Recent work has presented intriguing results examining the knowledge contained in
language models (LMs) by having the LM fill in the blanks of prompts such as “Obama is a …

Natural language inference (NLI) is the task of determining if a natural language hypothesis
can be inferred from a given premise in a justifiable manner. NLI was proposed as a …

Relation triples produced by open domain information extraction (open IE) systems are
useful for question answering, inference, and other IE tasks. Traditionally these are extracted …

Sentence matching is widely used in various natural language tasks such as natural
language inference, paraphrase identification, and question answering. For these tasks …

In the last few years, a number of NLP researchers have developed and participated in the
task of Recognizing Textual Entailment (RTE). This task encapsulates Natural Language …

Inference has been a central topic in artificial intelligence from the start, but while automatic
methods for formal deduction have advanced tremendously, comparatively little progress …

The task of paraphrasing is inherently familiar to speakers of all languages. Moreover, the
task of automatically generating or extracting semantic equivalences for the various units of …

We propose an approach to natural language inference based on a model of natural logic,
which identifies valid inferences by their lexical and syntactic features, without full semantic …

This paper presents the first use of a computational model of natural logic—a system of
logical inference which operates over natural language—for textual inference. Most current …

Blogs and forums are widely adopted by online communities to debate about various issues.
However, a user that wants to cut in on a debate may experience some difficulties in …