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5 papers · 2 filters
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks
Yelong Shen, Xiaodong Liu, Kevin Duh +1
Reading comprehension (RC) is a challenging task that requires synthesis of information across sentences and multiple turns of reasoning. Using a state-of-the-art RC model, we empi…
Why We Need New Evaluation Metrics for NLG
Jekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry +1
The majority of NLG evaluation relies on automatic metrics, such as BLEU . In this paper, we motivate the need for novel, system- and data-independent automatic evaluation methods:…
Long-Term Memory Networks for Question Answering
Fenglong Ma, Radha Chitta, Saurabh Kataria +4
Question answering is an important and difficult task in the natural language processing domain, because many basic natural language processing tasks can be cast into a question an…
Structured Attention Networks
Yoon Kim, Carl Denton, Luong Hoang +1
Attention networks have proven to be an effective approach for embedding categorical inference within a deep neural network. However, for many tasks we may want to model richer str…
Character-level Deep Conflation for Business Data Analytics
Zhe Gan, P. D. Singh, Ameet Joshi +4
Connecting different text attributes associated with the same entity (conflation) is important in business data analytics since it could help merge two different tables in a databa…