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Found 13 papers, 5 papers with code
A Graph-Based Framework for Structured Prediction Tasks in Sanskrit
Ours is a search-based structured prediction framework, which expects a graph as input, where relevant linguistic information is encoded in the nodes, and the edges are then used to indicate the association between these nodes.
SCULPT: Systematic Tuning of Long Prompts
As large language models become increasingly central to solving complex tasks, the challenge of optimizing long, unstructured prompts has become critical.
On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification
Extreme Classification (XC) aims to map a query to the most relevant documents from a very large document set.
Frugal Prompting for Dialog Models
The research contributes to a better understanding of how LLMs can be effectively used for building interactive systems.
CORAL: Contextual Response Retrievability Loss Function for Training Dialog Generation Models
Furthermore, CE loss computation for the dialog generation task does not take the input context into consideration and, hence, it grades the response irrespective of the context.
A Study on Prompt-based Few-Shot Learning Methods for Belief State Tracking in Task-oriented Dialog Systems
Driven by the recent success of pre-trained language models and prompt-based learning, we explore prompt-based few-shot learning for Dialogue Belief State Tracking.
Representation Learning for Conversational Data using Discourse Mutual Information Maximization
Although many pretrained models exist for text or images, there have been relatively fewer attempts to train representations specifically for dialog understanding.
Hierarchical Transformer for Task Oriented Dialog Systems
Generative models for dialog systems have gained much interest because of the recent success of RNN and Transformer based models in tasks like question answering and summarization.
Exploring Effects of Random Walk Based Minibatch Selection Policy on Knowledge Graph Completion
In this paper, we have explored the effects of different minibatch sampling techniques in Knowledge Graph Completion.
Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs
Specifically, we experiment with fusing embeddings obtained from knowledge graph with the state-of-the-art approaches for NLI task (ESIM model).
Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages
Owing to the resource constraints, we formulate this task as a word ordering (linearisation) task.
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit
The configurational information in sentences of a free word order language such as Sanskrit is of limited use.
Word Segmentation in Sanskrit Using Path Constrained Random Walks
In Sanskrit, the phonemes at the word boundaries undergo changes to form new phonemes through a process called as sandhi.
