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Found 19 papers, 0 papers with code
Extracting Events from Industrial Incident Reports
Incidents in industries have huge social and political impact and minimizing the consequent damage has been a high priority.
Weakly Supervised Extraction of Tasks from Text
In this paper, we propose a novel problem of automatic extraction of tasks from text.
Temporal Question Generation from History Text
Temporal analysis of history text has always held special significance to students, historians and the Social Sciences community in general.
Constructing A Dataset of Support and Attack Relations in Legal Arguments in Court Judgements using Linguistic Rules
Argumentation mining is a growing area of research and has several interesting practical applications of mining legal arguments.
Weak Supervision using Linguistic Knowledge for Information Extraction
The patterns in our patterns specification language are then matched on the ETF text rather than raw text to extract various entity mentions.
Generating An Optimal Interview Question Plan Using A Knowledge Graph And Integer Linear Programming
Given the diversity of the candidates and complexity of job requirements, and since interviewing is an inherently subjective process, it is an important task to ensure consistent, uniform, efficient and objective interviews that result in high quality recruitment.
Looking inside Noun Compounds: Unsupervised Prepositional and Free Paraphrasing
Our approach uses templates to prepare the input sequence for the language model.
Extracting Message Sequence Charts from Hindi Narrative Text
In this paper, we propose the use of Message Sequence Charts (MSC) as a representation for visualizing narrative text in Hindi.
Extraction of Message Sequence Charts from Software Use-Case Descriptions
We apply this tool to extract MSCs from several real-life software use-case descriptions and show that it performs better than the existing techniques.
Extraction of Message Sequence Charts from Narrative History Text
In this paper, we advocate the use of Message Sequence Chart (MSC) as a knowledge representation to capture and visualize multi-actor interactions and their temporal ordering.
Treat us like the sequences we are: Prepositional Paraphrasing of Noun Compounds using LSTM
It has been observed that uncovering the preposition is a significant step towards uncovering the predicate.
Identification of Alias Links among Participants in Narratives
Identification of distinct and independent participants (entities of interest) in a narrative is an important task for many NLP applications.
Event Timeline Generation from History Textbooks
Event timeline serves as the basic structure of history, and it is used as a disposition of key phenomena in studying history as a subject in secondary school.
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction
Current methods in ADR mention extraction relies on supervised learning methods, which suffers from labeled data scarcity problem.
End-to-end Relation Extraction using Neural Networks and Markov Logic Networks
End-to-end relation extraction refers to identifying boundaries of entity mentions, entity types of these mentions and appropriate semantic relation for each pair of mentions.
Measuring Topic Coherence through Optimal Word Buckets
Measuring topic quality is essential for scoring the learned topics and their subsequent use in Information Retrieval and Text classification.
