[PDF] Top 20 N Semantic Classes are Harder than Two
Has 10000 "N Semantic Classes are Harder than Two" found on our website. Below are the top 20 most common "N Semantic Classes are Harder than Two".
N Semantic Classes are Harder than Two
... From the same TREC corpus we extracted known synonym, known hyponym, known coordi- nate, known meronym, and known holonym pairs. Each of these classes is defined analogously to the known hypernym class; we ... See full document
8
Finding a heaviest vertex weighted triangle is not harder than matrix multiplication
... between two vertices in G a,b if the corresponding cliques are disjoint and induce the clique in G whose size equals the sum of their ...( n 2 f +2 ...( n 2 × ( n f ) ω ∗ ... See full document
15
Addition is exponentially harder than counting for shallow monotone circuits
... 2 N ) monotone circuit composed of fan-in two AND/OR gates ...log N and replace each majority gate by a O(log N )-depth fan- in-two AND/OR Boolean ... See full document
26
Open quantum systems are harder to track than open classical systems
... size than that expected based on the heuristic of ...apply two powerful software packages (MAGMA [23] and PHCpack [24]) to PREs that respectively take advantage of Gr¨ obner basis [25] and polyno- mial ... See full document
35
Semantic Equivalence Detection: Are Interrogatives Harder than Declaratives?
... these two operational definitions of semantic equivalence, for declaratives and for ...rarefied than between the declara- tive ...these two illustrative pairs of examples thus strongly ... See full document
6
Acquisition of Semantic Classes for Adjectives from Distributional Evidence
... Linguistics, two of which had done research on adjectives), who had to classify each adjective as either unary or binary, on the one hand, and ei- ther basic, event or object-denoting, on the ...to semantic ... See full document
7
On WordNet Semantic Classes and Dependency Parsing
... Net’s semantic file (SF) are unevenly distributed between the sentences that contain POS errors and those that do not (an increase of ...the semantic information is orthogonal to the POS, giving similar ... See full document
7
Semantic annotation of French corpora: animacy and verb semantic classes
... Following the terminology of Artstein and Poesio (2008), we report agreement in terms of Fleiss Multi-π (also known as Carletta’s kappa (Carletta, 1996)) and Multi-κ (general- ization of Cohen’s (Cohen, 1960)), in order ... See full document
5
Redefining part of speech classes with distributional semantic models
... patterns in English: nouns can be modified by both (it seems that cases where a proper noun is mis- taken for an adjective are often caused by the same factor). Words like ‘materialist_NOUN’, ‘star- board_NOUN’ or ... See full document
11
Improving Dependency Parsing with Semantic Classes
... of semantic representations used in Agirre et ...unique semantic file ...coarse-grained semantic representation, respec- ...these two representations, knife in its tool sense is in the ... See full document
5
Learning Semantic Classes for Word Sense Disambiguation
... dictionary. Two basic approaches have been tried as solu- tions to the lack of training data, namely unsu- pervised systems and semi-supervised bootstrapping ...- N ET (Fellbaum, 1998), and so ... See full document
8
Experiments on the Automatic Induction of German Semantic Verb Classes
... of semantic concept: The more verb clusters are found, the more specific the semantic concept, and vice ...the two well-known instances q = 1 (Manhattan distance) and q = 2 (Euclidean ... See full document
36
Verbs Taking Clausal and Non Finite Arguments as Signals of Modality – Revisiting the Issue of Meaning Grounded in Syntax
... more than 600 German AO- selecting verbs and induce semantic classes based on findings from formal semantics about corre- spondences between verb syntax and ...the classes, along with a ... See full document
12
Improving Hypernymy Extraction with Distributional Semantic Classes
... We used two crowdsourcing tasks based on word intruder detection (Chang et al., 2009) to measure how humans per- ceive the extracted lexical-semantic structures. Namely, the tasks are designed to evaluate ... See full document
11
Semantic embeddings of generic objects for zero-shot learning
... visual classes, such as their part ...but two different observations suggest otherwise: First, no graph embed- ding outperform the trivial solution; second, BabelNet is a much larger knowledge graph ... See full document
14
Semi Supervised Semantic Tagging of Conversational Understanding using Markov Topic Regression
... and semantic tags. First, it encodes the n-gram context features from the labeled source data and the unla- beled target data as prior information to learn se- mantic classes based on ...latent ... See full document
10
Discovering Semantic Classes for Urdu N V Complex Predicates
... In this paper, we focus on the combinatorial possibilities in N-V complex predicates. In N-V complex predicates the noun contains the main predicational content. The verb, usually referred to as the light ... See full document
5
Unsupervised structured semantic inference for spoken dialog reservation tasks
... tent semantic structure hidden in the user utter- ance: what is the object affected by a given pred- icate ? What are the modifiers that may alter the meaning of a predicate ? Without such a structure, the system ... See full document
9
Two Classes of Genes in Plants
... the two classes of genes is far from trivial for two ...plants than in angiosperms, but also in vertebrates (Duret et ...larger than that in ... See full document
7
Antibacterial Activity Of Seaweed Gymnogongrus sp) Extract Against Salmonella typhimurium, Escherichia coli and Bacillus subtilis
... lower than Sormin (2012)[10] reported that the yield of hexane extract from Porphyra marcosii seaweed is ...these two seaweeds are grouped red algae that grow at the same time and habitat, but the shape of ... See full document
7
Related subjects