These improvements in analogy retrieval were not accompanied by better correlation with human es-   Results of these experiments are shown in Table 2, and suggest an advantage for models encoding position in sequence labeling tasks.
for the sentence chunking shared task (CoNLL00), the best results obtained with an order-aware model (EARPx pos + subwords) exceeds the best baseline result by around 2%, with smaller improvements in performance on the other two tasks, including a .43% improvement in accuracy for part-of-speech tagging (PTB, without subwords) that is comparable to the .37% improvement over a SGNS baseline reported on this dataset by Ling and his colleagues (2015) when using separate (rather than shared) positiondependent context weights.