Search Results for author: Marina Litvak

Found 31 papers, 3 papers with code

Detection of Negative Campaign in Israeli Municipal Elections

1 code implementation TRAC (COLING) 2022 Marina Litvak, Natalia Vanetik, Sagiv Talker, Or Machlouf

Our contribution is multi-fold: (1) We provide TONIC—daTaset fOr Negative polItical Campaign in Hebrew—which consists of annotated posts from Facebook related to Israeli municipal elections; (2) We introduce results of a case study, that explored several research questions.

Transfer Learning

SCE-SUMMARY at the FNS 2020 shared task

no code implementations FNP (COLING) 2020 Marina Litvak, Natalia Vanetik, Zvi Puchinsky

This paper reports an approach for summarizing financial texts, which are different from the documents from other domains at least in three parameters: length, structure, and format.

The Financial Narrative Summarisation Shared Task (FNS 2020)

no code implementations FNP (COLING) 2020 Mahmoud El-Haj, Ahmed Abura’Ed, Marina Litvak, Nikiforos Pittaras, George Giannakopoulos

This paper presents the results and findings of the Financial Narrative Summarisation shared task (FNS 2020) on summarising UK annual reports.

Offensive language detection in Hebrew: can other languages help?

no code implementations LREC 2022 Marina Litvak, Natalia Vanetik, Chaya Liebeskind, Omar Hmdia, Rizek Abu Madeghem

Therefore, automated detection of offensive language is in high demand and it is a serious challenge in multilingual domains.

An Interactive Analysis of User-reported Long COVID Symptoms using Twitter Data

no code implementations WIT (ACL) 2022 Lin Miao, Mark Last, Marina Litvak

With millions of documented recoveries from COVID-19 worldwide, various long-term sequelae have been observed in a large group of survivors.

Hierarchical summarization of financial reports with RUNNER

no code implementations FNP (COLING) 2020 Marina Litvak, Natalia Vanetik, Zvi Puchinsky

This paper reports an approach for summarizing financial texts, which are different from the documents from other domains at least in three parameters: length, structure, and format.

Just ClozE! A Fast and Simple Method for Evaluating the Factual Consistency in Abstractive Summarization

no code implementations6 Oct 2022 Yiyang Li, Lei LI, Qing Yang, Marina Litvak, Natalia Vanetik, Dingxin Hu, Yuze Li, Yanquan Zhou, Dongliang Xu, Xuanyu Zhang

We demonstrate that ClozE can reduce the evaluation time by nearly 96$\%$ relative to QA-based metrics while retaining their interpretability and performance through experiments on six human-annotated datasets and a meta-evaluation benchmark GO FIGURE \citep{gabriel2020go}.

Abstractive Text Summarization Language Modelling +1

Subjective Bias in Abstractive Summarization

1 code implementation18 Jun 2021 Lei LI, Wei Liu, Marina Litvak, Natalia Vanetik, Jiacheng Pei, Yinan Liu, Siya Qi

Due to the subjectivity of the summarization, it is a good practice to have more than one gold summary for each training document.

Abstractive Text Summarization

Detecting Troll Tweets in a Bilingual Corpus

no code implementations LREC 2020 Lin Miao, Mark Last, Marina Litvak

This paper aims to detect troll tweets in both English and Russian assuming that the tweets are generated by some {``}troll farm.

Authorship Verification Feature Engineering +3

HEvAS: Headline Evaluation and Analysis System

no code implementations RANLP 2019 Marina Litvak, Natalia Vanetik, Itzhak Eretz Kdosha

We introduce the Headline Evaluation and Analysis System (HEvAS) that performs automatic evaluation of systems in terms of a quality of the generated headlines.

Headline generation Informativeness

RANLP 2019 Multilingual Headline Generation Task Overview

no code implementations RANLP 2019 Marina Litvak, John M. Conroy, Peter A. Rankel

The task measures the performance of multilingual headline generation systems using the Wikipedia and Wikinews articles in multiple languages.

Headline generation

MultiLing 2017 Overview

no code implementations WS 2017 George Giannakopoulos, John Conroy, Jeff Kubina, Peter A. Rankel, Elena Lloret, Josef Steinberger, Marina Litvak, Benoit Favre

In this brief report we present an overview of the MultiLing 2017 effort and workshop, as implemented within EACL 2017.

Document Summarization

Query-based summarization using MDL principle

no code implementations WS 2017 Marina Litvak, Natalia Vanetik

Query-based text summarization is aimed at extracting essential information that answers the query from original text.

Extractive Summarization Language Modelling +1

What's up on Twitter? Catch up with TWIST!

no code implementations COLING 2016 Marina Litvak, Natalia Vanetik, Efi Levi, Michael Roistacher

Event detection and analysis with respect to public opinions and sentiments in social media is a broad and well-addressed research topic.

Event Detection Sentiment Analysis

Social and linguistic behavior and its correlation to trait empathy

no code implementations WS 2016 Marina Litvak, Jahna Otterbacher, Chee Siang Ang, David Atkins

A growing body of research exploits social media behaviors to gauge psychological character-istics, though trait empathy has received little attention.

regression

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