[PDF] Top 20 Machine Translation Evaluation with Textual Entailment Features
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Machine Translation Evaluation with Textual Entailment Features
... of entailment features (R TE ) for each pair of MT hypothesis and reference ...translation. Features are generated in both directions to avoid biases towards short or long ...75 ... See full document
5
Recognizing Textual Entailment using Dependency Analysis and Machine Learning
... an entailment decision (True/False) for each ...lexical features for the input sentence pairs. One of these features is a mismatch feature while the other seven are match ...dependency ... See full document
7
Comparing a Hand crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation
... string-based features, like length of the words, but also BLEU score ...specific features and he showed that ranking achieves higher correlation to human ...the machine-generated translation ... See full document
9
Understanding the Effect of Textual Adversaries in Multimodal Machine Translation
... visual features from unrelated images (Elliott, ...the textual adversaries, all models suffer a significant drop in Meteor score for all types of adversary, with nu- meral replacements producing the largest ... See full document
6
Automatic Evaluation of Summary Using Textual Entailment
... summary evaluation techniques or tools are not fully automatic; they all need some manual ...Using textual entail- ment (TE) the generated summary can be evaluated automatically without any manual ... See full document
8
Building a Textual Entailment Suite for the Evaluation of Automatic Content Scoring Technologies
... and evaluation measures for this application do not currently ...comparative evaluation or progress tracking of this application across ...benchmark evaluation set of items exists with which to ... See full document
8
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... Statistical Machine Translation ...in machine translation between languages with significant word order differences ...Based Machine Translation (EBMT) that translates input text ... See full document
8
Contradiction focused qualitative evaluation of textual entailment
... Furthermore, some of the systems presented in the previous editions of the RTE challenges at- tempted specic strategies to focus on the phe- nomenon of negation. For instance, (Snow et al., 2006) presents a framework for ... See full document
9
Learning the Impact of Machine Translation Evaluation Metrics for Semantic Textual Similarity
... METEOR (Metric for Evaluation of Transla- tion with Explicit ORdering). We use the lat- est version (1.5) of METEOR (Denkowski and Lavie, 2014) that finds alignments between sen- tences based on exact, stem, ... See full document
6
Learning to recognize features of valid textual entailments
... Because full, accurate, open-domain natural lan- guage understanding lies far beyond current capa- bilities, nearly all efforts in this area have sought to extract the maximum mileage from quite lim- ited semantic ... See full document
8
The Contribution of Linguistic Features to Automatic Machine Translation Evaluation
... Insofar as automatic evaluation metrics for ma- chine translation have been proposed, different meta-evaluation frameworks have been gradually introduced. For instance, Papineni et al. (2001) ... See full document
9
Recognizing Partial Textual Entailment
... partial textual entail- ...(complete) textual entailment can be successfully adapted to this ...additional features and more complex fea- ture combination methods, such as weighted sums tuned ... See full document
5
Determining is a relationships for Textual Entailment
... recognizing textual en- tailment are usually complex and ...an entailment determi- nation ...on machine learning clas- sifiers with lexical similarities (Castillo, 2010), non-symmetric causal metrics ... See full document
6
A Study of Machine Learning Algorithms for Recognizing Textual Entailment
... Challenges machine learning algorithms were widely used for the task of recognizing textual entailment (Marneffe et ...of evaluation of ML algorithms (fixing the features) and showing ... See full document
6
Robust Machine Translation Evaluation with Entailment Features
... bidirectional entailment in ...RTE features are designed to distinguish meaning-preserving variation from true divergence and are thus also good predictors in MT ...MT evaluation needs to determine ... See full document
9
Toward Qualitative Evaluation of Textual Entailment Systems
... The method we propose has been tested on a sample of 60 pairs, each decomposed in the corre- sponding monothematic pairs, and using two sys- tems that obtained similar performances in RTE- 5. We show that the main ... See full document
9
Towards Component Based Textual Entailment
... exploiting machine learning techniques with a variety of features, including lexical-syntactic and semantic features ...linguistic features are used, they bring information about a specific ... See full document
5
Text Grouping using Textual Entailment
... various Textual Entailment Challenges, several methods are applied to tackle textual entailment ...for textual inference in which finding a good alignment is separated from evaluating ... See full document
7
A Machine Learning Approach for Recognizing Textual Entailment in Spanish
... net, because it could provide additional semantic information improving our semantic features, and so the performance of our system. Due to being an expensive and not freely available resource, we are avoiding ... See full document
6
Semantic Annotation of Textual Entailment
... MacCartney and Manning (2007)’s system recognizes monotonic relations (or lack thereof) between aligned lexical items in the text and hypothesis and employs a model of compositional semantics to calculate a ... See full document
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