from structuredriven separate semantic

... top-down genera- tots using an integrated semantics cannot occur in the separate- semantics approach. Expansion of grammar rules can be controlled by the semantic representation if each rule application ... describe a ge- nerator using a separate semantics and to suggest a structure-driven strategy that is bascd on a systcm of pattern-action (PA) rules, as they are known from AI production systems ... structure from which the ter- minal string can easily be produced. This new ap- proach allows for a carefully directed and nearly deterministic choice of grammar rules. KEEPING SEMANTICS SEPARATE...

Ngày tải lên: 09/03/2014, 01:20

... 245–248, Suntec, Singapore, 4 August 2009. c 2009 ACL and AFNLP Syntax is from Mars while Semantics from Venus! Insights from Spectral Analysis of Distributional Similarity Networks Chris Biemann Microsoft/Powerset, ... language – as if one is from “Mars” and the other from “Venus”. Indeed, this exploratory work shows that the distributional properties of syntax are quite dif- ferent from those of semantics. Distributional ... of such networks; and (b) a random walk con- ducted on the semantic DSN will have a high ten- dency to drift away very soon from the semantic class of the starting node, whereas in the syntactic DSN,...

Ngày tải lên: 17/03/2014, 02:20

Ngày tải lên: 23/03/2014, 17:20

... đuợc chia thành hai nhóm: nhóm dịch vụ cung cấp ngữ nghĩa (Semantic Provisioning Services -SPS ) và nhóm dịch vụ hiểu ngữ nghĩa (Semantically Aware Grid Services -SAGS). Nhóm dịch vụ SPS chịu ...  IV. PHỤ LỤC PHÂN CÔNG CÔNG VIỆC Đây là bài báo cáo chi tiết của seminar 5 với chủ đề tài Semantic Grid: From Concepts to Implementation” với công việc cụ thể như sau: Nội dung Người thực hiện ... người tr ê c biểu diễn d c đẩy sự ra đ à theo Tim B n ghĩa rõ rà n ả hơn. g cụ để con h ì Semantic trình bày t ó a, được bổ s cho các ph ầ ó . Chẳng hạ n g ian Semant i c ác hệ điều h ...

Ngày tải lên: 07/01/2014, 01:26

... latent semantics from sense definitions to improve elesk. However, the challenge lies in that sense defini- tions are typically too short/sparse for latent vari- able models to learn accurate semantics, ... first to construct a sense similarity by latent semantics of sense definitions. 6 Conclusions We construct a sense similarity wmfvec from the la- tent semantics of sense definitions. Experiment re- sults ... will share the same latent semantics profile, as long as they are in the same topic/domain. To solve the sparsity issue we use missing words as negative evidence of latent semantics, as in (Guo and...

Ngày tải lên: 19/02/2014, 19:20

... pages 801–808, Sydney, July 2006. c 2006 Association for Computational Linguistics Semantic Taxonomy Induction from Heterogenous Evidence Rion Snow Computer Science Department Stanford University Stanford, ... (H ij |E H ij ) is then trained using logistic regression, predicting the noun-pair hypernymy label from WordNet from the feature vector of lexico-syntactic patterns. The hypernym classifier described above ... COLING-02. M. Hearst. 1992. Automatic Acquisition of Hyponyms from Large Text Corpora. Proc. COLING-92. D. Hindle. 1990. Noun classification from predicate- argument structures. Proc. ACL-90. D. Lenat....

Ngày tải lên: 20/02/2014, 12:20

... frequencies range from 8 to 31,710. Our target classification is based on semantic in- tuitions, not on our knowledge of the syntactic be- haviour. As an extreme example, the semantic class Support ... reliable enough to serve as proxy for human judgement (Schulte im Walde, 2002a). 3 German Semantic Verb Classes Semantic verb classes have been defined for sev- eral languages, with dominant examples ... probabilities for ns-2. Deleting na or frames containing s from the verb de- scription destroys the coherent clusters. Cluster (c) contains two sub-classes from As- pect and Insistence, polluted by the verb...

Ngày tải lên: 20/02/2014, 21:20

Ngày tải lên: 23/02/2014, 21:20

... the full semantic state for every training example, we have a very small amount of data annotated with semantic states and a larger number of unannotated texts with non- contradictory semantics. We ... language semantics from ambigous supervision. In Association for the Advancement of Artificial In- telligence (AAAI), pages 895–900. Percy Liang, Michael I. Jordan, and Dan Klein. 2009. Learning semantic ... (aspects) of the full semantic state, yet statements about the same aspects must not contradict each other. Simulta- neous inference of the semantic state for the non- contradictory and semantically overlapping...

