[PDF] Top 20 Learning Analogies and Semantic Relations
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Learning Analogies and Semantic Relations
... extracting semantic information from machine- readable ...and semantic analysis were used to convert the Longman Dictionary of Contemporary English (LDOCE) into a large Lexical Knowledge Base ...The ... See full document
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Learning Patterns for Building Resources about Semantic Relations in the Medical Domain
... of semantic relations, we used the whole medical EQueR corpus for learning rela- tion patterns (around 16 million words) and applied them to a subset of the corpus built for the Technolangue ATO- ... See full document
7
Using Syntactic and Semantic based Relations for Dialogue Act Recognition
... In contrast to existing systems using mainly lexical features, i.e. words, single markers such as punctuation (Verbree et al., ) or combinations of various features (Stolcke et al., 2000) for the dia- logue act ... See full document
9
Learning Semantic Constraints for the Automatic Discovery of Part Whole Relations
... Although this specialization procedure eliminates a part of the ambiguous examples, there is no guarantee it will work for all the ambiguous examples of this type. This is because the specialization splits the initial ... See full document
8
Similarity of Semantic Relations
... Metaphorical language is very common in our daily life; so common that we are usu- ally unaware of it (Lakoff and Johnson, 1980). Gentner et al. (2001) argue that novel metaphors are understood using analogy, but ... See full document
39
Ontologizing Semantic Relations
... Each conceptual instance can be viewed as a formal specification of the relation at hand. For example, Winston (1983) manually identified six sub-types of the part-of relation: member- collection, component-integral ... See full document
8
Composition of Semantic Relations: Model and Applications
... The SP first uses a combination of state-of-the- art text processing tools, namely, part-of-speech tagging, named entity recognition, syntactic pars- ing and word sense disambiguation. After a can- didate syntactic ... See full document
9
Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns
... We propose a minimally supervised algorithm that uses only one seed example and a recursive lexico- syntactic pattern to learn in bootstrapping fash- ion the selectional restrictions of a large class of semantic ... See full document
10
Improved Representation Learning for Question Answer Matching
... plex semantic relations between questions and ...deep learning models to address passage answer ...complex semantic relations, un- like most previous work that utilizes a sin- gle deep ... See full document
10
Similarity of Semantic Relations
... of semantic relations necessarily employs some implicit notion of re- lational similarity since members of the same class must be relationally similar to some ...into semantic classes in ...neighbor ... See full document
38
Entity Linking Korean Text: An Unsupervised Learning Approach using Semantic Relations
... Our system utilizes relations between entities, which can be said to be a graph-based approach to entity linking. There have been recent research about entity linking that exploit the graph struc- ture of both the ... See full document
10
From efficiency to portability: acquisition of semantic relations by semi supervised machine learning
... ??????? ? ?? ?????? ???????????????????? ???!?"?$#%?& ('*)???+??,?????&? ?& /+??0?1???????? 2???????3??? ?&?4+5?*? +??0?1?!67+?)8??? ??9 ??+???;? ????????????? @BADCFEHG?C(I/J?KML?@ONPL[.] ... See full document
7
Analogical Dialogue Acts: Supporting Learning by Reading Analogies
... To explore the utility of our analogical dialogue acts theory, we implemented a simple computa- tional model which uses ADAs to learn from in- structional texts and answer questions based on what it has learned, ... See full document
9
Unsupervised Learning of Semantic Relation Composition
... composing relations in the field of computational ...extracts semantic representations using syn- tactic structures while Copestake et ...for semantic construction within gram- ...of Semantic ... See full document
10
Mining Inter Entity Semantic Relations Using Improved Transductive Learning
... If all the conditions above are true, the learner can observe the test data and potentially exploit structures in their distribution. In other words, there is really no difference between “unlabeled data” and “test data”, ... See full document
12
Analogy as relational priming:the challenge of self reflection
... multirelational analogies than relational knowl- ...of analogies that very young children (3 to 4 years old and younger) seem competent at, and we produced an emergentist account of how these types of ... See full document
58
The Latent Relation Mapping Engine: Algorithm and Experiments
... Many AI researchers and cognitive scientists have argued that analogy is the core of cognition. The most influential work on computational modeling of analogy-making is Structure Mapping Theory (SMT) and its ... See full document
41
Learning Diachronic Analogies to Analyze Concept Change
... of analogies between concept vocabularies at different points in ...that analogies of the type of “a is to b as c is to d“ can be described by linear relationships between distributional representations of ... See full document
11
Semantic Parsing for Single Relation Question Answering
... When training the CNNSM for the pattern– relation similarity measure, we randomly split the 1.2 million pairs of patterns and relations into two sets: the training set of 1.19 million pairs, and the validation set ... See full document
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