NLP Posts - Page 3

Replacing static vectors with contextualized word representations has led to significant improvements on virtually every NLP task. In this blog post we study the geometric properties of contextualized word representations and find surprising conclusions.

Does adding a theorem to any paper increase its chance of acceptance? Which writing style in an email would get the fastest response, regardless of its subject? We introduce algorithms and a python package for measuring the importance of ngram features on an outcome, while controlling for confounds.

The NLP community has made great progress on open-domain QA, but our systems still struggle to answer complex open-domain questions in an large collection of text. We present an efficient and explainable method for enabling multi-step reasoning in these systems.

Looking into multiple attributes of generated text and human-evaluate multiple aspects of conversational quality, in order to investigate how effectively we can control these attributes and how these attributes affect conversational quality and chatbot performance.

Summarizing work on two recent NLP datasets — CoQA and HotpotQA — and how they enable more conversational, explainable, and capable question answering systems.