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Found 60 papers, 4 papers with code
Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments
This shared taskfocused on three sub-tasks for Tamil, English, and Tamil-English (code-mixed) languages.
Linghub2: Language Resource Discovery Tool for Language Technologies
Language resources are a key component of natural language processing and related research and applications.
NUIG-DSI’s submission to The GEM Benchmark 2021
This paper describes the submission by NUIG-DSI to the GEM benchmark 2021.
NUIG-DSI at the WebNLG+ challenge: Leveraging Transfer Learning for RDF-to-text generation
This paper describes the system submitted by NUIG-DSI to the WebNLG+ challenge 2020 in the RDF-to-text generation task for the English language.
Utilising Knowledge Graph Embeddings for Data-to-Text Generation
Data-to-text generation has recently seen a move away from modular and pipeline architectures towards end-to-end architectures based on neural networks.
Analysing the Correlation between Lexical Ambiguity and Translation Quality in a Multimodal Setting using WordNet
To calculate the ambiguity of a sentence, we extract the ambiguity scores for all nouns based on the number of senses in WordNet.
Enhancing Multiple-Choice Question Answering with Causal Knowledge
To the best of our knowledge, no prior work has explored the efficacy of augmenting pretrained language models with external causal knowledge for multiple-choice causal question answering.
A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning
The approach focuses on generating weakly-supervised annotations by exploiting the strengths of both large language models (LLM) and traditional syntactic dependencies.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
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Inference to the Best Explanation in Large Language Models
While Large Language Models (LLMs) have found success in real-world applications, their underlying explanatory process is still poorly understood.
Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning
Personalized recommendations have a growing importance in direct marketing, which motivates research to enhance customer experiences by knowledge graph (KG) applications.
TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes
To enable this analysis, we enhanced an existing dataset by annotating the data with our defined classes, resulting in a dataset of 8, 881 IWT or multimodal memes in the English language (TrollsWithOpinion dataset).
NUIG at SemEval-2020 Task 12: Pseudo Labelling for Offensive Content Classification
This work is licensed under a Creative Commons Attribution 4. 0 International Licence.
Contextual Modulation for Relation-Level Metaphor Identification
Identifying metaphors in text is very challenging and requires comprehending the underlying comparison.
Adaptation of Word-Level Benchmark Datasets for Relation-Level Metaphor Identification
The majority of current approaches pertaining to metaphor processing concentrate on word-level processing due to data availability.
Evaluation Dataset and Methodology for Extracting Application-Specific Taxonomies from the Wikipedia Knowledge Graph
In this work, we propose an iterative methodology to extract an application-specific gold standard dataset from a knowledge graph and an evaluation framework to comparatively assess the quality of noisy automatically extracted taxonomies.
Multimodal Meme Dataset (MultiOFF) for Identifying Offensive Content in Image and Text
Since there was no publicly available dataset for multimodal offensive meme content detection, we leveraged the memes related to the 2016 U. S. presidential election and created the MultiOFF multimodal meme dataset for offensive content detection dataset.
A Dataset for Troll Classification of TamilMemes
Social media are interactive platforms that facilitate the creation or sharing of information, ideas or other forms of expression among people.
A Term Extraction Approach to Survey Analysis in Health Care
The voice of the customer has for a long time been a key focus of businesses in all domains.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+1
Figure Me Out: A Gold Standard Dataset for Metaphor Interpretation
Metaphor comprehension and understanding is a complex cognitive task that requires interpreting metaphors by grasping the interaction between the meaning of their target and source concepts.
SemEval-2019 Task 9: Suggestion Mining from Online Reviews and Forums
We present the pilot SemEval task on Suggestion Mining.
Polylingual Wordnet
The translation of wordnets is fundamentally complex because of the need to translate all senses of a word including low frequency senses, which is very challenging for current machine translation approaches.
Augmenting Neural Machine Translation with Knowledge Graphs
While neural networks have been used extensively to make substantial progress in the machine translation task, they are known for being heavily dependent on the availability of large amounts of training data.
Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification
Social media{'}s popularity in society and research is gaining momentum and simultaneously increasing the importance of short textual content such as microblogs.
Leveraging News Sentiment to Improve Microblog Sentiment Classification in the Financial Domain
With the rising popularity of social media in the society and in research, analysing texts short in length, such as microblogs, becomes an increasingly important task.
Open Domain Suggestion Mining: Problem Definition and Datasets
We first present an annotation study, and based on our observations propose a formal task definition and annotation procedure for creating benchmark datasets for suggestion mining.
Phrase-Level Metaphor Identification Using Distributed Representations of Word Meaning
Metaphor is an essential element of human cognition which is often used to express ideas and emotions that might be difficult to express using literal language.
Automatic Taxonomy Generation - A Use-Case in the Legal Domain
A key challenge in the legal domain is the adaptation and representation of the legal knowledge expressed through texts, in order for legal practitioners and researchers to access this information easier and faster to help with compliance related issues.
Inducing Distant Supervision in Suggestion Mining through Part-of-Speech Embeddings
The distant supervision is obtained through a large silver standard dataset, constructed using the text from wikiHow and Wikipedia.
Translating Terminological Expressions in Knowledge Bases with Neural Machine Translation
Our work presented in this paper focuses on the translation of terminological expressions represented in semantically structured resources, like ontologies or knowledge graphs.
Expanding wordnets to new languages with multilingual sense disambiguation
The translation of wordnets is fundamentally complex because of the need to translate all senses of a word including low frequency senses, which is very challenging for current machine translation approaches.
Forecasting Emerging Trends from Scientific Literature
Text analysis methods for the automatic identification of emerging technologies by analyzing the scientific publications, are gaining attention because of their socio-economic impact.
Generating a Large-Scale Entity Linking Dictionary from Wikipedia Link Structure and Article Text
Wikipedia has been increasingly used as a knowledge base for open-domain Named Entity Linking and Disambiguation.
IRIS: English-Irish Machine Translation System
We describe IRIS, a statistical machine translation (SMT) system for translating from English into Irish and vice versa.
Missed opportunities in translation memory matching
It attempts to respond to a query in the source language with a useful target text from the data set to assist a human translator.
Hot Topics and Schisms in NLP: Community and Trend Analysis with Saffron on ACL and LREC Proceedings
In this paper we present a comparative analysis of two series of conferences in the field of Computational Linguistics, the LREC conference and the ACL conference.
Semi-Supervised Technical Term Tagging With Minimal User Feedback
In this paper, we address the problem of extracting technical terms automatically from an unannotated corpus.
Expertise Mining for Enterprise Content Management
Enterprise content analysis and platform configuration for enterprise content management is often carried out by external consultants that are not necessarily domain experts.
