Position Bias
Related Papers
Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization
AbstractDespite the recent developments on neural summarization systems, the underlying logic behind the improvements from the systems and its corpus-dependency remains largely unexplored. Position of sentences in the original text, …...
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization
AbstractMuch progress has been made in text summarization, fueled by neural architectures using large-scale training corpora. However, in the news domain, neural models easily overfit by leveraging position-related features due …...
Look at the First Sentence: Position Bias in Question Answering
AbstractMany extractive question answering models are trained to predict start and end positions of answers. The choice of predicting answers as positions is mainly due to its simplicity and effectiveness. …...
Exploiting Position Bias for Robust Aspect Sentiment Classification
Aspect sentiment classification (ASC) aims at determining sentiments expressed towards dif- ferent aspects in a sentence. While state-of- the-art ASC models have achieved remarkable performance, they are recently shown to …...
Reducing Position Bias in Simultaneous Machine Translation with Length-Aware Framework
AbstractSimultaneous machine translation (SiMT) starts translating while receiving the streaming source inputs, and hence the source sentence is always incomplete during translating. Different from the full-sentence MT using the conventional …...