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Found 6 papers, 2 papers with code
DCU-Lorcan at FinCausal 2022: Span-based Causality Extraction from Financial Documents using Pre-trained Language Models
In this paper, we describe our DCU-Lorcan system for the FinCausal 2022 shared task: span-based cause and effect extraction from financial documents.
Is a Video worth $n\times n$ Images? A Highly Efficient Approach to Transformer-based Video Question Answering
We show that by integrating our approach into VideoQA systems we can achieve comparable, even superior, performance with a significant speed up for training and inference.
Semantic-aware Dynamic Retrospective-Prospective Reasoning for Event-level Video Question Answering
Specifically, we explicitly use the Semantic Role Labeling (SRL) structure of the question in the dynamic reasoning process where we decide to move to the next frame based on which part of the SRL structure (agent, verb, patient, etc.)
Document-Level Machine Translation with Large Language Models
Large language models (LLMs) such as ChatGPT can produce coherent, cohesive, relevant, and fluent answers for various natural language processing (NLP) tasks.
QAScore -- An Unsupervised Unreferenced Metric for the Question Generation Evaluation
Question Generation (QG) aims to automate the task of composing questions for a passage with a set of chosen answers found within the passage.
Achieving Reliable Human Assessment of Open-Domain Dialogue Systems
Answering the distress call of competitions that have emphasized the urgent need for better evaluation techniques in dialogue, we present the successful development of human evaluation that is highly reliable while still remaining feasible and low cost.
