[PDF] Top 20 Automatic Domain Assignment for Word Sense Alignment
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Automatic Domain Assignment for Word Sense Alignment
... classifier, Word Sense Disambiguation and rules for assigning WN Domains to nominal sense descriptions of a lexicographic dictionary, the Senso Comune De Mauro ...The assignment of do- main ... See full document
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Automatic Determination of a Domain Adaptation Method for Word Sense Disambiguation Using Decision Tree Learning
... data. Word senses were anno- tated in these corpora according to a Japanese dic- tionary, ...for sense IDs, and we used the fine-level sense in the experi- ...24 word types for white papers ... See full document
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Automatic Domain Adaptation for Word Sense Disambiguation Based on Comparison of Multiple Classifiers
... Tur (2009) proposed a co-adaptation algorithm where both co-training and DA techniques were used to improve the performance of the model. The research by (Blitzer et al., 2006) involved work on semi-supervised DA, where ... See full document
9
Domain Kernels for Word Sense Disambiguation
... a Domain Model (DM) for the lexicon ...representing domain associations among terms), and we exploit this information in- side our supervised WSD ... See full document
8
Essentia: Mining Domain specific Paraphrases with Word Alignment Graphs
... Collecting and curating a database of paraphrases is a costly and time-consuming task in general. Although there are existing techniques to collect paraphrase pairs from crowd-workers more effi- ciently and with lower ... See full document
6
Integrating Knowledge for Subjectivity Sense Labeling
... to automatic subjectivity word sense labeling which combines features exploiting the hierarchical struc- ture and domain information of WordNet, as well as similarity of glosses and overlap ... See full document
9
Fine Grained Word Sense Disambiguation Based on Parallel Corpora, Word Alignment, Word Clustering and Aligned Wordnets
... involving sense clustering based on translation equivalents, as discussed in (Ide, et ...target word will also typically contain several occurrences that have already been assigned a ...frequent ... See full document
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A Comparison of Knowledge based Algorithms for Graded Word Sense Assignment
... a sense frequencies baseline, whose sense frequencies have been estimated on SemCor and the training part of Senseval-3 (minus the sentences used in WSsim-1), while the lower part of the table shows the ... See full document
10
Unsupervised Domain Tuning to Improve Word Sense Disambiguation
... use sense paraphrases to estimate prob- abilities of senses and carry out ...predominant sense of a word from a corpus from the same domain increases performance (over using a predominant ... See full document
5
A Possibilistic Approach for Automatic Word Sense Disambiguation
... Audibert [15] worked on Reymond's dictionary to study different criteria of disambiguation (co-occurrence, domain information, synonyms of co-occurring words and so on). In the same perspective, Véronis, [17] used ... See full document
15
High Performance Word Sense Alignment by Joint Modeling of Sense Distance and Gloss Similarity
... in automatic WSA (Hart- mann and Gurevych, ...express sense similarity has not been thoroughly explored yet, and it seems a promising direction to make further progress in ...an alignment of more ... See full document
12
Estimating Class Priors in Domain Adaptation for Word Sense Disambiguation
... the sense priors in the target ...each sense of interest occurring in WSJ and showed that these estimates help to improve WSD ...the sense priors of each word in the target ... See full document
8
Graded Word Sense Assignment
... One way of addressing the problem of low inter- annotator agreement and system performance is to create an inventory that is coarse-grained enough for humans and computers to do the job reli- ably (Ide and Wilks, 2006; ... See full document
10
Dijkstra WSA: A Graph Based Approach to Word Sense Alignment
... target sense, but all senses which can be reached with a certain number of ...different sense granu- larities, one coarser sense in A can be represented by several senses in B and vice versa (see ... See full document
14
Domain Adaptation with Active Learning for Word Sense Disambiguation
... form domain adaptation of WSD systems to new do- ...in sense priors (i.e., the proportions of the different senses of a word) between BC and ...the sense pri- ors of each word in BC and ... See full document
8
Unsupervised Domain Relevance Estimation for Word Sense Disambiguation
... the Domain Driven Disambiguation frame- work, showing a significant improvement on the overall system ...of domain rel- ...being domain annotation language inde- ... See full document
8
Automatic WordNet Mapping Using Word Sense Disambiguation
... To evaluate the performance of WordNet mapping, the candidate synsets of 3260 senses of Korean words in bilingual dictionary was manually classified as linking or discarding... We define[r] ... See full document
6
Word Sense Induction: Triplet Based Clustering and Automatic Evaluation
... ther word by the new pseudoword ...to sense #1 (banana) instead of #2 ...target word and refer to its different ...the word banana might have co- occurrences such as apple, fruit, coconut, ... See full document
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Protein subfamily assignment using the Conserved Domain Database
... each domain to be the lowest self-hit score to that domain among all of its sequences in the benchmark ..."full alignment", as NCBI-curated hierarchies in CDD tend to present a finer-grained ... See full document
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