We consider negotiation settings in which two agents use natural language to bargain on
goods. Agents need to decide on both high-level strategy (eg, proposing\$50) and the …

Negotiation is a crucial ability in human communication. Recently, there has been a
resurgent research interest in negotiation dialogue systems, whose goal is to create …

Discourse processing suffers from data sparsity, especially for dialogues. As a result, we
explore approaches to build discourse structures for dialogues, based on attention matrices …

In this paper we present a comparative evaluation of various negotiation strategies within an
online version of the game “Settlers of Catan”. The comparison is based on human subjects …

While linguists and philosophers have sought to model the various ways in which the
meaning of what we say can depend on the nonlinguistic context, this work has by and large …

Meaning is a fundamental concept in Natural Language Processing (NLP), in the tasks of
both Natural Language Understanding (NLU) and Natural Language Generation (NLG) …

We present an empirical framework for testing game strategies in The Settlers of Catan, a
complex win-lose game that lacks any analytic solution. This framework provides the means …

Group deliberation enables people to collaborate and solve problems, however, it is
understudied due to a lack of resources. To this end, we introduce the first publicly available …

Despite the challenges posed by data sparsity in discourse parsing for dialogues,
unsupervised methods have been underexplored. Leveraging recent advances in Large …

The advancement of large language models (LLMs) has propelled the development of
dialogue systems. Unlike the popular ChatGPT-like assistant model, which only satisfies the …