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. Since subsentential alignment is critically important to the translation quality of an Example-Based Machine Translation (EBMT) system which operates by finding and combining phrase-level matches against the training examples, …...

We present a system that finds short def- initions of terms on Web pages. It em- ploys a Maximum Entropy classifier, but it is trained on automatically generated ex- amples; …...

This paper introduces a new class of tem- poral expression – named temporal ex- pressions – and methods for recognis- ing and interpreting its members. The commonest temporal expressions typically …...

We describe a novel approach for automat- ically predicting the hidden demographic properties of social media users. Building on prior work in common-sense knowl- edge acquisition from third-person text, we …...

AbstractNatural language inference (NLI) data has proven useful in benchmarking and, especially, as pretraining data for tasks requiring language understanding. However, the crowdsourcing protocol that was used to collect this …...

AbstractFeed-forward layers constitute two-thirds of a transformer model’s parameters, yet their role in the network remains under-explored. We show that feed-forward layers in transformer-based language models operate as key-value memories, …...

AbstractLanguage models (LMs) now excel at many tasks such as question answering, reasoning, and dialog. However, they sometimes generate unsupported or misleading content. A user cannot easily determine whether their …...