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115 Result(s)
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Pushpak Bhattacharyya
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Chapter and Conference Paper
“Explain Thyself Bully”: Sentiment Aided Cyberbullying Detection with Explanation
Cyberbullying has become a big issue with the popularity of different social media networks and online communication apps. While plenty of research is going on to develop better models for cyberbullying detect...
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Chapter and Conference Paper
Knowledge-based Extraction of Cause–Effect Relations from Biomedical Text
We propose a knowledge-based approach for extraction of Cause–Effect (CE) relations from biomedical text. Our approach is a combination of an unsupervised machine learning technique to discover causal triggers an...
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Chapter and Conference Paper
Combining Graph-Based Dependency Features with Convolutional Neural Network for Answer Triggering
Answer triggering is the task of selecting the best-suited answer for a given question from a set of candidate answers if it exists. This paper presents a hybrid deep learning model for answer triggering, whic...
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Chapter
Natural Language Processing Meets Deep Learning
Natural language processing (NLP) also known as computational linguistics (CL) is concerned with the question of how to endow computers with the ability of analyzing and generating language.
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Book
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Chapter and Conference Paper
Two-Phased Dynamic Language Model: Improved LM for Automated Language Translation
We discuss the importance of domain specific language model in statistical machine translation system. Both the structures and phrase selection are not the same for different domains. So, the language model tr...
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Chapter
Joint Inference for End-to-end Relation Extraction
As discussed in the previous chapter, better performance for end-to-end relation extraction is achieved when the extraction of entities and relations is carried out jointly.
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Article
Open AccessSymptoms are known by their companies: towards association guided disease diagnosis assistant
Over the last few years, dozens of healthcare surveys have shown a shortage of doctors and an alarming doctor-population ratio. With the motivation of assisting doctors and utilizing their time efficiently, au...
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Article
ScienceQA: a novel resource for question answering on scholarly articles
Machine Reading Comprehension (MRC) of a document is a challenging problem that requires discourse-level understanding. Information extraction from scholarly articles nowadays is a critical use case for resear...
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Article
An attention based multi-modal gender identification system for social media users
The rising usage of social media has motivated to invent different methodologies of anonymous writing, which leads to increase in malicious and suspicious activities. This anonymity has created difficulty in f...
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Article
Open AccessDeep cascaded multitask framework for detection of temporal orientation, sentiment and emotion from suicide notes
With the upsurge in suicide rates worldwide, timely identification of the at-risk individuals using computational methods has been a severe challenge. Anyone presenting with suicidal thoughts, mainly recurring...
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Article
Open AccessInvestigating the impact of emotion on temporal orientation in a deep multitask setting
Temporal orientation is an important aspect of human cognition which shows how an individual emphasizes past, present, and future. Theoretical research in psychology shows that one’s emotional state can influe...
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Chapter and Conference Paper
CARES: CAuse Recognition for Emotion in Suicide Notes
Inspired by recent advances in emotion-cause extraction in texts and its potential in research on computational studies in suicide motives and tendencies and mental health, we address the problem of cause identif...
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Article
A Multitask Framework to Detect Depression, Sentiment and Multi-label Emotion from Suicide Notes
The significant rise in suicides is a major cause of concern in public health domain. Depression plays a major role in increasing suicide ideation among the individuals. Although most of the suicides can be av...
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Article
Towards Sentiment-Aware Multi-Modal Dialogue Policy Learning
Creation of task-oriented dialog/virtual agent (VA) capable of managing complex domain-specific user queries pertaining to multiple intents is difficult since the agent must deal with several subtasks simultan...
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Article
Scientific document summarization in multi-objective clustering framework
The exponential growth in the number of scientific articles has made it difficult for the researchers to keep themselves updated with the new developments. Scientific document summarization solves this problem...
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Article
Microblog summarization using self-adaptive multi-objective binary differential evolution
Social media platforms become paramount for gathering relevant information during the occurrence of any natural disaster. Twitter has emerged as a platform which is heavily used for the purpose of communicatio...
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Article
Simple measures of bridging lexical divergence help unsupervised neural machine translation for low-resource languages
Unsupervised Neural Machine Translation (UNMT) approaches have gained widespread popularity in recent times. Though these approaches show impressive translation performance using only monolingual corpora of th...
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Article
Augmenting training data with syntactic phrasal-segments in low-resource neural machine translation
Neural machine translation (NMT) has emerged as a preferred alternative to the previous mainstream statistical machine translation (SMT) approaches largely due to its ability to produce better translations. Th...
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Article
A hierarchical approach for efficient multi-intent dialogue policy learning
This paper proposes a hierarchical method for learning an efficient Dialogue Management (DM) strategy for task-oriented conversations serving multiple intents of a domain. Deep Reinforcement Learning (DRL) net...
