Báo cáo khoa học: "Fully Unsupervised Core-Adjunct Argument Classification" pot

... present a fully unsupervised al- gorithm for core-adjunct classification. We utilize leading fully unsupervised grammar induction and POS induction algorithms. We focus on preposi- tional arguments, ... Science The Hebrew University arir@cs.huji.ac.il Abstract The core-adjunct argument distinction is a basic one in the theory of argument struc- ture. The task of distinguishing betw...

Ngày tải lên: 30/03/2014, 21:20

... 232–239, Prague, Czech Republic, June 2007. c 2007 Association for Computational Linguistics Fully Unsupervised Discovery of Concept-Specific Relationships by Web Mining Dmitry Davidov ICNC The Hebrew ... Dorow, 2002; Pantel et al, 2004; Davidov and Rappoport, 2006) it has been shown that relatively unsupervised and language-independent methods could be used to generate many thousands of...

Ngày tải lên: 23/03/2014, 18:20

... description length provides a useful estimate of segmentation quality in fully unsupervised settings. However, since the space of potential segmentations grows ex- ponentially with the length of the corpus, ... Introduction The goal of unsupervised word segmentation is to discover correct word boundaries in natural lan- guage corpora where explicit boundaries are absent. Often, unsupervi...

Ngày tải lên: 30/03/2014, 21:20

... have designed and developed URES (Unsupervised Relation Extraction System) which learns a set of patterns to extract relations from the web in a totally unsupervised way. The system takes ... information extraction from becoming more widely applicable. In this paper we present URES (Unsupervised Relation Extraction System), which extracts rela- tions from the Web in a totally ......

Ngày tải lên: 23/03/2014, 18:20

... Goldsmith, 2001. Unsupervised Learning of the Morphology of a Natural Language. Computational Linguistics, 27(2):153–198. Sharon Goldwater and Tom Griffiths, 2007. Fully Bayesian Approach to Unsupervised ... SIAM, 5(1):32–38. Sujith Ravi and Kevin Knight, 2009. Minimized Mod- els for Unsupervised Part-of-Speech Tagging. ACL ’09. Roi Reichart and Ari Rappoport, 2008. Unsupervised Induct...

Ngày tải lên: 20/02/2014, 04:20

... Meet- ing of the Association for Computational Linguistics, pages 531–540. Carl de Marcken. 1996. Unsupervised Language Acqui- sition. Ph.D. thesis, Massachusetts Institute of Tech- nology. John ... 632–641, Portland, Oregon, June 19-24, 2011. c 2011 Association for Computational Linguistics An Unsupervised Model for Joint Phrase Alignment and Extraction Graham Neubig 1,2 Taro Watanabe 2...

Ngày tải lên: 20/02/2014, 04:20

... (McClosky et al., 2006) or unsupervised parsing, training entirely on unan- notated text. The past few years have seen considerable im- provement in the performance of unsupervised parsers (Klein ... allowing evalua- tion of the parser on standard treebanks. To achieve completely unsupervised parsing, standard unsupervised parsers, working from part- of-speech sequences, need first to...

Ngày tải lên: 20/02/2014, 12:20

... general, we hypothe- size that lexical item pairs can provide clues about the discourse relations that hold between the text spans in which the lexical items occur. To test this hypothesis, we ... Admiralty Way, Suite 1001 Marina del Rey, CA, 90292 marcu,echihabi @isi.edu Abstract We present an unsupervised approach to recognizing discourse relations of CON- TRAST, EXPLANATION-EVIDENCE, CON...

Ngày tải lên: 20/02/2014, 21:20

... 105–108, Ann Arbor, June 2005. c 2005 Association for Computational Linguistics SenseClusters: Unsupervised Clustering and Labeling of Similar Contexts Anagha Kulkarni and Ted Pedersen Department ... units of text (referred to as contexts) that are similar to each other using lexical features and unsupervised clustering. Our initial work (Purandare and Pedersen, 2004) focused on word sen...

Ngày tải lên: 08/03/2014, 04:22

... unsupervised corpus-based approach to prepositional phrase attachment that outperforms previous unsupervised techniques and approaches the performance of supervised methods. Unlike previous unsupervised ... 81.6% CL BR supervised 81.9% CL CB supervised 84.5% CL SN supervised 88.1% CL HR unsupervised 75.8% CL R2 unsupervised 81.91% CL PL unsupervised 84.31% Table 10. Accuracy of ou...

Ngày tải lên: 08/03/2014, 05:20