[PDF] Top 20 Frame Semantics for Stance Classification
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Frame Semantics for Stance Classification
... same stance if they are written by the same ...the classification of p? One way would be to combine the con- tent of the posts in SameStancePosts(p) with that of p ... See full document
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Scrutable Feature Sets for Stance Classification
... While not directly comparable, our results also compare well to studies in dialogic stance classification. For example, Anand et al. (2011) achieved a maximum of 69% accuracy using contextual features based ... See full document
10
Toward Stance Classification Based on Claim Microstructures
... ments (Palau and Moens, 2009), microtexts (Peld- szus and Stede, 2015), Wikipedia articles (Aha- roni et al., 2014; Levy et al., 2014; Rinott et al., 2015), student essays (Stab and Gurevych, 2017), and user-generated ... See full document
7
From Argumentation Mining to Stance Classification
... and stance classifica- tion were recently introduced as interesting tasks in text ...stance classification. Additionally, a manually- annotated corpus for stance classification and ... See full document
11
Lost in Translation: Authorship Attribution using Frame Semantics
... The research on authorship attribution is too volu- minous to include; see the excellent surveys (Juola, 2006; Koppel et al., 2008; Stamatatos, 2009) for an overview of the plethora of lexical and syntac- tic markers ... See full document
6
A Joint Sentiment Target Stance Model for Stance Classification in Tweets
... for stance classification using features based on modal verbs and ...user’s stance on the ...the stance of users and stance in ... See full document
10
Structural Approach to Enhancing WordNet with Conceptual Frame Semantics
... 1,875 frame-to-frame rela- tions 5 in FN, the discrepancy in the size of the data is reflected in the limited coverage of the map- pings between synsets and ... See full document
9
BiFrameNet: Bilingual Frame Semantics Resource Construction by Cross lingual Induction
... We use the bilingual lexicon from HowNet and LDC dictionary to first create all possible mappings between FrameNet lexical entries and HowNet concepts whose part-of-speech (POS) tags are the same. Here we assume that ... See full document
7
ConStance: Modeling Annotation Contexts to Improve Stance Classification
... The focus of this work is on improving both the annotation process for nuanced, context- dependent tasks and the use of the resulting labels. While ConStance’s label estimation can be used in conjunction with any ... See full document
10
A Parser for LTAG and Frame Semantics
... and semantics as shown in Figures 5 and ...semantic frame is this time done through the in- terface ( iface ...the frame are paired, the two interfaces are unified, re- sulting in the unification of ... See full document
7
Semantics and the Syntactic Classification of Words
... Semantics and the Syntactic Classification of Words 1969 International Conference on Computational Linguistics 5emantica and the Syntactic Classification of Words E r n s t v o n G l a s e r s f e l d[.] ... See full document
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Postural costs of performing cognitive tasks in non coincident reference frames
... reference frame related issues that arise in posture-cognition dual-tasks, concepts such as selection-for-action [8] would need to be significantly updated before they could be fruitfully applied to dual-tasks ... See full document
255
VigNet: Grounding Language in Graphics using Frame Semantics
... cal semantics, it uses two lexical items (wash and apple) and their interpretation, but for us, since we are interested in grounding, it is a single ...of frame-to-frame relation, ... See full document
9
Simple Open Stance Classification for Rumour Analysis
... the stance that authors hold in re- sponse to claims, ...2013). Stance reflects how certain authors are of a claim’s veracity (Biber, 2006), which enables the effective detection of po- tential false ... See full document
9
Enriching Wikidata with Frame Semantics
... In contrast to the rich frame context (each frame is associated with 13 lexical units on average), prop- erty context is rather poor. This is because a consid- erable part of WD properties has few to no ... See full document
6
Stance Classification using Dialogic Properties of Persuasion
... with the logical relations between them. Second is the SOURCE of the argument (Chaiken, 1980), e.g. the speaker’s expertise, or agreement relations be- tween speakers. The third factor consists of proper- ties of the ... See full document
5
Collective Stance Classification of Posts in Online Debate Forums
... post stance in on- line debate should capture both the content and the context of author ...lective classification, as we further define in Sec- tion 3 (Sen et ...collective classification models ... See full document
9
Emergent: a novel data set for stance classification
... on stance detection, for which the large number of claims in the dataset compared to previous work allows for more reliable assessment of the general- ization capabilities of the methods ...for stance ... See full document
6
Commonsense knowledge enhanced memory network for stance classification
... Main Result The experimental results of the baselines and our proposed model on SemEval dataset are reported in Table 1. First, it is observed that SVM 26 performs better than CNN 24 and LSTM 25 , since SVM trains a ... See full document
10
Using Author Embeddings to Improve Tweet Stance Classification
... the stance to create labels based on com- monly occurring hashtags that were clearly associ- ated with one of these positions (see Table ...no stance-bearing hashtags were excluded from our ... See full document
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