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Found 32 papers, 2 papers with code
Starting Conversations with Search Engines -- Interfaces that Elicit Natural Language Queries
Search systems on the Web rely on user input to generate relevant results.
Dataset of Natural Language Queries for E-Commerce
Shopping online is more and more frequent in our everyday life.
Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic
In this paper, we introduce a fine-grained annotated misinformation tweets dataset including social behaviours annotation (e. g. comment or question to the misinformation).
Identification of Good and Bad News on Twitter
We also perform a comparative analysis with sentiments showing that sentiment alone is not enough to distinguish between good and bad news.
SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours
Rumour verification is characterised by the need to consider evolving conversations and news updates to reach a verdict on a rumour{'}s veracity.
Information Nutrition Labels: A Plugin for Online News Evaluation
This paper discusses the choice of the labels, their implementation and visualization.
Can Rumour Stance Alone Predict Veracity?
Prior manual studies of rumours suggested that crowd stance can give insights into the actual rumour veracity.
An Extensible Multilingual Open Source Lemmatizer
The performance drops when there is no support from HFST and the entire lemmatization process is based on lemma dictionaries.
Projection of Argumentative Corpora from Source to Target Languages
Argumentative corpora are costly to create and are available in only few languages with English dominating the area.
What works and what does not: Classifier and feature analysis for argument mining
This paper offers a comparative analysis of the performance of different supervised machine learning methods and feature sets on argument mining tasks.
Simple Open Stance Classification for Rumour Analysis
Stance classification determines the attitude, or stance, in a (typically short) text.
Automatic Summarization of Online Debates
In our work, we investigate two different clustering approaches for the generation of the summaries.
Gold Standard Online Debates Summaries and First Experiments Towards Automatic Summarization of Online Debate Data
In this paper, we collected and annotated debate data for an automatic summarization task.
Detection and Resolution of Rumours in Social Media: A Survey
Despite the increasing use of social media platforms for information and news gathering, its unmoderated nature often leads to the emergence and spread of rumours, i. e. pieces of information that are unverified at the time of posting.
What's the Issue Here?: Task-based Evaluation of Reader Comment Summarization Systems
Second, we define a task-based evaluation framework for reader comment summarization that allows summarization systems to be assessed in terms of how well they support users in a time-limited task of identifying issues and characterising opinion on issues in comments.
Creation of comparable corpora for English-Urdu, Arabic, Persian
To overcome the low availability of parallel resources the machine translation community has recognized the potential of using comparable resources as training data.
Bootstrapping Term Extractors for Multiple Languages
Terminology extraction resources are needed for a wide range of human language technology applications, including knowledge management, information extraction, semantic search, cross-language information retrieval and automatic and assisted translation.
Bilingual dictionaries for all EU languages
In this work we present three different methods for cleaning noise from automatically generated bilingual dictionaries: LLR, pivot and translation based approach.
Collecting and Using Comparable Corpora for Statistical Machine Translation
Lack of sufficient parallel data for many languages and domains is currently one of the major obstacles to further advancement of automated translation.
Assessing Crowdsourcing Quality through Objective Tasks
For each run we assessed the results provided by 25 workers on a set of 10 tasks.
A Corpus of Spontaneous Multi-party Conversation in Bosnian Serbo-Croatian and British English
In this paper we present a corpus of audio and video recordings of spontaneous, face-to-face multi-party conversation in two languages.
Correlation between Similarity Measures for Inter-Language Linked Wikipedia Articles
In this work, we investigate the correlation between similarity measures utilising language-independent and language-dependent features and respective human judgments.
A light way to collect comparable corpora from the Web
In this work we aim to reduce the amount of time and resources spent for tasks 1 and 2.
