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  1. No Access

    Chapter and Conference Paper

    Virus Causes Flu: Identifying Causality in the Biomedical Domain Using an Ensemble Approach with Target-Specific Semantic Embeddings

    Identification of Cause-Effect (CE) relation is crucial for creating a scientific knowledge-base and facilitate question-answering in the biomedical domain. An example sentence having CE relation in the biomed...

    Raksha Sharma, Girish Palshikar in Natural Language Processing and Information Systems (2021)

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    Chapter and Conference Paper

    Semantic Templates for Generating Long-Form Technical Questions

    Question generation (QG) from technical text has multiple important applications such as creation of question-banks for examinations, interviews as well as in intelligent tutoring systems. However, much of th...

    Samiran Pal, Avinash Singh, Soham Datta, Sangameshwar Patil… in Text, Speech, and Dialogue (2021)

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    Chapter and Conference Paper

    A Simple Neural Approach to Spatial Role Labelling

    Spatial Role Labelling involves identification of text segments which emit spatial semantics such as describing an object of interest, a reference point or the object’s relative position with the reference. Ta...

    Nitin Ramrakhiyani, Girish Palshikar, Vasudeva Varma in Advances in Information Retrieval (2019)

  4. No Access

    Chapter and Conference Paper

    An Unsupervised Approach for Cause-Effect Relation Extraction from Biomedical Text

    Identification of Cause-effect (CE) relation mentions, along with the arguments, are crucial for creating a scientific knowledge-base. Linguistically complex constructs are used to express CE relations in text...

    Raksha Sharma, Girish Palshikar… in Natural Language Processing and Informatio… (2018)