Results for similarity task
SOPA: Random Forests Regression for the Semantic Textual Similarity task
... The idea behind this selection process is that learn- ing sentence similarities on a specific type of text will increase the accuracy of predictions on text with similar characteristics: image descriptions are usually ...
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SemEval 2014 Task 3: Cross Level Semantic Similarity
... new similarity task, Cross- Level Semantic Similarity, for measuring the se- mantic similarity of lexical items of different ...the results of Task 3 are highly encouraging and ...
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An approach to the use of word embeddings in a textual similarity task for Spanish texts
... the results in tasks focused on the semantic similarity of ...of similarity of two texts, one based on the aggregation of vectors and the other one based on the calculation of ...the ...
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Sbdlrhmn: A Rule based Human Interpretation System for Semantic Textual Similarity Task
... In contrast to the shortest path measure, WUP measure increased the P versus the D scores on the three corpora. This overestimated many training STS scores and negatively affected the correlation with the gold standard ...
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Extending Monolingual Semantic Textual Similarity Task to Multiple Cross lingual Settings
... textual similarity (STS) task setting to multiple cross-lingual settings involving English, Japanese, and ...“monolingual similarity after translation” strategy to predict the semantic ...
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The effects of task similarity on the attention limitations in dual task performance.
... present results indicate, then careful consideration should be given to the choice of a secondary task and also to the inferences drawn on the relative attention demands of specific stages of information ...
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Comparison of Similarity Models for the Relation Discovery Task
... present results on the relation discov- ery task, which addresses some of the shortcomings of supervised relation ex- traction by applying minimally supervised ...and similarity measures across six ...
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How task demands influence scanpath similarity in a sequential number-search task.
... higher similarity scores in the set size and noise level conditions when the task became ...the results section that this is not simply due to extended fixation durations overall, since the general ...
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Task Oriented Intrinsic Evaluation of Semantic Textual Similarity
... 2.2 Impact of the Evaluation Measure on the Ranking The evaluation measure of the intrinsic evaluation of STS systems can have a huge impact on the ranking of different STS systems. For the SemEval 2012 shared ...
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*SEM 2013 shared task: Semantic Textual Similarity
... core task CORE similar to the STS 2012 task, and a new pilot on typed-similarity ...TYPED task characterizes, for the first time, the reasons why two items are deemed simi- ...The ...
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BUCC Shared Task: Cross Language Document Similarity
... For each run, success@1 is the strictest mea- sure, hence provides the lowest score, because it can only obtain points if the top ranked article is the correct one. Mean reciprocal rank (MRR) yields the same score when ...
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VRep at SemEval 2016 Task 1 and Task 2: A System for Interpretable Semantic Similarity
... Analysis of the test data indicated that the ad- dition of these extra components was unnecessary, however to further analyze their contributions three runs were submitted for the both tasks 1 and 2. Run 1 used the basic ...
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Evaluation of Several Phonetic Similarity Algorithms on the Task of Cognate Identification
... 5.4 Discussion The results in Table 1 strongly suggest that the learning approaches are more effective than the manually-designed schemes for cognate identifica- tion. However, it has to be remembered that the ...
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SemEval 2016 Task 2: Interpretable Semantic Textual Similarity
... 6 Results Table 2 provides the overall type and score (+TS) performance per dataset, and the mean accross the three ...datasets. Results for Headlines, Images and Answer-Students datasets are shown in the ...
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SemEval 2014 Task 10: Multilingual Semantic Textual Similarity
... 3 Evaluation Evaluation of STS is still an open issue. STS experiments have traditionally used Pearson product-moment correlation between the system scores and the GS scores, or, alternatively, Spear- man rank order ...
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Results of the WMT16 Tuning Shared Task
... 3.2 NRC-MEANT and NRC-NNBLEU NRC-MEANT is a system tuned against MEANT (Lo et al., 2015) using batch MIRA with an additional length penalty to avoid semantic parsing unreasonably long MT output. Due to the additional ...
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Visualizing Web Search Results on the Basis of Snippet Similarity
... the results of web ...important task to many ...based similarity measure which takes the following three cases into account: a) The feature appears in both documents, b) the feature appears in only ...
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Cross linguistic similarity and task demands in Japanese English bilingual processing
... cross-linguistic similarity measures and the sensitivity of mixed-effects modeling to this, we get a more detailed picture of how overlap influences the production of ...S similarity were not significant by ...
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SemEval 2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)
... shared task, we present evaluations on two related tasks Paraphrase Identification (PI) and Semantic Textual Similarity (SS) sys- tems for the Twitter ...The task features a newly constructed Twitter ...
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UoW: Multi task Learning Gaussian Process for Semantic Textual Similarity
... In other words, the feature vectors have the same number of features (34): 13 simple features and 21 SoA features. However, for Spanish the SoA fea- tures are set to 0 in training and testing. The moti- vation to use SoA ...
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