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- Microsoft Research Asia (China)CN2 papers
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5 papers · 1 filter
An Exploratory Study of Argumentative Writing by Young Students: A Transformer-based Approach
Debanjan Ghosh, Beata Beigman Klebanov, Yi Song
We present a computational exploration of argument critique writing by young students. Middle school students were asked to criticize an argument presented in the prompt, focusing…
Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation
Goran Glavaš, Swapna Somasundaran
Breaking down the structure of long texts into semantically coherent segments makes the texts more readable and supports downstream applications like summarization and retrieval. S…
A Unified Tagging Solution: Bidirectional LSTM Recurrent Neural Network with Word Embedding
Peilu Wang, Yao Qian, Frank K. Soong +2
Bidirectional Long Short-Term Memory Recurrent Neural Network (BLSTM-RNN) has been shown to be very effective for modeling and predicting sequential data, e.g. speech utterances or…
Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Recurrent Neural Network
Peilu Wang, Yao Qian, Frank K. Soong +2
Bidirectional Long Short-Term Memory Recurrent Neural Network (BLSTM-RNN) has been shown to be very effective for tagging sequential data, e.g. speech utterances or handwritten doc…
ARKref: a rule-based coreference resolution system
Brendan O'Connor, Michael Heilman
ARKref is a tool for noun phrase coreference. It is a deterministic, rule-based system that uses syntactic information from a constituent parser, and semantic information from an e…