[PDF] Top 20 Distributional Term Set Expansion
Has 10000 "Distributional Term Set Expansion" found on our website. Below are the top 20 most common "Distributional Term Set Expansion".
Distributional Term Set Expansion
... iterative distributional term set expansion, with the aim of identify- ing a best practice for using distributional models to expand term ...for term set ... See full document
5
Learning to Bootstrap for Entity Set Expansion
... Adaptive distributional pattern embeddings combined with ...the distributional vector of the basic DPE, resulting in an Adaptive Distributional Pattern Embedding ...the distributional ... See full document
10
Turning Distributional Thesauri into Word Vectors for Synonym Extraction and Expansion
... formed an intrinsic evaluation relying on the syn- onyms of WordNet 3.0 (Miller, 1990) as Gold Standard. This choice was first justified by our overall long-term perspective, illustrated in Sec- tion 5, which is ... See full document
11
The expansion of public health insurance in Mexico: health, financial and distributional effects
... consumption levels, but also with short-term consumption growth. Likewise, households that gained public insurance through the SP may have unobservable characteristics that also affect consumption choices. ... See full document
198
Expansion of medical vocabularies using distributional semantics on Japanese patient blogs
... such term co-occurrence can, for instance, be probabilistic, such as in Brown clustering [51], or spatial models [52], in which term co-occurrences are given a geometric representation in the form of a ... See full document
18
From Global to Local Similarities: A Graph Based Contextualization Method using Distributional Thesauri
... for term similarity, we introduce a new con- textualization method that generates, for each term occurrence in a text, a ranked list of terms that are semantically similar and compatible with the given ... See full document
5
RELPRON: A Relative Clause Evaluation Data Set for Compositional Distributional Semantics
... Table 5 shows the results for the baseline methods, using Count, Count-SVD, and Skip- Gram vectors. The highest MAP score for all three types of vectors is achieved with vector addition, adding the vectors for head noun, ... See full document
41
Term Set Expansion based NLP Architect by Intel AI Lab
... make set expansion more robust, we aim to combine multi-context ...candidate term should be part of the expanded set based on ten similarity scores (considered as input features) obtained by ... See full document
6
Entity Set Expansion using Interactive Topic Information
... Although unsupervised topic information has been confirmed to be effective, the topic models and target entity sometimes demonstrate grain mis- match. To avoid this mismatch, we refine the topic models to match the ... See full document
9
Think Globally, Apply Locally: Using Distributional Characteristics for Hindi Named Entity Identification
... One shortcoming of current approaches is that they do not leverage on global distributional char- acteristics of words (e.g., Information Content, Term Co-occurrence statistics, etc.) when a large corpus ... See full document
10
Finding Medical Term Variations using Parallel Corpora and Distributional Similarity
... of distributional similarity can be used to extract medical term vari- ations from aligned parallel ...data set and using the same PoS ...of term variations using straight- forward and fully ... See full document
10
Nonlinear Evidence Fusion and Propagation for Hyponymy Relation Mining
... ing term similarity information to help instance ...a term having its private labels (consid- ering the case that one meaning of a term is not covered by the input semantic ...single term ... See full document
10
Distributional Similarity vs PU Learning for Entity Set Expansion
... The positive examples in SP are called “spies”. Then, a NB classifier is built using the set P– SP as positive and the set U∪SP as negative (line 3, 4, and 5). The NB classifier is applied to classify each ... See full document
6
SetExpander: End to end Term Set Expansion Based on Multi Context Term Embeddings
... Term set expansion is the task of expanding a given partial set of terms into a more complete set of terms that belong to the same semantic ...partial set of personal assistant ... See full document
5
Multi Context Term Embeddings: the Use Case of Corpus based Term Set Expansion
... candidate term should be part of the expanded set based on 10 similarity scores (considered as input features), using the above 2 different scoring methods for each of the 5 context ...multi-context ... See full document
7
Web Scale Distributional Similarity and Entity Set Expansion
... Intuitively, some seeds are better than others. We study the impact of seed selection effect by in- specting the system performance for several ran- domly selected seed sets of fixed size and we find that seed set ... See full document
10
Dispersive waves and caustics
... and applies to the integration over The classical stationary phase technique which a to and over by the integral Each term in this expansion is multiplied expansion.. [17,18], resulting [r] ... See full document
15
Prospect of Emission Reduction Standard for Sustainable Port Equipment Electrification
... These will be the primary equipment expansion upon which the model simulates for a systematic electrification of existing port equipments. Rubber-tired gantries (RTG) and prime movers (EPM) are phased-out and ... See full document
9
Approximation Algorithms for Hypergraph Small-Set Expansion and Small-Set Vertex Expansion
... Small-Set Expansion in graphs has attracted a lot of attention ...a set of size O(δ n) with expansion O( p φ ∗ d log(1/δ )) in d regular graphs (where φ ∗ is the expansion of the ... See full document
25
Approximating distributional behaviour of LTI differential systems using Gaussian function and its derivatives
... In this paper, a methodology has been proposed for approx- imating the distributional trajectory that transfers the state of a linear differential system in (almost) zero time by using the impulse-function and its ... See full document
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