11 citations · 21 across the 10 of their papers we have counts for
11 papers
Dialogues of Dissent: Thematic and Rhetorical Dimensions of Hate and Counter-Hate Speech in Social Media Conversations
Effi Levi, Gal Ron, Odelia Oshri +1
We introduce a novel multi-labeled scheme for joint annotation of hate and counter-hate speech in social media conversations, categorizing hate and counter-hate messages into thema…
Exploring Factual Entailment with NLI: A News Media Study
Guy Mor-Lan, Effi Levi
We explore the relationship between factuality and Natural Language Inference (NLI) by introducing FactRel -- a novel annotation scheme that models \textit{factual} rather than \te…
IsraParlTweet: The Israeli Parliamentary and Twitter Resource
Guy Mor-Lan, Effi Levi, Tamir Sheafer +1
We introduce IsraParlTweet, a new linked corpus of Hebrew-language parliamentary discussions from the Knesset (Israeli Parliament) between the years 1992-2023 and Twitter posts mad…
Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora
Dror K. Markus, Effi Levi, Tamir Sheafer +1
Media Storms, dramatic outbursts of attention to a story, are central components of media dynamics and the attention landscape. Despite their significance, there has been little sy…
Factoring Hate Speech: A New Annotation Framework to Study Hate Speech in Social Media
Gal Ron, Effi Levi, Odelia Oshri +1
In this work we propose a novel annotation scheme which factors hate speech into five separate discursive categories. To evaluate our scheme, we construct a corpus of over 2.9M Twi…
Detecting Narrative Elements in Informational Text
Effi Levi, Guy Mor, Tamir Sheafer +1
Automatic extraction of narrative elements from text, combining narrative theories with computational models, has been receiving increasing attention over the last few years. Previ…
A Decomposition-Based Approach for Evaluating and Analyzing Inter-Annotator Disagreement
Effi Levi, Ari Rappoport, Shaul R. Shenhav
We propose a novel method to conceptually decompose an existing annotation into separate levels, allowing the analysis of inter-annotators disagreement in each level separately. We…
CompRes: A Dataset for Narrative Structure in News
Effi Levi, Guy Mor, Shaul Shenhav +1
This paper addresses the task of automatically detecting narrative structures in raw texts. Previous works have utilized the oral narrative theory by Labov and Waletzky to identify…
Computing Word Classes Using Spectral Clustering
Effi Levi, Saggy Herman, Ari Rappoport
Clustering a lexicon of words is a well-studied problem in natural language processing (NLP). Word clusters are used to deal with sparse data in statistical language processing, as…
Behavior-Based Machine-Learning: A Hybrid Approach for Predicting Human Decision Making
Gali Noti, Effi Levi, Yoav Kolumbus +1
A large body of work in behavioral fields attempts to develop models that describe the way people, as opposed to rational agents, make decisions. A recent Choice Prediction Competi…
Edge-Linear First-Order Dependency Parsing with Undirected Minimum Spanning Tree Inference
Effi Levi, Roi Reichart, Ari Rappoport
The run time complexity of state-of-the-art inference algorithms in graph-based dependency parsing is super-linear in the number of input words (n). Recently, pruning algorithms fo…