Báo cáo khoa học: "Practical very large scale CRFs" potx

... BFGS method for large scale optimization. Mathematical Programming, 45:503–528. Gideon Mann, Ryan McDonald, Mehryar Mohri, Nathan Silberman, and Dan Walker. 2009. Efficient large- scale distributed ... implementing this regularization strat- egy. Our experiments demonstrate that very large CRFs can be trained efficiently and that very large models are able to im- prove the accura...

Ngày tải lên: 16/03/2014, 23:20

... integrated these large scale linguistic resources into our natural language understanding system. Client- server architecture was used to make a large volume of lexical information and a large knowledge ... acquisition is a serious bottleneck for natural language understanding systems. For this reason, large- scale linguistic resources have been compiled and made available...

Ngày tải lên: 20/02/2014, 18:20

Ngày tải lên: 09/03/2014, 01:20

... 33–36, Prague, June 2007. c 2007 Association for Computational Linguistics Linguistically Motivated Large- Scale NLP with C&C and Boxer James R. Curran School of Information Technologies University ... to high levels of robustness and efficiency in NLP systems and made linguistically motivated large- scale language processing a possibility (Mat- suzaki et al., 2007; Kaplan et al., 2...

Ngày tải lên: 31/03/2014, 01:20

... substantially. 1 Introduction Every generation system needs a lexicon, and in almost every case, it is acquired anew. Few ef- forts in building a rich, large- scale, and reusable generation ... essential component in a gener- ation system but few efforts have been made to build a rich, large- scale lexicon and make it reusable for different generation applications. In this paper...

Ngày tải lên: 31/03/2014, 04:20

... al., 2001). The inference process is often prohibitively expensive 281 when |Y| is large, as is common in large- scale tasks. This problem can be alleviated by introducing approx- imate inference ... China † {stardust,gblee}@postech.ac.kr ‡ cyl@microsoft.com Abstract This paper presents an efficient inference algo- rithm of conditional random fields (CRFs) for large- scale data. Our key...

Ngày tải lên: 23/03/2014, 17:20

... not true translation but the use of large existing bilingual lexicons for very wide-coverage glossing. We have discovered that the effect of tiling with a large ordered set of detailed equivalences ... context-sensitive glosser, incorporating current techniques for lightweight linguistic analysis based on large- scale lexical resources. We outline a general model for ranking...

Ngày tải lên: 17/03/2014, 07:20

... have a large knowledge base. But heretofore, the knowledge bases in natural language systems have either encoded only a few kinds of knowledge - e.g., sort hier- archies - or facts in only very ... emphasize that this is not a mechanical procedure but a method of discovery that relies on our informed in- tuitions. Since it is largely background knowledge we are after, we can not exp...

Ngày tải lên: 17/03/2014, 19:21

... models is that they can be tedious to build and difficult to maintain, as they can become quite large very quickly as the scope of the grammar increases. One way to address this problem is to write ... adds new feature structures to by instantiating every grammar rule r in , the set of grammar rules. The first step in the instantiation is to unify every combination of daughters with all pos...

Ngày tải lên: 31/03/2014, 04:20

... and Wilfred Phoebe (same processing as be~re; more complex semantic recovery of lacking constituents is necessary). Not very different is the case where "the right conjunct is a verb ~rase ... built of. z Since the number of syntactic categories (and of syntactic rules) is considerably larger than the ntm~ber of node types (6 node types, 22 syntactic categories, 61 rules), then...

Ngày tải lên: 21/02/2014, 20:20