10 citations · 27 across the 5 of their papers we have counts for
5 papers
Scoring Sentence Singletons and Pairs for Abstractive Summarization
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt +4
When writing a summary, humans tend to choose content from one or two sentences and merge them into a single summary sentence. However, the mechanisms behind the selection of one o…
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization
Sangwoo Cho, Logan Lebanoff, Hassan Foroosh +1
The most important obstacles facing multi-document summarization include excessive redundancy in source descriptions and the looming shortage of training data. These obstacles prev…
Guiding Extractive Summarization with Question-Answering Rewards
Kristjan Arumae, Fei Liu
Highlighting while reading is a natural behavior for people to track salient content of a document. It would be desirable to teach an extractive summarizer to do the same. However,…
Gated End-to-End Memory Networks
Julien Perez, Fei Liu
Machine reading using differentiable reasoning models has recently shown remarkable progress. In this context, End-to-End trainable Memory Networks, MemN2N, have demonstrated promi…
A Language-independent and Compositional Model for Personality Trait Recognition from Short Texts
Fei Liu, Julien Perez, Scott Nowson
Many methods have been used to recognize author personality traits from text, typically combining linguistic feature engineering with shallow learning models, e.g. linear regressio…