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Found 14 papers, 5 papers with code
Using Sentence-level Classification Helps Entity Extraction from Material Science Literature
In the last few years, several attempts have been made on extracting information from material science research domain.
Intent Detection and Entity Extraction from BioMedical Literature
Biomedical queries have become increasingly prevalent in web searches, reflecting the growing interest in accessing biomedical literature.
Long Dialog Summarization: An Analysis
Dialog summarization has become increasingly important in managing and comprehending large-scale conversations across various domains.
MatSciRE: Leveraging Pointer Networks to Automate Entity and Relation Extraction for Material Science Knowledge-base Construction
Material science literature is a rich source of factual information about various categories of entities (like materials and compositions) and various relations between these entities, such as conductivity, voltage, etc.
Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages
Scarcity of data and technological limitations for resource-poor languages in developing countries like India poses a threat to the development of sophisticated NLU systems for healthcare.
Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier
Observing a strong relationship between rotation prediction (self-supervised) accuracy and semantic classification accuracy on OOD tasks, we introduce an additional auxiliary classification head in our multi-task network along with semantic classification and rotation prediction head.
An Evaluation Framework for Legal Document Summarization
A law practitioner has to go through numerous lengthy legal case proceedings for their practices of various categories, such as land dispute, corruption, etc.
Fine-grained Intent Classification in the Legal Domain
A law practitioner has to go through a lot of long legal case proceedings.
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection
However, the newer intents may not be explicitly announced and need to be inferred dynamically.
RTE: A Tool for Annotating Relation Triplets from Text
In this work, we present a Web-based annotation tool `Relation Triplets Extractor' \footnote{https://abera87. github. io/annotate/} (RTE) for annotating relation triplets from the text.
Reproducibility Report: Contextualizing Hate Speech Classifiers with Post-hoc Explanation
The presented report evaluates Contextualizing Hate Speech Classifiers with Post-hoc Explanation paper within the scope of ML Reproducibility Challenge 2020.
MatScIE: An automated tool for the generation of databases of methods and parameters used in the computational materials science literature
The number of published articles in the field of materials science is growing rapidly every year.
Public Sphere 2.0: Targeted Commenting in Online News Media
Because the readers lack the time to go over an entire article, most of the comments are relevant to only particular sections of an article.
A graphical framework to detect and categorize diverse opinions from online news
This paper proposes a graphical framework to extract opinionated sentences which highlight different contexts within a given news article by introducing the concept of diversity in a graphical model for opinion detection. We conduct extensive evaluations and find that the proposed modification leads to impressive improvement in performance and makes the final results of the model much more usable.
