[PDF] Top 20 From Argumentation Mining to Stance Classification
Has 10000 "From Argumentation Mining to Stance Classification" found on our website. Below are the top 20 most common "From Argumentation Mining to Stance Classification".
From Argumentation Mining to Stance Classification
... not be directly related to our target study. In this case study, we are interested in comments for which their opinion target is mammography/ breast can- cer screening/the BMJ article. For instance, if the comment is ... See full document
11
Toward Stance Classification Based on Claim Microstructures
... of argumentation mining (Moens, 2014; Lippi and Torroni, ...structured argumentation, the ability to analyze claims is crucial for tasks such as stance classi- fication (Anand et ...opinion ... See full document
7
Neural End to End Learning for Computational Argumentation Mining
... and classification), which is a typical entity recog- nition problem for which BIO tagging is a stan- dard approach, pursued in AM, ...apart from each other, neural sequence tagging models are in prin- ... See full document
12
A Joint Sentiment Target Stance Model for Stance Classification in Tweets
... the stance expressed in online microblogging social media is an emerging problem in opinion ...to stance classification in tweets, which models stance, target of stance, and sentiment ... See full document
10
Scrutable Feature Sets for Stance Classification
... on stance clas- sification have focused on the use of dialogic structure between posts (Anand et ...of stance classification from monologic posts, using the dataset created by Somasundaran and ... See full document
10
A News Editorial Corpus for Mining Argumentation Strategies
... clear classification setting, we decided to assign exactly one type to each unit, though, and to give the annototators guidelines about what type to prefer in what ...Aside from that, we observed rather low ... See full document
11
Cross Target Stance Classification with Self Attention Networks
... In this layer, we implement the idea of discover- ing domain-specific aspects for cross-target stance inference. In particular, the key observation we make is that the domain aspects that reflect users’ major ... See full document
6
Using Argument Mining to Assess the Argumentation Quality of Essays
... Our focus is the analysis of argumentative structure. Related structures have been analyzed before: To measure text coherence, Feng et al. (2014) build on discourse structure (Mann and Thompson, 1988), which is connected ... See full document
12
Towards relation based Argumentation Mining
... This leads to the second challenge in building models that we can use in our applications: We need to decide how to represent the sentence pairs. Here, we have two options. We may either choose a Bag- of-Words (BOW) ... See full document
6
Gradual Argumentation Evaluation for Stance Aggregation in Automated Fake News Detection
... inspiration from uses of relation-based argument mining (Carstens and Toni, 2015) to generate and evaluate bipolar argumentation frameworks (BAFs) (Cayrol and Lagasquie-Schiex, 2005) in order to ... See full document
11
Collective Stance Classification of Posts in Online Debate Forums
... identifying argumentation structure improves performance; their best performance is approxi- mately 64% accuracy over all ...speaker’s stance in a corpus of congressional floor ... See full document
9
Emergent: a novel data set for stance classification
... triples from the claim and the article head- line (typically one in each) and matched them as ...tracted from PPDB the following labels: equiva- lence, forwardEntailment, backwardEntailment, in- dependence ... See full document
6
Simple Open Stance Classification for Rumour Analysis
... step classification task – first distinguishing between comments and non-comments and then classifying non-comment tweets as one of sup- port, deny or ...where classification was ob- tained through majority ... See full document
9
Stance Classification using Dialogic Properties of Persuasion
... tures with χ 2 feature selection; we use JRIP as the base classifier because margins are used by the auto- matic MaxCut graph orientation algorithm. Exper- iments with different learners (NB, SVM) did not yield ... See full document
5
STANCY: Stance Classification Based on Consistency Cues
... them from different perspectives. Stance classification is a necessary step for inferring these perspectives in terms of supporting or opposing the ...for stance classification ... See full document
6
Emergent: a novel data-set for stance classification
... on stance detection of an article with respect to the claim using the head- line provided by the ...dump from the developers of Emergent and extracted all claims and associ- ated article ...available ... See full document
6
Simple Open Stance Classification for Rumour Analysis
... Stance classification determines the atti- tude, or stance, in a (typically short) ...efficient classification approach to open stance classification in Twitter, for ru- mour and ... See full document
9
Commonsense knowledge enhanced memory network for stance classification
... example from the test set, and show the word and KG attention scores obtained by textual memory and KG memory modules respectively in Figure ...of stance classification mainly by capturing the ... See full document
10
Stance Classification in Online Debates by Recognizing Users’ Intentions
... Online debate forums provide a rich col- lection of differing opinions on vari- ous topics. In dual-sided debates, users present their opinions or judge other’s opinions to support their stance. In this paper, we ... See full document
9
End to End Argumentation Mining in Student Essays
... The second problem with the pipeline approach is that errors made early on in the pipeline propa- gate. For instance, assume that a Support relation exists between two argument components in a test essay. If the pipeline ... See full document
11
Related subjects