We present an approach to event coreference resolution by developing a general framework
for clustering that uses supervised representation learning. We propose a neural network …

In this paper, we introduce an important yet relatively unexplored NLP task called Semantic
Overlap Summarization (SOS), which entails generating a single summary from multiple …

Multi-text applications, such as multi-document summarization, are typically required to
model redundancies across related texts. Current methods confronting consolidation …

Statutory reasoning is the task of determining whether a legal statute, stated in natural
language, applies to the text description of a case. Prior work introduced a resource that …

Understanding event descriptions is a central aspect of language processing, but current
approaches focus overwhelmingly on single sentences or documents. Aggregating …

Recent work has introduced an important yet relatively under-explored NLP task called
Semantic Overlap Summarization (SOS) that entails generating a summary from multiple …

Question Answering (QA) is the task of automatically generating answers to natural
language questions from humans, serving as one of the primary research areas in natural …

Structural similarities across narratives play an important role in many areas of humanities
research. In this article, we describe a methodology and an implementation to uncover such …

We propose to move from Open Information Extraction (OIE) ahead to Open Knowledge
Representation (OKR), aiming to represent information conveyed jointly in a set of texts in an …

In this article, we investigate aspects of sentential meaning that are not expressed in local
predicate–argument structures. In particular, we examine instances of semantic arguments …