[PDF] Top 20 Sentence and Clause Level Emotion Annotation, Detection, and Classification in a Multi Genre Corpus

... the sentence level for various types of emo- ...each sentence parse tree, we extract the labels, SBAR, SBARQ, ...Treebank’s clause labels of the parse trees (Marcus et ...single clause. ... See full document

... in emotion detection and ...build emotion clas- sification models, and successful results have been ...the emotion model we ...generalize detection of ...of emotion words, ... See full document

... new annotation workflow was implemented for an annotation efficiency increase of ...distinctive annotation stages (POS tagging and Treebanking) were decomposed into five self-contained steps: ... See full document

... automatic emotion-based classification of ...the genre of fiction, with only sentence-level emotion annotations; they do not focus on context of emotion in a ... See full document

... human annotation and ...for sentence level dialect identification and studied the ef- fects of preprocessing techniques on classifier ...the annotation of Arabic corpora through the creation ... See full document

... the detection of different discussion topics, the subjective phrases present and subse- quently their classification according to ...multilingual corpus of blog posts on different topics of interest ... See full document

... allel corpus, namely the OPUS movie subtitles corpus (Tiedemann, 2012; Lison and Tiedemann, ...ing emotion classes: anger, anticipation, disgust, joy, fear, sadness, surprise, and ...the ... See full document

... lead to largest loss in performance when removed from the set of all features. The best scoring clas- sifier is Random Forest, which based on structural features achieves an F1-score of 94%. The best overall result is ... See full document

... We also found that the size of the training set matters significantly. Each domain employs a cer- tain number of domain specific hedge cues along with domain general cues. While it is easy enough to learn the domain ... See full document

... generated emotion lexicons from the train- ing data, such as lex nf, lex f and lex tfidf, TET achieves significantly better results compared to lex ...of emotion categories and the differences of the data ... See full document

... The most relevant work is the email corpus an- notated by Dredze et al. (Dredze et al., 2008a; Dredze et al., 2008b). 2391 emails from inboxes of 4 volunteers were included. Each volunteer manually annotated ... See full document

... The main contribution of this paper is an auto- matic methodology for metric validation in GEC called MAEGE (Methodology for Automatic Eval- uation of GEC Evaluation), which addresses these difficulties. MAEGE requires ... See full document

... From an NLP perspective, the two universal problems for processing language that affect the performance of (usually statistically motivated) NLP tools and tasks are: (1) sparseness in the data where not enough instances ... See full document

... 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 ... See full document

... + genre weights system for different subsets of the news and patent test ...document level: on average, the improve- ment over the baseline increases when proceeding further into the ... See full document

... high level of variation and ambigui- ty in disease names, the task of retrieving disease-related articles becomes increasingly challenging using the traditional keyword- based ...disease corpus consisting ... See full document

... a sentence like modifier and noun agreement, subject/object and verb agreement, noun and adjective agreement, noun phrase in oblique form before postposition ...independent clause must grammatically agree ... See full document

... all sentence level annota- tions were converted into one sentence class only, the primary class (defined as the first sentence level annotation class, ...a sentence was ... See full document

... Sentiment analysis is often approached by first lo- cating the relevant, sentiment-bearing sentences. Traditionally, one has distinguished between sub- jective and objective sentences, where only the former were linked ... See full document

... Figure 7 compares the performance of different approaches to sentence-level emotion classifica- tion with the context dependence only. From this figure, we can see that our DFG approach consist- ... See full document