sentence level
Sentence level Rewriting Detection
... the sentence level. Sentence alignment is the first step of our method; fur- ther inferences about revision changes are then based on the alignments ...on sentence alignment for monolingual ...
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RiskFinder: A Sentence level Risk Detector for Financial Reports
... Framing negative or high-risk information through negations of positive financial sentiment words is prevalent among the drafters of financial corpora. Such type of expression could alleviate the adverse effect on market ...
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Improving Peer Feedback Prediction: The Sentence Level is Right
... the sentence that ac- tually specifies the solution is highlighted in ...a sentence-level model for predicting feedback type in a diagram review ...the level of feedback comments (text of each ...
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Assessing Quality Estimation Models for Sentence-Level Prediction
... Given that there are many powerful regression models, it is tempting to have an understanding of which sentence-level QE models we should use. Prior work has been attempted to provide an answer (e.g. see ...
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Investigating Statistical Techniques for Sentence Level Event Classification
... The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Sum- marisation. In this paper, we treat event detection as ...
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A Systematic Comparison of Smoothing Techniques for Sentence Level BLEU
... BLEU is the de facto standard machine translation (MT) evaluation metric. How- ever, because BLEU computes a geo- metric mean of n-gram precisions, it of- ten correlates poorly with human judg- ment on the ...
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Learning with Noisy Labels for Sentence level Sentiment Classification
... It is well known that sentiment annotation or la- beling is subjective (Liu, 2012). Annotators often have many disagreements. This is especially so for crowd-workers who are not well trained. That is why one always feels ...
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A Novel Discriminative Framework for Sentence Level Discourse Analysis
... a sentence-level DT from a document-level DT by finding the subtree that exactly spans over the ...our sentence-level corpora for discourse ...any sentence in our dis- course ...
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Aggregated Probabilistic Fuzzy Relational Sentence Level Expectation Maximization Clustering Algorithm for Efficient Text Categorization
... every sentence to get accurate outcome. The sentence gets the maximum relevance of belonging to a class can get the ...The sentence level text classification is performed very ...score ...
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Enhanced Sentence-Level Text Clustering using Semantic Sentence Similarity from Different Aspects
... Abstract: Sentence clustering plays a significant role in many textprocessing ...integrate sentence clustering into extractive multidocument summarization useful to address issues of content overlap, ...
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GLEU: Automatic Evaluation of Sentence Level Fluency
... poor sentence-level evaluation proposed by Kulesza and Shieber (2004) is to use a Support Vector Machine, using features such as word error rate, to estimate sentence-level translation ...
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Fitting Sentence Level Translation Evaluation with Many Dense Features
... the sentence level into a linear model that is trained on ranking we can obtain state-of-the-art re- ...human sentence level ranking and to learn the right relation between precision and ...
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Towards Annotating and Creating Summary Highlights at Sub sentence Level
... Highlighting is a powerful tool to pick out im- portant content and emphasize. Creating sum- mary highlights at the sub-sentence level is particularly desirable, because sub-sentences are more concise than ...
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Cross Domain Modeling of Sentence Level Evidence for Document Retrieval
... This paper applies BERT to ad hoc document retrieval on news articles, which requires ad- dressing two challenges: relevance judgments in existing test collections are typically pro- vided only at the document ...
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Sentence Level Fluency Evaluation: References Help, But Can Be Spared!
... Motivated by recent findings on the proba- bilistic modeling of acceptability judgments, we propose syntactic log-odds ratio (SLOR), a normalized language model score, as a met- ric for referenceless fluency evaluation ...
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Sentence level Emotion Classification with Label and Context Dependence
... classification, sentence-level emotion classi- fication is prone to the data sparseness problem because a sentence normally contains much less ...a sentence, it is often difficult to predict ...
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Sentence Level Quality Estimation for MT System Combination
... This paper provides the system description of the Dublin City University system combination module for our participation in the system combination task in the Second Workshop on Apply- ing Machine Learning Techniques to ...
10
Negation Handling in Sentiment Analysis at Sentence Level
... of sentence level sentiment analysis, the polarities of the sentences selected in Section ...each sentence is already determined using the proposed negation handling ...whole sentence. Table 2 ...
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Sentence Level Agreement for Neural Machine Translation
... source sentence and the target ...word- level. In this paper, we propose a sentence- level agreement module to directly minimize the difference between the representation of source and target ...
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Sentence Level Dialect Identification in Arabic
... the level of preprocessing on the underlying LM on the performance of the overall sentence level dialect identification pro- cess: (1) Surface, (2) Tokenized, (3) CODAfied, and (4) ...following ...
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