a calculus for semantic

Ngày tải lên: 31/03/2014, 18:20

... logical rules for a fragment of the semantic interpretation (and plan recognition) process. The four simple rules we gave already capture a wide variety of semantic and pragmatic phenomena. ... This has the effect. of concentrating all knowledge about all of an object's names as facts about the best name. Frail will take as input a simple frame representation and translate it ... rule of case relations. Formally, it says that for all syntactic positional relations and all meanings of the head, there must exist a case relation which is the significance of that syntactic...

Ngày tải lên: 21/02/2014, 20:20

... Zbinden, Alan McNaught, Rafael Alc ´ antara, Michael Darsow, Micka ¨ el Guedj, and Michael Ashburner. 2008. ChEBI: a database and ontology for chemical entities of biological interest. Nucleic Acids ... transform syntactic as well as morphological variations of names into a normalized name form. Basic trans- formations can be achieved via pattern match- ing (regular expressions) while for more com- plex ... a major goal of BioNLP is to automatically support humans by means of research in the area of infor- mation retrieval, data mining and information ex- traction. Term identification is of great...

Ngày tải lên: 08/03/2014, 01:20

Ngày tải lên: 31/03/2014, 17:20

... Krugler, Wayne Ward, James H. Martin, and Daniel Juraf- sky. 200 5a. Support vector learning for semantic argument classification. Machine Learning Journal. Sameer Pradhan, Wayne Ward, Kadri Hacioglu, James Martin, ... arguments, Arg0 is the Agent, Arg1 is Patient, etc. ArgM- may indicate adjunct arguments, such as Locative, Temporal. Many researchers (Gildea and Jurafsky, 2002; Pradhan et al., 200 5a) use feature-based ... Predicate Argument Feature space necessity of syntactic parsing for semantic role la- beling. However, the standard flat features cannot model the syntactic information well. A predicate- argument...

Ngày tải lên: 20/02/2014, 12:20

... Martin, and Dan Jurafsky. 200 5a. Support vector learning for semantic argu- ment classification. Machine Learning, 60(1):11– 39. Sameer Pradhan, Wayne Ward, Kadri Hacioglu, James Martin, and Daniel ... to automatically create an annotated corpus in a new language. Although these data are typically quite noisy, they have been used to train automatic systems. For the particular case of transfer ... 29(1):19–51. Sebastian Padó and Mirella Lapata. 2005. Cross- lingual projection of role -semantic information. In Proceedings of HLT/EMNLP 2005. Sameer Pradhan, Kadri Hacioglu, Valerie Krugler, Wayne Ward, James...

Ngày tải lên: 20/02/2014, 12:20

... redundant information. Hence, we will show how to annotate a syntax tree so that various interpretations can be characterized differently. Semantic Tagging A popular linguistic approach to annotate ... R&D Road II, Science-Based Industrial Park Hsinchu, TAIWAN 30077, R.O.C. ABSTRACT In natural language processing, ambiguity res- olution is a central issue, and can be regarded as a ... mantic score measure shows substantial im- provement in structural disambiguation over a syntax-based approach. 1. Introduction In a large natural language processing system, such as a machine...

Ngày tải lên: 20/02/2014, 21:20

... especially those in the narrative domain. Users can create for- mal propositions to represent spans of text, as well as temporal relations and other aspects of narrative. A built-in natural- language ... is that a model with a wider scope is more challenging for anno- tators. For example, part-of-speech tagging is an easier task than PropBank annotation. We believe that careful user interface ... (equivalent to Figure 2) as configured for a particular Aesop fable. 3. The procedure for reading a text for impor- tant named entities, and formally declaring these named entities for the story graph. 4....

Ngày tải lên: 17/03/2014, 02:20

... statistical machine translation ( SMT) community as a way of formalizing syntax-based translation models between natural languages (NL). In generating multiple parse trees in a single deriva- tion, ... parsing is cast as a machine translation task, where an SCFG is used to model the translation of an NL into a formal meaning-representation lan- guage (MRL). Our algorithm, WASP, uses statistical models ... logical forms are in- volved. For example, it should be straightforward to adapt λ-WASP to the NL generation task—all one needs is a decoder that can handle input logical forms. Other tasks that...

Ngày tải lên: 17/03/2014, 04:20

... desirable. FrameNet as a resource for semantic role an- notation. Above, we have asked about the suitabil- ity of FrameNet for semantic role annotation, and our data allow a first, though tentative, ... Extensive Semantic Annotation Katrin Erk and Andrea Kowalski and Sebastian Pad ´ o and Manfred Pinkal Department of Computational Linguistics Saarland University Saarbr¨ucken, Germany {erk, kowalski, ... suit- able resource as annotation basis. FrameNet roles, which are local to particular frames (abstract sit- uations), may be better suited for the annotation task than the “classical” thematic...

Ngày tải lên: 17/03/2014, 06:20

... 2012. c 2012 Association for Computational Linguistics A platform for collaborative semantic annotation Valerio Basile and Johan Bos and Kilian Evang and Noortje Venhuizen {v.basile,johan.bos,k.evang,n.j.venhuizen}@rug.nl Center ... Introduction Data-driven approaches in computational seman- tics are still rare because there are not many large annotated resources that provide empiri- cal information about anaphora, presupposition, scope, ... Venhuizen {v.basile,johan.bos,k.evang,n.j.venhuizen}@rug.nl Center for Language and Cognition Groningen (CLCG) University of Groningen, The Netherlands Abstract Data-driven approaches in computational semantics are not common because there are only few semantically...

Ngày tải lên: 17/03/2014, 22:20

... over baseline), particularly given that, in addition to the manual reference answer facet representation, an automatically extracted approximation of the rep- resentation was a key factor in ... test examples, assigning a Table 1 label for each reference answer facet. We used a variety of linguistic features that as- sess the facets’ similarity via lexical entailment probabilities ... dependency parses are used to align the terms and facet-level information for feature extraction. Remaining details can be found in (Nielsen et al., 200 8a) and are not central to the semantic representation...

Ngày tải lên: 23/03/2014, 17:20

... Sameer Pradhan, Kadri Hacioglu, Valeri Krugler, Wayne Ward, James H. Martin and Daniel Jurafsky. 200 5a. Support vector learning for semantic argument classi- fication. Journal of Machine Learning ... Sameer Pradhan, Wayne Ward, Kadri Hacioglu, James Martin and Daniel Jurafsky. 2005b. Semantic role la- beling using different syntactic views. ACL-2005 Vasin Punyakanok, Dan Roth, Wen-tau ... feature selection for Natu- ral Language processing tasks. ACL-2004 Vladimir N. Vapnik. 1998. Statistical Learning Theory. Wiley Nianwen Xue and Martha Palmer. 2004. Calibrating features for...

Ngày tải lên: 23/03/2014, 18:20

Ngày tải lên: 31/03/2014, 01:20

Ngày tải lên: 31/03/2014, 17:20

Ngày tải lên: 31/03/2014, 20:20

Ngày tải lên: 24/04/2014, 17:20

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Ngày tải lên: 21/09/2012, 11:02

Ngày tải lên: 04/10/2012, 10:02

Ngày tải lên: 04/10/2012, 10:02