Ngày tải lên: 07/03/2014, 22:20

... NO-REL. train/test split from Table 1 and the feature sets: Syntactic The syntactic features from Section 4. Semantic The semantic features from Section 4. All Both syntactic and semantic features. All+Tmp ... of syntactic and semantic features performing 5 points better (43.6% precision and 55.8% recall) than either feature set individually. This suggests that our syn- tactic and semantic features ... 177–180, Columbus, Ohio, USA, June 2008. c 2008 Association for Computational Linguistics Learning Semantic Links from a Corpus of Parallel Temporal and Causal Relations Steven Bethard Institute for Cognitive...

Ngày tải lên: 08/03/2014, 01:20

... Supervised Learning of Semantic Knowledge from Query Logs. IJC- NLP, pages 358–365. M. Pas¸ca and B. V. Durme. 2007. What You Seek is What You Get: Extraction of Class Attributes from Query Logs. IJCAI-07, ... algorithm of search engines. 5 Conclusion We have proposed a method called Quetchup to learn semantic categories from search click- through logs using Laplacian label propagation. The proposed method ... nodes. 3 Quetchup 3 Algorithm In this section, we describe an algorithm for learning semantic categories from search logs us- ing label propagation. We name the algorithm Quetchup. 3.1 Semi-supervised...

Ngày tải lên: 08/03/2014, 01:20

... induce a set of relevant semantic patterns with variable lengths (from 2 to k). Let 1 ( , , ) s eed R s pcc= be a seed pattern of length R, and 1 ( , , ) S s pc c= be a semantic pattern of ... set, of which 39 sentences contain a semantic pattern of length two, 21 sen- tences contain a semantic pattern of length three, and 9 sentences contain a semantic pattern of length four. The ... be applied to induce variable-length semantic patterns from all possible combinations of words in the corpora. However, statistical methods may suffer from data sparseness problem, thus they...

Ngày tải lên: 08/03/2014, 02:21

... web. Several techniques for semantic class induction have also been developed specifically for learning from the web. (Pas¸ca, 2004) uses Hearst’s pat- terns (Hearst, 1992) to learn semantic class instances and ... by their semantic lexicon learner were not present in Word- Net. Automatic semantic lexicon acquisition could be used to enhance existing resources such as Word- Net, or to produce semantic lexicons ... methods have been developed for automatic semantic class identification, under the rubrics of lexical acquisition, hyponym acquisition, semantic lexicon induction, semantic class learn- ing, and web-based...

Ngày tải lên: 17/03/2014, 02:20

... word senses and semantic relations are not available from the database (Vieira and Poe- sio, 2000). In recent years, increasing interest has been seen in mining semantic relations from large text ... to obtain the semantic relatedness information. The evaluation on ACE data set shows that the pattern based semantic information is helpful for coreference resolution. 1 Introduction Semantic relatedness ... the same entity should have a certain semantic relation. To obtain this semantic information, previ- ous work on reference resolution usually leverages a semantic lexicon like WordNet (Vieira...

Ngày tải lên: 17/03/2014, 04:20

... Rebecca. 2004. Inducing Semantic Frames from Lexical Resources. Ph.D. dissertation, University of Maryland. Green, Rebecca and Bonnie J. Dorr. 2004. Inducing A Semantic Frame Lexicon from WordNet Data. ... resnik}@umiacs.umd.edu Abstract This paper presents SemFrame, a system that induces frame semantic verb classes from WordNet and LDOCE. Semantic frames are thought to have significant potential in resolving the ... precision (based on SemFrame verbs’ semantic relatedness to frame-evoking verbs). The next best performing semantic verb classes achieve 56.9% recall and 55.0% precision. 1 Introduction Semantic content can...

Ngày tải lên: 17/03/2014, 06:20

... have focused on simulating semantic prim- ing studies. The semantic priming paradigm pro- vides a natural test bed for semantic space models as it concentrates on the semantic similarity or dis- similarity ... traditional semantic space models. The Tukey test revealed that category coordination is reliably distinguished from all other relations and that phrasal association is re- liably different from antonymy ... ranging from similarity judgements (McDonald, 2000) to semantic priming (Lund and Burgess, 1996; Lowe and McDonald, 2000) and text comprehension (Landauer and Dumais, 1997). In this approach semantic...

Ngày tải lên: 17/03/2014, 06:20

Ngày tải lên: 17/03/2014, 07:20

Ngày tải lên: 17/03/2014, 07:20

Ngày tải lên: 17/03/2014, 08:20

Ngày tải lên: 17/03/2014, 09:20