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Found 18 papers, 1 papers with code
NARNIA at NLP4IF-2021: Identification of Misinformation in COVID-19 Tweets Using BERTweet
The spread of COVID-19 has been accompanied with widespread misinformation on social media.
Summarization of Long Input Texts Using Multi-Layer Neural Network
The proposed MLLTS system handles the difficulty by splitting the text into several parts.
LangResearchLab_NC at CMCL2021 Shared Task: Predicting Gaze Behaviour Using Linguistic Features and Tree Regressors
Analysis of gaze data behaviour has gained momentum in recent years for different NLP applications.
MTL782_IITD at CMCL 2021 Shared Task: Prediction of Eye-Tracking Features Using BERT Embeddings and Linguistic Features
The aim of the shared task is to predict five eye-tracking features for a given word of the input sentence.
LangResearchLab_NC at FinCausal 2020, Task 1: A Knowledge Induced Neural Net for Causality Detection
Identifying causal relationships in a text is essential for achieving comprehensive natural language understanding.
Team LRL_NC at SemEval-2022 Task 4: Binary and Multi-label Classification of PCL using Fine-tuned Transformer-based Models
Among subsequently carried out experiments a variation in architecture of a system for Subtask 2 achieved a macro-average F1-Score of 0. 3527.
Scrutinizing Data from Sky: An Examination of Its Veracity in Area Based Traffic Contexts
Traffic data collection has been an overwhelming task for researchers as well as authorities over the years.
FL Games: A Federated Learning Framework for Distribution Shifts
Federated learning aims to train predictive models for data that is distributed across clients, under the orchestration of a server.
FL Games: A federated learning framework for distribution shifts
Federated learning aims to train predictive models for data that is distributed across clients, under the orchestration of a server.
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
To close the gap, we organized the BioCreative LitCovid track to call for a community effort to tackle automated topic annotation for COVID-19 literature.
Interpretation of Black Box NLP Models: A Survey
An increasing number of machine learning models have been deployed in domains with high stakes such as finance and healthcare.
LangResearchLab NC at SemEval-2021 Task 1: Linguistic Feature Based Modelling for Lexical Complexity
The present work aims at assigning a complexity score between 0 and 1 to a target word or phrase in a given sentence.
Automatic Extraction of Agriculture Terms from Domain Text: A Survey of Tools and Techniques
RAKE, TerMine, TermRaider and compares their performance in terms of precision and recall, vis-a-vis RENT, a more recent term extractor developed by these authors for agriculture domain.
Probabilistic Random Indexing for Continuous Event Detection
The present paper explores a novel variant of Random Indexing (RI) based representations for encoding language data with a view to using them in a dynamic scenario where events are happening in a continuous fashion.
An improved Bayesian TRIE based model for SMS text normalization
Normalization of SMS text, commonly known as texting language, is being pursued for more than a decade.
Examining Lead-Lag Relationships In-Depth, With Focus On FX Market As Covid-19 Crises Unfolds
Apart from better identifying the lead-lag path, the technique also gives a measure for adjudging closeness between financial time-series.
Statistical Finance Computational Engineering, Finance, and Science 91G30, 68T10, G.3.3
Rough Set based Aggregate Rank Measure & its Application to Supervised Multi Document Summarization
Firstly, it proposes a Rough Set based measure to be utilized for numerical characterization of within class ranking of objects.
