Search Results for author:
Found 8 papers, 2 papers with code
Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks
Decoder-based transformers, while revolutionizing language modeling and scaling to immense sizes, have not completely overtaken encoder-heavy architectures in natural language processing.
ArabicNLU 2024: The First Arabic Natural Language Understanding Shared Task
This paper presents an overview of the Arabic Natural Language Understanding (ArabicNLU 2024) shared task, focusing on two subtasks: Word Sense Disambiguation (WSD) and Location Mention Disambiguation (LMD).
The FIGNEWS Shared Task on News Media Narratives
The shared task addresses bias and propaganda annotation in multilingual news posts.
SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives
Dual encoders have been used for retrieval tasks and representation learning with good results.
Exploring Dual Encoder Architectures for Question Answering
We further explore and explain why parameter sharing in projection layer significantly improves the efficacy of the dual encoders, by directly probing the embedding spaces of the two encoder towers with t-SNE algorithm.
Slot Tagging for Task Oriented Spoken Language Understanding in Human-to-Human Conversation Scenarios
In this work, we extend the task oriented LU problem to human-to-human (H2H) conversations, focusing on the slot tagging task.
Bag of Experts Architectures for Model Reuse in Conversational Language Understanding
Slot tagging, the task of detecting entities in input user utterances, is a key component of natural language understanding systems for personal digital assistants.
Off-policy evaluation for slate recommendation
This paper studies the evaluation of policies that recommend an ordered set of items (e. g., a ranking) based on some context---a common scenario in web search, ads, and recommendation.
