6 citations · 10 across the 4 of their papers we have counts for
8 papers · 1 filter
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora
Arjun Choudhry, Pankaj Gupta, Inder Khatri +4
Named Entity Recognition (NER) involves the identification and classification of named entities in unstructured text into predefined classes. NER in languages with limited resource…
Multi-source Neural Topic Modeling in Multi-view Embedding Spaces
Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze
Though word embeddings and topics are complementary representations, several past works have only used pretrained word embeddings in (neural) topic modeling to address data sparsit…
Neural Architectures for Fine-Grained Propaganda Detection in News
Pankaj Gupta, Khushbu Saxena, Usama Yaseen +2
This paper describes our system (MIC-CIS) details and results of participation in the fine-grained propaganda detection shared task 2019. To address the tasks of sentence (SLC) and…
textTOvec: Deep Contextualized Neural Autoregressive Topic Models of Language with Distributed Compositional Prior
Pankaj Gupta, Yatin Chaudhary, Florian Buettner +1
We address two challenges of probabilistic topic modelling in order to better estimate the probability of a word in a given context, i.e., P(word|context): (1) No Language Structur…
Document Informed Neural Autoregressive Topic Models with Distributional Prior
Pankaj Gupta, Yatin Chaudhary, Florian Buettner +1
We address two challenges in topic models: (1) Context information around words helps in determining their actual meaning, e.g., "networks" used in the contexts "artificial neural…
LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation
Pankaj Gupta, Hinrich Schütze
Recurrent neural networks (RNNs) are temporal networks and cumulative in nature that have shown promising results in various natural language processing tasks. Despite their succes…