Home Catalogue search

eng

Refine your search:

Search in the Catalogues and Directories






	Sort by
Simple Search

Hits 1 – 18 of 18

1	Mark my words! Linguistic style accommodation in social media
	Cristian Danescu-niculescu-mizil; Michael Gamon; Susan Dumais
	In: http://www.cs.cornell.edu/~cristian/papers/accommodation.pdf (2011)
	BASE
	Show details

2	Similarity measures for short segments of text
	Donald Metzler; Susan Dumais; Christopher Meek
	In: http://research.microsoft.com/~sdumais/ecir07-metzlerdumaismeek-final.pdf (2007)
	BASE
	Show details

3	Similarity measures for short segments of text
	Donald Metzler; Susan Dumais; Christopher Meek
	In: http://ciir.cs.umass.edu/~metzler/metzler_186.pdf (2007)
	BASE
	Show details

4	Web Question Answering: Is More Always Better?
	Susan Dumais; Michele Banko; Eric Brill...
	In: http://www.ai.mit.edu/people/jimmylin/papers/Dumais02.pdf (2002)
	BASE
	Show details

5	Web question answering: Is more always better
	Susan Dumais; Michele Banko; Eric Brill...
	In: http://www.egr.msu.edu/~jchai/QAPapers/Microsoft-SIGIR02.pdf (2002)
	BASE
	Show details

6	Web question answering: is more always better
	Susan Dumais; Michele Banko; Eric Brill...
	In: http://nlp.cs.swarthmore.edu/~richardw/papers/dumais2002-web.pdf (2002)
	BASE
	Show details

7	An analysis of the AskMSR question-answering system
	Eric Brill; Susan Dumais; Michele Banko
	In: http://plaza.ufl.edu/hfilip/Brill.pdf (2002)
	BASE
	Show details

8	AskMSR: Question Answering Using the Worldwide Web
	Michele Banko; Eric Brill; Susan Dumais...
	In: http://www.ai.mit.edu/people/jimmylin/publications/Banko-etal-AAAI02.ps (2002)
	BASE
	Show details

9	Web Question Answering: Is More Always Better?
	Susan Dumais; Michele Banko; Eric Brill...
	In: http://www.ai.mit.edu/people/jimmylin/publications/Dumais-etal-SIGIR02.ps (2002)
	BASE
	Show details

10	AskMSR: Question Answering Using the Worldwide Web
	Michele Banko; Eric Brill; Susan Dumais...
	In: http://www.ai.mit.edu/people/jimmylin/papers/Banko02.pdf (2002)
	BASE
	Show details

11	An Analysis of the AskMSR Question-Answering System
	Eric Brill; Susan Dumais; Michele Banko
	In: http://research.microsoft.com/~sdumais/EMNLP_Final.pdf (2002)
	BASE
	Show details

12	An analysis of the AskMSR question-answering system
	Eric Brill; Susan Dumais; Michele Banko
	In: http://www.cs.fiu.edu/~vagelis/classes/COP6776/publications/EMNLP2002.pdf (2002)
	BASE
	Show details

13	Automatic 3-Language Cross-Language Information Retrieval with Latent Semantic Indexing
	Bob Rehder; Michael L. Littman; Susan Dumais...
	In: http://www.cpe.ku.ac.th/~arnon/trec6_papers/trec6_18.ps.gz (1998)
	BASE
	Show details

14	Automatic Cross-Linguistic Information Retrieval using Latent Semantic Indexing
	Susan Dumais; Thomas K. Landauer; Michael L. Littman
	In: http://superbook.bellcore.com/~std/papers/SIGIR96.ps (1997)
	BASE
	Show details

15	Mark My Words! Linguistic Style Accommodation in Social Media
	Cristian Danescu-niculescu-mizil; Michael Gamon; Susan Dumais
	In: http://www.www2011india.com/proceeding/proceedings/p745.pdf
	BASE
	Show details

16	Categories and Subject Descriptors
	Susan Dumais; Michele Banko; Eric Brill...
	In: http://research.microsoft.com/~sdumais/SIGIR2002-QARevised.pdf
	BASE
	Show details

17	Mark my words! Linguistic
	Cristian Danescu-niculescu-mizil; Michael Gamon; Susan Dumais
	In: http://research.microsoft.com/en-us/um/people/sdumais/fr862-danescu-niculescu-mizil.pdf
	BASE
	Show details

18	Categories and Subject Descriptors
	Susan Dumais; Michele Banko; Eric Brill; Jimmy Lin; Andrew Ng
	In: http://www.umiacs.umd.edu/~jimmylin/publications/Dumais_etal_SIGIR2002.pdf
	Abstract: This paper describes a question answering system that is designed to capitalize on the tremendous amount of data that is now available online. Most question answering systems use a wide variety of linguistic resources. We focus instead on the redundancy available in large corpora as an important resource. We use this redundancy to simplify the query rewrites that we need to use, and to support answer mining from returned snippets. Our system performs quite well given the simplicity of the techniques being utilized. Experimental results show that question answering accuracy can be greatly improved by analyzing more and more matching passages. Simple passage ranking and n-gram extraction techniques work well in our system making it efficient to use with many backend retrieval engines.
	URL: http://www.umiacs.umd.edu/~jimmylin/publications/Dumais_etal_SIGIR2002.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.4873
	BASE
	Hide details

© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern