesday at 11AM online unless otherwise noted. Typically, external speakers have slots for one-on-one meetings with Maryland researchers. |
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| | If you would like to get on the clip-talks@umiacs.umd.edu list or for other questions about the colloquium series, e-mail [mailto:rudinger@umd.edu Rachel Rudinger], the current organizer. |
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| | For up-to-date information, see the [https://talks.cs.umd.edu/lists/7 UMD CS Talks page]. (You can also subscribe to the calendar there.) |
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| == 10/10/2012: Beyond MaltParser - Advances in Transition-Based Dependency Parsing == | | === Colloquium Recordings === |
| '''Speaker:''' Joakim Nivre, Uppsala University / Google<br/>
| | * [[Colloqium Recording (Fall 2020)|Fall 2020]] |
| '''Time:''' Wednesday, October 10, 2012, 11:00 AM<br/>
| | * [[Colloqium Recording (Spring 2021)|Spring 2021]] |
| '''Venue:''' AVW 3258<br/>
| | * [[Colloqium Recording (Fall 2021)|Fall 2021]] |
| | * [[Colloqium Recording (Spring 2022)|Spring 2022]] |
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| '''Abstract:''' The transition-based approach to dependency parsing has become
| | === Previous Talks === |
| popular thanks to its simplicity and efficiency. Systems like MaltParser
| | * [[https://talks.cs.umd.edu/lists/7?range=past Past talks, 2013 - present]] |
| achieve linear-time parsing with projective dependency trees using locally
| | * [[CLIP Colloquium (Spring 2012)|Spring 2012]] [[CLIP Colloquium (Fall 2011)|Fall 2011]] [[CLIP Colloquium (Spring 2011)|Spring 2011]] [[CLIP Colloquium (Fall 2010)|Fall 2010]] |
| trained classifiers to predict the next parsing action and greedy best-first
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| search to retrieve the optimal parse tree, assuming that the input sentence has
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| been morphologically disambiguated using a part-of-speech tagger. In this talk,
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| I survey recent developments in transition-based dependency parsing that address
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| some of the limitations of the basic transition-based approach. First, I show
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| how globally trained classifiers and beam search can be used to mitigate error
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| propagation and enable richer feature representations. Secondly, I discuss
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| different methods for extending the coverage to non-projective trees, which are
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| required for linguistic adequacy in many languages.Finally, I present a
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| model for joint tagging and parsing that leads to improvements in both tagging
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| and parsing accuracy as compared to the standard pipeline approach.
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| '''About the Speaker:''' Joakim Nivre is Professor of Computational Linguistics at Uppsala
| | == CLIP NEWS == |
| University and currently visiting scientist at Google, New York. He holds a
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| Ph.D. in General Linguistics from the University of Gothenburg and a Ph.D. in
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| Computer Science from Växjö University. Joakim's research focuses on data-driven
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| methods for natural language processing, in particular for syntactic and semantic analysis. He is one of the main developers of the transition-based
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| approach to syntactic dependency parsing, described in his 2006 book Inductive
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| Dependency Parsing and implemented in the MaltParser system. Joakim?s current
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| research interests include the analysis of mildly non-projective dependency
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| structures, the integration of morphological and syntactic processing for richly
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| inflected languages, and methods for cross-framework parser evaluation. He has
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| produced over 150 scientific publications, including 3 books, and has given
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| nearly 70 invited talks at conferences and institutions around the world. He is
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| the current secretary of the European Chapter of the Association for
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| Computational Linguistics.
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| '''Host:''' Hal Daume III, hal@umd.edu
| | * News about CLIP researchers on the UMIACS website [http://www.umiacs.umd.edu/about-us/news] |
| | | * Please follow us on Twitter @ClipUmd[https://twitter.com/ClipUmd?lang=en] |
| == 10/03/2012: Shay Cohen ==
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| == 09/19/2012: Earl Wagner ==
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| == 09/12/2012: 5 Minute Madness (Part II) ==
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| == 09/05/2012: 5 Minute Madness (Part I) ==
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| == 08/20/2012: TopSig – Signature Files Revisited ==
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| '''Speaker:''' Shlomo Geva, Queensland University of Technology, Australia<br/>
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| '''Time:''' Monday, August 20, 2012, 11:00 AM<br/>
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| '''Venue:''' AVW 2120<br/>
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| '''Abstract:''' Performance comparisons between File Signatures and Inverted
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| Files for text retrieval have previously shown several
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| significant shortcomings of file signatures relative to inverted
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| files. The inverted file approach underpins most state-of-the-art
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| search engine algorithms, such as Language and Probabilistic
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| models. It has been widely accepted that traditional
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| file signatures are inferior alternatives to inverted files. This
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| paper describes TopSig, a modern approach to the construction
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| of file signatures - many advances in semantic hashing and
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| dimensionality reduction have been made in recent times,
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| but these were not so far linked to general purpose, signature
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| file based, search engines. This paper introduces a different
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| signature file approach that builds upon and extends
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| these recent advances. We are able to demonstrate significant
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| improvements in the performance of signature file based
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| indexing and retrieval, performance that is comparable to
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| that of state of the art inverted file based systems, including
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| Language models and BM25. These findings suggest that
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| file signatures offer a viable alternative to inverted files in
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| suitable settings and position the file signature model in
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| the class of Vector Space retrieval models.
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| TopSig is an open-source search engine from QUT and it can be discussed too if there is an interest.
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| '''About the Speaker:''' Associate Professor Shlomo Geva is the discipline leader for
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| Computational Intelligence and Signal Processing in the Computer
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| Science Department at the Queensland University of Technology in
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| Brisbane, Australia. His research interests include clustering,
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| cross-language information retrieval, focused information retrieval,
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| link discovery, and xml indexing.
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| '''Host:''' Doug Oard, oard@umd.edu
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| == Previous Talks ==
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| * [[CLIP Colloquium (Fall 2012)|Fall 2012]]
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| * [[CLIP Colloquium (Spring 2012)|Spring 2012]]
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| * [[CLIP Colloquium (Fall 2011)|Fall 2011]]
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| * [[CLIP Colloquium (Spring 2011)|Spring 2011]]
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| * [[CLIP Colloquium (Fall 2010)|Fall 2010]]
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