Open intent detection, a crucial aspect of natural language understandin...
Reasoning has been a central topic in artificial intelligence from the
b...
Deep learning has made significant progress in the past decade, and
demo...
In recent years, large language models (LLMs) have achieved strong
perfo...
Parameter-efficient tuning aims to mitigate the large memory requirement...
The most recent large language models such as ChatGPT and GPT-4 have gar...
Recent work has demonstrated that tuning continuous prompts on large, fr...
In an attempt to improve the utilization efficiency of multi-energy coup...
Building Agent Assistants that can help improve customer service support...
With the recent surge of NLP technologies in the financial domain, banks...
Seeking legal advice is often expensive. Recent advancement in machine
l...
Over the past several years, legal applications of deep learning have be...
Fact verification based on structured data is challenging as it requires...
Being able to reply with a related, fluent, and informative response is ...
While recent research on natural language inference has considerably
ben...
Conversation disentanglement aims to separate intermingled messages into...
Personas are useful for dialogue response prediction. However, the perso...
Existing dialog state tracking (DST) models are trained with dialog data...
This paper introduces the SemEval-2021 shared task 4: Reading Comprehens...
Persona can function as the prior knowledge for maintaining the consiste...
Exploiting label hierarchies has become a promising approach to tackling...
Text-to-SQL aims to map natural language questions to SQL queries. The
s...
Semantic parsing has long been a fundamental problem in natural language...
Task-oriented conversational modeling with unstructured knowledge access...
We explore end-to-end trained differentiable models that integrate natur...
Commonsense reasoning simulates the human ability to make presumptions a...
Performing fact verification based on structured data is important for m...
We present a counterfactual recognition (CR) task, the shared Task 5 of
...
In this paper, we present SemEval-2020 Task 4, Commonsense Validation an...
Image captioning is a multimodal problem that has drawn extensive attent...
This paper proposes Dynamic Memory Induction Networks (DMIN) for few-sho...
The challenges of building knowledge-grounded retrieval-based chatbots l...
Disentanglement is a problem in which multiple conversations occur in th...
In this paper, we study the problem of employing pre-trained language mo...
We propose the new problem of learning to recover reasoning chains from
...
The NOESIS II challenge, as the Track 2 of the 8th Dialogue System Techn...
Visual grounding is a ubiquitous building block in many vision-language ...
This paper proposes a dually interactive matching network (DIM) for
pres...
In this paper, we develop and explore deep anomaly detection techniques ...
Natural language inference (NLI) is among the most challenging tasks in
...
Winograd Schema Challenge (WSC) was proposed as an AI-hard problem in te...
We present our work on Track 2 in the Dialog System Technology Challenge...
A novel logographic subword model is proposed to reinterpret logograms a...
We present a system for summarization and interactive exploration of
hig...
Pooling is an essential component of a wide variety of sentence
represen...
Modeling informal inference in natural language is very challenging. Wit...
The RepEval 2017 Shared Task aims to evaluate natural language understan...
The last several years have seen intensive interest in exploring
neural-...
In this paper, we propose commonsense knowledge enhanced embeddings (KEE...
Distributed representation learned with neural networks has recently sho...