[PDF] Top 20 Semantic Parsing using Distributional Semantics and Probabilistic Logic
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Semantic Parsing using Distributional Semantics and Probabilistic Logic
... Markov Logic Network (MLN) (Richardson and Domingos, 2006) is a framework for probabilis- tic logic that employ weighted formulas in first- order logic to compactly encode complex undi- rected ... See full document
5
On the Proper Treatment of Quantifiers in Probabilistic Logic Semantics
... language semantics are becoming more fine-grained, like Textual Entailment (Dagan et ...2013), Semantic Parsing (Kwiatkowski et ...by logic-based ...of logic-based ...uncertain, ... See full document
11
Probabilistic Distributional Semantics with Latent Variable Models
... the parsing model must explain the parse tree structure as well as the choice of lexical items; another is that in the selectional preference models described here each head–dependent relation is treated as an ... See full document
46
A Probabilistic Generative Grammar for Semantic Parsing
... efficient semantic parsing is a long-standing goal in natural language pro- ...the semantics or the type of each to- ken in a set (Zettlemoyer and Collins, 2005, 2007; Kwiatkowski et ... See full document
12
Probabilistic Frame Semantic Parsing
... Target identification is the problem of deciding which word tokens (or word token sequences) evoke frames in a given sentence. In other semantic role labeling schemes (e.g. PropBank), simple part-of- speech ... See full document
9
Formal Distributional Semantics: Introduction to the Special Issue
... truth-functional logic (Grefenstette 2013); (b) a mapping function from a distributional semantics space to some heavily underspecified form of a “model-theoretic” space (Herbelot and Vecchi 2015); ... See full document
17
Replacing OOV Words For Dependency Parsing With Distributional Semantics
... Lexical information is an important fea- ture in syntactic processing like part-of- speech (POS) tagging and dependency parsing. However, there is no such in- formation available for out-of-vocabulary (OOV) words, ... See full document
9
Proceedings of the 11th International Conference on Computational Semantics
... language semantics, and in this year’s meeting we have a good representative subset ...lexical, probabilistic, and distributional semantics (8 papers in total); on the other side, there are ... See full document
16
A Markovian approach to distributional semantics with application to semantic compositionality
... In natural languages, sentences are formed by the composition of simpler elements: words. It is thus reasonable to assume that the meaning of a sentence is determined by combining the meanings of its parts and the ... See full document
10
Probabilistic Domain Modelling With Contextualized Distributional Semantic Vectors
... the probabilistic model using standard tech- ...of distributional semantics to NLP tasks need not be confined to lexical ...modern distributional semantic methods incorporated ... See full document
10
A Logic of Semantic Representations for Shallow Parsing
... (2001) rather than the qeq relation from Copestake et al. (2005). This is partly because dominance is the weaker relation: If a dependency parser links a determiner to a noun and this noun to a verb, then we can use ... See full document
9
Distributional semantic phrases vs. semantic distributional nonsense: Adjective Modification in Compositional Distributional Semantics
... Color terms. This dataset is populated with a randomly selected set of adjective- noun pairs from the space presented above. From the 11 colors in the basic set proposed by Berlin & Kay (1969), we cover 7 (black, ... See full document
129
A modular approach to defining and characterising notions of simulation
... a logic for T-coalgebras. The syntax and semantics of the induced logic are then obtained by successive applications of the language con- structor and of the associated semantics, ...the ... See full document
42
Probabilistic Soft Logic for Semantic Textual Similarity
... combined logic- based and distributional framework as Beltagy et ...Markov Logic Networks with Probabilistic Soft Logic (PSL) (Kimmig et ...bilistic logic framework designed to ... See full document
10
FLEXIBLE SHARING IN DHT BASED P2P NETWORKS USING METADATA OF RESOURCE
... and using the definition of epistemic equivalent to an agent between two abstract states, the corresponding equivalent relations can be deduced and which can be used to combine the abstract states, therefore, the ... See full document
11
Learning Compositional Semantics for Open Domain Semantic Parsing
... However, an increasingly popular line of work has emerged in the last few years on using probabilistic and corpus-based methods for semantics as well. Much of this work makes use of the semantically ... See full document
18
Notion of Semantics in Computer Science A Systematic Literature Review
... of semantics in Computer Science (CSE) ...of semantics has been used and represented, and 2) to surface its publication pattern in ...on semantics in CSE, and sug- gest such semantics focus as ... See full document
10
ROLE OF ONTOLOGY IN SEMANTIC WEB MINING
... of semantic web mining is from artificial intelligence. The Semantic Web vision given by Tim Berners-Lee ...the Semantic Web is ...of semantic technologies from closed intranets to the open ... See full document
8
10th International Conference on Computational Linguistics and 22nd Annual Meeting of the Association for Computational Linguistics
... Parsing and Semantics A Computational Analysis of Complex Noun Phrases in Navy Messages Elaine Marsh Another Look at Nominal Compounds Pierre Isabelle Semantic Parsing as Graph Language [r] ... See full document
16
Integrating Semantic Analysis into Syntactic Parsing: Combining Categorial Grammar and Frame Semantics
... and semantic components are both independent of each other and intertwined ...a parsing method that can skip one while parsing the ...and semantic structures ...a semantic category ... See full document
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