scholarly journals Semi-supervised hierarchical semantic object parsing

Author(s):  
Jalal Mirakhorli ◽  
Hamidreza Amindavar
Author(s):  
Xiaodan Liang ◽  
Xiaohui Shen ◽  
Jiashi Feng ◽  
Liang Lin ◽  
Shuicheng Yan

Author(s):  
Raksha Anand ◽  
John Hart ◽  
Patricia S. Moore ◽  
Sandra B. Chapman

Abstract Purpose: Frontotemporal lobar degeneration (FTLD) encompasses a group of neurodegenerative disorders characterized by gradual and progressive decline in behavior and/or language. Identifying the subtypes of FTLD can be challenging with traditional assessment tools. Growing empirical evidence suggests that language measures might be useful in differentiating FTLD subtypes. Method: In this paper, we examined the performance of five individuals with FTLD (two with frontotemporal dementia, two with semantic dementia, and one with progressive nonfluent aphasia) and 10 cognitively normal older adults on measures of semantic binding (Semantic Object Retrieval Test and semantic problem solving) and abstracted meaning (generation of interpretive statement and proverb interpretation). Results and Conclusion: A differential profile of impairment was observed in the three FTLD subtypes on these four measures. Further examination of these measures in larger groups will establish their clinical utility in differentiating the FTLD subtypes.


2008 ◽  
Vol 41 (10) ◽  
pp. 3244-3250 ◽  
Author(s):  
Jing Li ◽  
Xuelong Li ◽  
Dacheng Tao

Author(s):  
Moritz Tenorth ◽  
Lars Kunze ◽  
Dominik Jain ◽  
Michael Beetz
Keyword(s):  

2018 ◽  
Vol 35 (3) ◽  
pp. 413-461 ◽  
Author(s):  
Nicholas Longenbaugh ◽  
Maria Polinsky

Abstract Modern generative linguistic theory furnishes a variety of general principles that appear to be at work in the grammar of all the world’s languages. One of the most basic and uncontroversial of these principles is that Agree/Move operates according to the constraint Attract Closest, which dictates that the closest suitable goal must be the target for the relevant operation (Rizzi 1990; Chomsky 1995, 2000; Richards 1998). The Polynesian language Niuean (Tongic subgroup, predicate initial word order, ergative-absolutive case system) presents a well known challenge to the universality of {Attract Closest}. The challenge manifests in a variety of distinct constructions in Niuean, but the best known case involves an operation first documented by Seiter (1980), which he terms “raising.” Specifically, Niuean raising appears to license an A-type dependency between the subject position of the matrix clause and the object position of an immediately embedded clause. This is illustrated in (1), where the semantic object of the embedded subjunctive clause, Sione, appears as the syntactic subject of the matrix predicate maeke. (1) To maeke a Sione$_{1}$ [ke lagomatai he ekekafo $t_{1}$]. fut possible abs Sione sbj help erg doctor ‘It’s possible the doctor can help Sione.’ (lit.: Sione is possible that the doctor help [him]) Granting that the filler-gap dependency in (1) is A-type, this is both a clear violation of {Attract closest} (Rizzi 1992; Chomsky 1995; Richards 1998) and a typological anomaly. Our aim in this paper is to argue that such apparent violations of {Attract Closest} are only that. Specifically, we show first that the challenge inherent in Seiter’s raising construction is pervasive throughout the language: in general, objects are accessible to syntactic operations even if the intervening clause-mate subject is also a licit target. In other words, Niuean clause-mate subjects and objects are equally accessible to syntactic operations. Then, we argue that this typologically uncommon equal-accessibility follows from the convergence of several otherwise independently attested operations: (i) a configurational system of case licensing, with a $v$P as the case computation domain; (ii) obligatory object shift to Spec($v$P); (iii) an EPP on T triggering V/VP-raising rather than DP externalization. The resulting basic clause structure is then as below, so that Niuean adheres to standard locality constraints. (2)


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