The rapid development of information and communication technologies has enabled a value
co-creation paradigm for develo** industrial products and services, where massive …

Document-level relation extraction aims to extract relations among multiple entity pairs from
a document. Previously proposed graph-based or transformer-based models utilize the …

Recently, many password guessing algorithms have been proposed, seriously threatening
cyber security. In this paper, we systematically review over thirty methods for password …

Text-editing models have recently become a prominent alternative to seq2seq models for
monolingual text-generation tasks such as grammatical error correction, simplification, and …

Due to the dialogue characteristics of unstructured contexts and multi-parties with first-
person perspective, many successful text summarization works have failed when dealing …

User simulation has been a cost-effective technique for evaluating conversational
recommender systems. However, building a human-like simulator is still an open challenge …

Researchers are witnessing knowledge-inspired natural language processing shifts the
focus from entity-level to event-level, whereas event coreference resolution is one of the …

The task of dialogue rewriting aims to reconstruct the latest dialogue utterance by copying
the missing content from the dialogue context. Until now, the existing models for this task …

Utterance rewriting aims to recover coreferences and omitted information from the latest turn
of a multi-turn dialogue. Recently, methods that tag rather than linearly generate sequences …

This paper introduces a model for incomplete utterance restoration (IUR) called JET (\textbf
{J} oint learning token\textbf {E} xtraction and\textbf {T} ext generation). Different from prior …